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Pedro Albarran Perez

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Albarrán, Pedro, 2016. "Are migrants more productive than stayers? Some evidence for a set of highly productive academic economists," UC3M Working papers. Economics 23424, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Baldoni, Edoardo & Coderoni, Silvia & Esposti, Roberto, 2018. "Immigrant workforce and labour productivity in Italian agriculture: a farm-level analysis," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(3), May.
    2. Nahikari Irastorza & Pieter Bevelander, 2021. "Skilled Migrants in the Swedish Labour Market: An Analysis of Employment, Income and Occupational Status," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    3. Jia, Ning & Fleisher, Belton M., 2020. "Economic Incentives and the Quality of Return Migrant Scholars: The Impact of China's Thousand Young Talents Program," IZA Discussion Papers 13073, Institute of Labor Economics (IZA).
    4. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.

  2. Albarrán, Pedro & Herrero, Carmen & Villar, Antonio, 2016. "The Herrero-Villar approach to citation impact," UC3M Working papers. Economics 23969, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Brito, Ricardo & Navarro, Alonso Rodríguez, 2021. "The inconsistency of h-index: A mathematical analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    2. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Double rank analysis for research assessment," Journal of Informetrics, Elsevier, vol. 12(1), pages 31-41.
    3. Carmen Herrero & Antonio Villar, 2022. "Sports competitions and the Break-Even rule," Working Papers 22.13, Universidad Pablo de Olavide, Department of Economics.
    4. Carmen Herrero & Antonio Villar, 2019. "The Borda-Condorcet Social Evaluation Function," Working Papers 19.02, Universidad Pablo de Olavide, Department of Economics.
    5. Cristina Pita & Ramón J. Torregrosa, 2023. "The Education-Job Satisfaction Paradox in the Public Sector," Public Organization Review, Springer, vol. 23(4), pages 1717-1735, December.
    6. Carmen Herrero & Antonio Villar, 2022. "Pairwise contests: wins, losses, and strength," Working Papers 22.11, Universidad Pablo de Olavide, Department of Economics.
    7. Carmen Herrero & Antonio Villar, 2018. "The Balanced Worth: A Procedure to Evaluate Performance in Terms of Ordered Attributes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 140(3), pages 1279-1300, December.

  3. Albarrán, Pedro, 2015. "Estimation of Dynamic Nonlinear Random Effects Models with Unbalanced Panels," UC3M Working papers. Economics we1503, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Chiara Mussida & Dario Sciulli, 2022. "The dynamics of poverty in Europe: what has changed after the great recession?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 915-937, December.
    2. David Loschiavo & Federico Tullio & Antonietta di Salvatore, 2024. "Measuring households' financial fragilities: an analysis at the intersection of income, financial wealth and debt," Temi di discussione (Economic working papers) 1452, Bank of Italy, Economic Research and International Relations Area.
    3. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
    4. Bo E. Honoré & Chris Muris & Martin Weidner, 2021. "Dynamic Ordered Panel Logit Models," Working Papers 2021-14, Princeton University. Economics Department..
    5. Beusch, Elisabeth & Van Soest, Arthur, 2020. "A dynamic multinomial model of self-employment in the Netherlands," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 5-32.
    6. Georgios Marios Chrysanthou, 2021. "A Multiple Cohort Study of the Gender Gradient of Life Satisfaction during Adolescence: Longitudinal Evidence from Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1341-1376, December.
    7. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    8. Taylor, Karl & Bhadury, Soumya & Binner, Jane & Mandal, Anandadeep, 2024. "Business Cycle Turning Points and Local Labour Markets," IZA Discussion Papers 17153, Institute of Labor Economics (IZA).
    9. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2018. "The dynamics of political party support and egocentric economic evaluations: The Scottish case," European Journal of Political Economy, Elsevier, vol. 52(C), pages 192-213.
    10. Albarrán, Pedro, 2020. "Using Stata to estimate dynamic correlated random effectsprobit models with unbalanced panels," UC3M Working papers. Economics 30116, Universidad Carlos III de Madrid. Departamento de Economía.
    11. Kern, Andreas & Nosrati, Elias & Reinsberg, Bernhard & Sevinc, Dilek, 2023. "Crash for cash: Offshore financial destinations and IMF programs," European Journal of Political Economy, Elsevier, vol. 78(C).
    12. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2016. "The Dynamics of Heterogeneous Political Party Support and Egocentric Economic Evaluations: the Scottish Case," QM&ET Working Papers 16-3, University of Alicante, D. Quantitative Methods and Economic Theory.

  4. Albarrán, Pedro, 2015. "The effect of spatial mobility and other factors on academic productivity : some evidence from a set of highly productive economists," UC3M Working papers. Economics we1415, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.

  5. Albarrán, Pedro, 2014. "The elite in economics," UC3M Working papers. Economics we1414, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. José Alberto Molina & Alfredo Ferrer & David Iñiguez & Alejandro Rivero & Gonzalo Ruiz & Alfonso Tarancón, 2020. "Network analysis to measure academic performance in economics," Empirical Economics, Springer, vol. 58(3), pages 995-1018, March.
    2. Raquel Carrasco & Javier Ruiz-Castillo, 2019. "Spatial mobility in elite academic institutions in economics: the case of Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 141-172, June.
    3. Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2015. "Within- and between-department variability in individual productivity: the case of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1497-1520, February.
    4. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.

  6. Albarrán, Pedro & Perianes-Rodríguez, Antonio, 2013. "Differences in citation impact across countries," UC3M Working papers. Economics we1229, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Albarrán, Pedro & Herrero, Carmen & Villar, Antonio, 2016. "The Herrero-Villar approach to citation impact," UC3M Working papers. Economics 23969, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    3. Costas, Rodrigo, 2018. "Individual and Field Citation Distributions in 29 Broad Scientific Fields," UC3M Working papers. Economics 26100, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Double rank analysis for research assessment," Journal of Informetrics, Elsevier, vol. 12(1), pages 31-41.
    5. Peter Vinkler, 2018. "Structure of the scientific research and science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 737-756, February.
    6. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
    7. Thelwall, Mike, 2016. "The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach," Journal of Informetrics, Elsevier, vol. 10(1), pages 110-123.
    8. Fairclough, Ruth & Thelwall, Mike, 2015. "More precise methods for national research citation impact comparisons," Journal of Informetrics, Elsevier, vol. 9(4), pages 895-906.
    9. Thelwall, Mike, 2016. "Are the discretised lognormal and hooked power law distributions plausible for citation data?," Journal of Informetrics, Elsevier, vol. 10(2), pages 454-470.
    10. Thelwall, Mike & Fairclough, Ruth, 2017. "The accuracy of confidence intervals for field normalised indicators," Journal of Informetrics, Elsevier, vol. 11(2), pages 530-540.
    11. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.

  7. Albarrán, Pedro, 2012. "The measurement of scientific excellence around the world," UC3M Working papers. Economics we1208, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Perianes-Rodríguez, Antonio, 2015. "University citation distributions," UC3M Working papers. Economics we1426, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Kaur, Jasleen & Ferrara, Emilio & Menczer, Filippo & Flammini, Alessandro & Radicchi, Filippo, 2015. "Quality versus quantity in scientific impact," Journal of Informetrics, Elsevier, vol. 9(4), pages 800-808.

  8. Ruiz-Castillo, Javier & Ortuño-Ortin, Ignacio & Albarran, Pedro & Crespo, Juan A., 2010. "The Skewness of Science in 219 Sub-Fields and a Number of Aggregates," CEPR Discussion Papers 8126, C.E.P.R. Discussion Papers.

    Cited by:

    1. Herranz, Neus, 2011. "Multiplicative and fractional strategies when journals are assigned to several sub-fields," UC3M Working papers. Economics we1120, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Ruiz-Castillo, Javier & Ortuño-Ortin, Ignacio & Albarran, Pedro, 2010. "Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions," CEPR Discussion Papers 7887, C.E.P.R. Discussion Papers.
    3. Perianes-Rodriguez, Antonio & Ruiz-Castillo, Javier, 2017. "A comparison of the Web of Science and publication-level classification systems of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 32-45.
    4. Carlos Olmeda-Gómez & Maria-Antonia Ovalle-Perandones & Antonio Perianes-Rodríguez, 2017. "Co-word analysis and thematic landscapes in Spanish information science literature, 1985–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 195-217, October.
    5. Marcel Clermont & Johanna Krolak & Dirk Tunger, 2021. "Does the citation period have any effect on the informative value of selected citation indicators in research evaluations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1019-1047, February.
    6. Zhang, Lin & Sivertsen, Gunnar & Du, Huiying & HUANG, Ying & Glänzel, Wolfgang, 2021. "Gender differences in the aims and impacts of research," SocArXiv 9n347, Center for Open Science.
    7. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    8. Kyle J. Burghardt & Bradley H. Howlett & Audrey S. Khoury & Stephanie M. Fern & Paul R. Burghardt, 2020. "Three Commonly Utilized Scholarly Databases and a Social Network Site Provide Different, But Related, Metrics of Pharmacy Faculty Publication," Publications, MDPI, vol. 8(2), pages 1-10, April.
    9. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: High- and low-impact citation indicators," CEPR Discussion Papers 8716, C.E.P.R. Discussion Papers.
    10. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    11. Crespo, Juan A. & Ortuño, Ignacio, 2012. "The citation merit of scientific publications," UC3M Working papers. Economics we1136, Universidad Carlos III de Madrid. Departamento de Economía.
    12. Costas, Rodrigo, 2014. "The skewness of scientific productivity," UC3M Working papers. Economics we1402, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Olivier Gergaud & Victor Ginsburgh & Juan D. Moreno-Ternero, 2020. "Wine Ratings," Working Papers ECARES 2020-38, ULB -- Universite Libre de Bruxelles.
    14. Juan A Crespo & Yungrong Li & Javier Ruiz–Castillo, 2013. "The Measurement of the Effect on Citation Inequality of Differences in Citation Practices across Scientific Fields," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-9, March.
    15. Gergaud, Olivier & Ginsburgh, Victor & Moreno-Ternero, Juan D., 2021. "Wine Ratings: Seeking a Consensus among Tasters via Normalization, Approval, and Aggregation," Journal of Wine Economics, Cambridge University Press, vol. 16(3), pages 321-342, August.
    16. Giancarlo Ruocco & Cinzia Daraio, 2013. "An empirical approach to compare the performance of heterogeneous academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 601-625, December.
    17. Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2016. "A comparison of two ways of evaluating research units working in different scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 539-561, February.
    18. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    19. Costas, Rodrigo, 2018. "Individual and Field Citation Distributions in 29 Broad Scientific Fields," UC3M Working papers. Economics 26100, Universidad Carlos III de Madrid. Departamento de Economía.
    20. Gabriel-Alexandru Vîiu & Mihai Păunescu, 2021. "The citation impact of articles from which authors gained monetary rewards based on journal metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4941-4974, June.
    21. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
    22. Marcello D’Agostino & Valentino Dardanoni & Roberto Ghiselli Ricci, 2017. "How to standardize (if you must)," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 825-843, November.
    23. Ruiz-Castillo, Javier & Waltman, Ludo, 2015. "Field-normalized citation impact indicators using algorithmically constructed classification systems of science," Journal of Informetrics, Elsevier, vol. 9(1), pages 102-117.
    24. Albarrán, Pedro & Perianes-Rodríguez, Antonio, 2013. "Differences in citation impact across countries," UC3M Working papers. Economics we1229, Universidad Carlos III de Madrid. Departamento de Economía.
    25. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
    26. Yoshi-aki Shimada & Naotoshi Tsukada & Jun Suzuki, 2017. "Promoting diversity in science in Japan through mission-oriented research grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1415-1435, March.
    27. Li, Yunrong & Ruiz-Castillo, Javier, 2013. "The comparison of normalization procedures based on different classification systems," Journal of Informetrics, Elsevier, vol. 7(4), pages 945-958.
    28. Stegehuis, Clara & Litvak, Nelly & Waltman, Ludo, 2015. "Predicting the long-term citation impact of recent publications," Journal of Informetrics, Elsevier, vol. 9(3), pages 642-657.
    29. Vîiu, Gabriel-Alexandru, 2018. "The lognormal distribution explains the remarkable pattern documented by characteristic scores and scales in scientometrics," Journal of Informetrics, Elsevier, vol. 12(2), pages 401-415.
    30. Hu, Xiaojun & Rousseau, Ronald, 2016. "Scientific influence is not always visible: The phenomenon of under-cited influential publications," Journal of Informetrics, Elsevier, vol. 10(4), pages 1079-1091.
    31. Perianes-Rodríguez, Antonio, 2015. "University citation distributions," UC3M Working papers. Economics we1426, Universidad Carlos III de Madrid. Departamento de Economía.
    32. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Uncited papers in the structure of scientific communication," Journal of Informetrics, Elsevier, vol. 17(2).
    33. Michal Brzezinski, 2015. "Power laws in citation distributions: evidence from Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 213-228, April.
    34. Thelwall, Mike & Wilson, Paul, 2014. "Distributions for cited articles from individual subjects and years," Journal of Informetrics, Elsevier, vol. 8(4), pages 824-839.
    35. Javier Ruiz-Castillo, 2013. "The role of statistics in establishing the similarity of citation distributions in a static and a dynamic context," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 173-181, July.
    36. Lin Zhang & Gunnar Sivertsen & Huiying Du & Ying Huang & Wolfgang Glänzel, 2021. "Gender differences in the aims and impacts of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8861-8886, November.
    37. Haunschild, Robin & Bornmann, Lutz, 2016. "Normalization of Mendeley reader counts for impact assessment," Journal of Informetrics, Elsevier, vol. 10(1), pages 62-73.
    38. Ulrich Schmoch, 2020. "Mean values of skewed distributions in the bibliometric assessment of research units," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 925-935, November.
    39. Albarrán, Pedro & Crespo, Juan A. & Ortuño, Ignacio, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," UC3M Working papers. Economics we1109, Universidad Carlos III de Madrid. Departamento de Economía.
    40. Campanario, Juan Miguel, 2015. "Providing impact: The distribution of JCR journals according to references they contribute to the 2-year and 5-year journal impact factors," Journal of Informetrics, Elsevier, vol. 9(2), pages 398-407.
    41. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "How important is choice of the scaling factor in standardizing citations?," Journal of Informetrics, Elsevier, vol. 6(4), pages 645-654.
    42. Vîiu, Gabriel-Alexandru, 2017. "Disaggregated research evaluation through median-based characteristic scores and scales: a comparison with the mean-based approach," Journal of Informetrics, Elsevier, vol. 11(3), pages 748-765.
    43. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    44. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2015. "Improving the normalization effect of mean-based method from the perspective of optimization: optimization-based linear methods and their performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 587-607, January.
    45. Ruiz-Castillo, Javier, 2011. "The Evaluation of Citation Distributions," CEPR Discussion Papers 8681, C.E.P.R. Discussion Papers.
    46. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2017. "An investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level," Journal of Informetrics, Elsevier, vol. 11(1), pages 324-335.
    47. Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2015. "Within- and between-department variability in individual productivity: the case of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1497-1520, February.
    48. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
    49. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "On the interplay between normalisation, bias, and performance of paper impact metrics," Journal of Informetrics, Elsevier, vol. 13(1), pages 270-290.
    50. Perianes-Rodríguez, Antonio, 2014. "Within and across department variability in individual productivity : the case of economics," UC3M Working papers. Economics we1404, Universidad Carlos III de Madrid. Departamento de Economía.
    51. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
    52. Gabriel-Alexandru Vîiu & Mihai Păunescu & Adrian Miroiu, 2016. "Research-driven classification and ranking in higher education: an empirical appraisal of a Romanian policy experience," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 785-805, May.
    53. Albarrán, Pedro & Ortuño, Ignacio, 2009. "The measurement of low- and high-impact in citation distributions : technical results," UC3M Working papers. Economics we095735, Universidad Carlos III de Madrid. Departamento de Economía.
    54. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    55. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
    56. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    57. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2014. "Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1679-1693, December.
    58. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    59. Albarrán, Pedro, 2012. "The measurement of scientific excellence around the world," UC3M Working papers. Economics we1208, Universidad Carlos III de Madrid. Departamento de Economía.
    60. Marzolla, Moreno, 2016. "Assessing evaluation procedures for individual researchers: The case of the Italian National Scientific Qualification," Journal of Informetrics, Elsevier, vol. 10(2), pages 408-438.
    61. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    62. Gabriel-Alexandru Vȋiu & Mihai Păunescu, 2021. "The lack of meaningful boundary differences between journal impact factor quartiles undermines their independent use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1495-1525, February.
    63. Crespo, Juan A., 2012. "Differences in citation impact across scientific fields," UC3M Working papers. Economics we1206, Universidad Carlos III de Madrid. Departamento de Economía.
    64. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2016. "The productivity of top researchers: A semi-nonparametric approach," Documentos de Trabajo de Valor Público 14437, Universidad EAFIT.
    65. Marzolla, Moreno, 2015. "Quantitative analysis of the Italian National Scientific Qualification," Journal of Informetrics, Elsevier, vol. 9(2), pages 285-316.
    66. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    67. Denis Bouyssou & Thierry Marchant, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Post-Print hal-01397699, HAL.
    68. T. S. Evans & N. Hopkins & B. S. Kaube, 2012. "Universality of performance indicators based on citation and reference counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 473-495, November.
    69. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    70. Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 2012-071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    71. Tobias Kiesslich & Marlena Beyreis & Georg Zimmermann & Andreas Traweger, 2021. "Citation inequality and the Journal Impact Factor: median, mean, (does it) matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1249-1269, February.
    72. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    73. Cinzia Daraio & Giancarlo Ruocco, 2012. "An Empirical Approach to Compare the Performance of Heterogeneous Academic Fields," DIAG Technical Reports 2012-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    74. Vaccario, Giacomo & Medo, Matúš & Wider, Nicolas & Mariani, Manuel Sebastian, 2017. "Quantifying and suppressing ranking bias in a large citation network," Journal of Informetrics, Elsevier, vol. 11(3), pages 766-782.
    75. Argyropoulou, Maria & Soderquist, Klas Eric & Ioannou, George, 2019. "Getting out of the European Paradox trap: Making European research agile and challenge driven," European Management Journal, Elsevier, vol. 37(1), pages 1-5.
    76. Kaur, Jasleen & Ferrara, Emilio & Menczer, Filippo & Flammini, Alessandro & Radicchi, Filippo, 2015. "Quality versus quantity in scientific impact," Journal of Informetrics, Elsevier, vol. 9(4), pages 800-808.

  9. Albarrán, Pedro & Ortuño, Ignacio, 2010. "High - and low-impact citation measures: empirical applications," UC3M Working papers. Economics we10_09, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Herranz, Neus, 2011. "Multiplicative and fractional strategies when journals are assigned to several sub-fields," UC3M Working papers. Economics we1120, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Albarrán, Pedro & Herrero, Carmen & Villar, Antonio, 2016. "The Herrero-Villar approach to citation impact," UC3M Working papers. Economics 23969, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    4. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
    5. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
    6. Raquel Carrasco & Javier Ruiz-Castillo, 2019. "Spatial mobility in elite academic institutions in economics: the case of Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 141-172, June.
    7. Ruiz-Castillo, Javier, 2011. "The Evaluation of Citation Distributions," CEPR Discussion Papers 8681, C.E.P.R. Discussion Papers.
    8. Albarrán, Pedro & Ortuño, Ignacio, 2009. "The measurement of low- and high-impact in citation distributions : technical results," UC3M Working papers. Economics we095735, Universidad Carlos III de Madrid. Departamento de Economía.
    9. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    10. Schreiber, Michael, 2013. "A case study of the arbitrariness of the h-index and the highly-cited-publications indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 379-387.
    11. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    12. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    13. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    14. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
    15. Yang, Siluo & Zheng, Mengxue & Yu, Yonghao & Wolfram, Dietmar, 2021. "Are Altmetric.com scores effective for research impact evaluation in the social sciences and humanities?," Journal of Informetrics, Elsevier, vol. 15(1).

  10. Ruiz-Castillo, Javier & Ortuño-Ortin, Ignacio & Albarran, Pedro, 2010. "Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions," CEPR Discussion Papers 7887, C.E.P.R. Discussion Papers.

    Cited by:

    1. Albarrán, Pedro & Herrero, Carmen & Villar, Antonio, 2016. "The Herrero-Villar approach to citation impact," UC3M Working papers. Economics 23969, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Ruiz-Castillo, Javier & Ortuño-Ortin, Ignacio & Albarran, Pedro, 2010. "Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions," CEPR Discussion Papers 7887, C.E.P.R. Discussion Papers.
    3. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
    4. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
    5. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    6. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    7. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    8. Tomaz Bartol & Gordana Budimir & Primoz Juznic & Karmen Stopar, 2016. "Mapping and classification of agriculture in Web of Science: other subject categories and research fields may benefit," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 979-996, November.

  11. Albarrán, Pedro, 2009. "Transport infraestructure, sunk costs and firms' export behaviour," UC3M Working papers. Economics we092213, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Liquan Guo & Zhongzhen Yang, 2019. "Relationship Between Shipping Accessibility and Maritime Transport Demand: the Case of Mainland China," Networks and Spatial Economics, Springer, vol. 19(1), pages 149-175, March.
    2. Fabling, Richard & Grimes, Arthur & Sanderson, Lynda, 2013. "Any port in a storm: Impacts of new port infrastructure on exporter behaviour," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 33-47.
    3. Eddy Bekkers, 2011. "Heterogeneous Popularity and Exporting Uncertainty," Open Economies Review, Springer, vol. 22(5), pages 797-824, November.
    4. Richard Fabling & Arthur Grimes & Lynda Sanderson, 2011. "Any port in a storm? The impact of new port infrastructure on New Zealand exporter behaviour," Reserve Bank of New Zealand Discussion Paper Series DP2011/01, Reserve Bank of New Zealand.

  12. Albarrán, Pedro & Crespo, Juan A. & Ortuño, Ignacio, 2009. "A comparison of the scientific performance of the U. S. and the European Union at the turn of the XXI century," UC3M Working papers. Economics we095534, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Ruiz-Castillo, Javier & Ortuño-Ortin, Ignacio & Albarran, Pedro, 2010. "Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions," CEPR Discussion Papers 7887, C.E.P.R. Discussion Papers.
    2. Benedetto, Lepori & Geuna, Aldo & Veglio, Valerio, 2017. "A Typology of European Universities. Differentiation and resource distribution," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201702, University of Turin.
    3. Gergaud, Olivier & Ginsburgh, Victor & Moreno-Ternero, Juan D., 2021. "Wine Ratings: Seeking a Consensus among Tasters via Normalization, Approval, and Aggregation," Journal of Wine Economics, Cambridge University Press, vol. 16(3), pages 321-342, August.
    4. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
    5. Albarrán, Pedro & Perianes-Rodríguez, Antonio, 2013. "Differences in citation impact across countries," UC3M Working papers. Economics we1229, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
    7. Jürgen Janger & Agnes Kügler & Andreas Reinstaller & Fabian Unterlass, 2017. "Austria 2025 – Looking Out For the Frontier(s): Towards a New Framework For Frontier Measurement in Science, Technology and Innovation," WIFO Studies, WIFO, number 59289.
    8. Brigida Blasi & Sandra Romagnosi & Andrea Bonaccorsi, 2018. "Universities as celebrities? How the media select information from a large research assessment exercise," Science and Public Policy, Oxford University Press, vol. 45(4), pages 503-514.
    9. Wifo, 2014. "WIFO-Monatsberichte, Heft 1/2014," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(1), January.
    10. Ruiz-Castillo, Javier, 2011. "The Evaluation of Citation Distributions," CEPR Discussion Papers 8681, C.E.P.R. Discussion Papers.
    11. Perianes-Rodríguez, Antonio, 2015. "Multiplicative versus fractional counting methods for co-authored publications : the case of the 500 universities in the Leiden ranking," UC3M Working papers. Economics we1505, Universidad Carlos III de Madrid. Departamento de Economía.
    12. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
    13. Albarrán, Pedro & Ortuño, Ignacio, 2009. "The measurement of low- and high-impact in citation distributions : technical results," UC3M Working papers. Economics we095735, Universidad Carlos III de Madrid. Departamento de Economía.
    14. Jürgen Janger & Klaus Nowotny, 2014. "Bestimmungsfaktoren für die Arbeitsplatzwahl von Wissenschaftern und Wissenschafterinnen," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(1), pages 81-89, January.
    15. Hrvoje Matakovic & Mirjana Pejic Bach & Iva Radocaj Novak, 2013. "Scientific Productivity in Transition Countries: Trends and Obstacles," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(2), pages 174-189.
    16. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    17. David Bailey & Lisa de Propris & Jürgen Janger, 2015. "Industrial and Innovation Policy as Drivers of Change. WWWforEurope Deliverable No. 9," WIFO Studies, WIFO, number 58412.
    18. Jürgen Janger, 2015. "Business Science Links For a New Growth Path. WWWforEurope Working Paper No. 107," WIFO Studies, WIFO, number 58413.
    19. Benedetto Lepori & Aldo Geuna & Valerio Veglio, 2017. "A Typology of European Research Universities. Differentiation, Layering and Resource Distribution," SPRU Working Paper Series 2017-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    20. Lucio Cassia & Alfredo Massis & Michele Meoli & Tommaso Minola, 2014. "Entrepreneurship research centers around the world: research orientation, knowledge transfer and performance," The Journal of Technology Transfer, Springer, vol. 39(3), pages 376-392, June.
    21. Mátyás, László & Balázsi, László & Dömötör, Erika, 2016. "Emberi tényező a gazdaságban. Összegzés a COEURE-projekt tanulmányaiból, I [The human factor in the economy. Summary of the COEURE project studies, I]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 407-430.

  13. Albarrán, Pedro, 2009. "References made and citations received by scientific articles," UC3M Working papers. Economics we094581, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Iñaki Ucar & Felipe López-Fernandino & Pablo Rodriguez-Ulibarri & Laura Sesma-Sanchez & Veronica Urrea-Micó & Joaquín Sevilla, 2014. "Growth in the number of references in engineering journal papers during the 1972–2013 period," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1855-1864, March.
    2. Marcel Clermont & Johanna Krolak & Dirk Tunger, 2021. "Does the citation period have any effect on the informative value of selected citation indicators in research evaluations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1019-1047, February.
    3. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    4. Aurora A. C. Teixeira, 2011. "Mapping the (in)visible college(s) in the field of entrepreneurship," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 1-36, October.
    5. Costas, Rodrigo, 2014. "The skewness of scientific productivity," UC3M Working papers. Economics we1402, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Juan A Crespo & Yungrong Li & Javier Ruiz–Castillo, 2013. "The Measurement of the Effect on Citation Inequality of Differences in Citation Practices across Scientific Fields," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-9, March.
    7. Costas, Rodrigo, 2018. "Individual and Field Citation Distributions in 29 Broad Scientific Fields," UC3M Working papers. Economics 26100, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
    9. Ruiz-Castillo, Javier & Waltman, Ludo, 2015. "Field-normalized citation impact indicators using algorithmically constructed classification systems of science," Journal of Informetrics, Elsevier, vol. 9(1), pages 102-117.
    10. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
    11. Lutz Bornmann & Wolfgang Glänzel, 2017. "Applying the CSS method to bibliometric indicators used in (university) rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1077-1079, February.
    12. Vîiu, Gabriel-Alexandru, 2018. "The lognormal distribution explains the remarkable pattern documented by characteristic scores and scales in scientometrics," Journal of Informetrics, Elsevier, vol. 12(2), pages 401-415.
    13. Teixeira, Aurora A. C. & Castro e Silva, Manuela, 2015. "Relational environment and intellectual roots of 'ecological economics': An orthodox or heterodox field of research?," Economics Discussion Papers 2015-52, Kiel Institute for the World Economy (IfW Kiel).
    14. Perianes-Rodríguez, Antonio, 2015. "University citation distributions," UC3M Working papers. Economics we1426, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Michal Brzezinski, 2015. "Power laws in citation distributions: evidence from Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 213-228, April.
    16. Chen, Meiqian & Guo, Zhaoxia & Dong, Yucheng & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes," Journal of Informetrics, Elsevier, vol. 15(4).
    17. Min Song & Su Yeon Kim, 2013. "Detecting the knowledge structure of bioinformatics by mining full-text collections," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 183-201, July.
    18. Javier Ruiz-Castillo, 2013. "The role of statistics in establishing the similarity of citation distributions in a static and a dynamic context," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 173-181, July.
    19. Ulrich Schmoch, 2020. "Mean values of skewed distributions in the bibliometric assessment of research units," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 925-935, November.
    20. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    21. Albarrán, Pedro & Crespo, Juan A. & Ortuño, Ignacio, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," UC3M Working papers. Economics we1109, Universidad Carlos III de Madrid. Departamento de Economía.
    22. Campanario, Juan Miguel, 2015. "Providing impact: The distribution of JCR journals according to references they contribute to the 2-year and 5-year journal impact factors," Journal of Informetrics, Elsevier, vol. 9(2), pages 398-407.
    23. Vîiu, Gabriel-Alexandru, 2017. "Disaggregated research evaluation through median-based characteristic scores and scales: a comparison with the mean-based approach," Journal of Informetrics, Elsevier, vol. 11(3), pages 748-765.
    24. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    25. Sánchez-Gil, Susana & Gorraiz, Juan & Melero-Fuentes, David, 2018. "Reference density trends in the major disciplines," Journal of Informetrics, Elsevier, vol. 12(1), pages 42-58.
    26. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    27. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2015. "Improving the normalization effect of mean-based method from the perspective of optimization: optimization-based linear methods and their performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 587-607, January.
    28. Ruiz-Castillo, Javier, 2011. "The Evaluation of Citation Distributions," CEPR Discussion Papers 8681, C.E.P.R. Discussion Papers.
    29. Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2015. "Within- and between-department variability in individual productivity: the case of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1497-1520, February.
    30. Wolfgang Glänzel & Bart Thijs, 2018. "The role of baseline granularity for benchmarking citation impact. The case of CSS profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 521-536, July.
    31. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
    32. Donner, Paul & Aman, Valeria, 2015. "Quantilbasierte Indikatoren für Impact und Publikationsstrategie: Ergebnisse für Deutschland in allen Fachdisziplinen in den Jahren 2000 bis 2011," Studien zum deutschen Innovationssystem 8-2015, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    33. Albarrán, Pedro & Ortuño, Ignacio, 2009. "The measurement of low- and high-impact in citation distributions : technical results," UC3M Working papers. Economics we095735, Universidad Carlos III de Madrid. Departamento de Economía.
    34. Lin Zhang & Wolfgang Glänzel, 2017. "A citation-based cross-disciplinary study on literature aging: part I—the synchronous approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1573-1589, June.
    35. R. Basurto-Flores & L. Guzmán-Vargas & S. Velasco & A. Medina & A. Calvo Hernandez, 2018. "On entropy research analysis: cross-disciplinary knowledge transfer," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 123-139, October.
    36. Bart Thijs & Koenraad Debackere & Wolfgang Glänzel, 2017. "Improved author profiling through the use of citation classes," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 829-839, May.
    37. Wolfgang Glänzel & Lin Zhang, 2018. "Scientometric research assessment in the developing world: A tribute to Michael J. Moravcsik from the perspective of the twenty-first century," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1517-1532, June.
    38. Finardi, Ugo, 2013. "Correlation between Journal Impact Factor and Citation Performance: An experimental study," Journal of Informetrics, Elsevier, vol. 7(2), pages 357-370.
    39. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2017. "Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1665-1680, December.
    40. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2013. "Evaluating research institutions: the potential of the success-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 85-101, July.
    41. Yu-Wei Chang, 2021. "Characteristics of high research performance authors in the field of library and information science and those of their articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3373-3391, April.
    42. Lafond, Francois, 2012. "Learning and the structure of citation networks," MERIT Working Papers 2012-071, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    43. Alexander Serenko & Mauricio Marrone & John Dumay, 2022. "Scientometric portraits of recognized scientists: a structured literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4827-4846, August.
    44. Aldrich, Howard E., 2012. "The emergence of entrepreneurship as an academic field: A personal essay on institutional entrepreneurship," Research Policy, Elsevier, vol. 41(7), pages 1240-1248.
    45. Michał Brzeziński, 2014. "Empirical modeling of the impact factor distribution," Working Papers 2014-01, Faculty of Economic Sciences, University of Warsaw.
    46. Pei-Shan Chi & Wolfgang Glänzel, 2018. "Comparison of citation and usage indicators in research assessment in scientific disciplines and journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 537-554, July.
    47. Zoller, Daniel & Doerfel, Stephan & Jäschke, Robert & Stumme, Gerd & Hotho, Andreas, 2016. "Posted, visited, exported: Altmetrics in the social tagging system BibSonomy," Journal of Informetrics, Elsevier, vol. 10(3), pages 732-749.

  14. Albarrán, Pedro & Ortuño, Ignacio, 2009. "The measurement of low- and high-impact in citation distributions : technical results," UC3M Working papers. Economics we095735, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Herranz, Neus, 2011. "Multiplicative and fractional strategies when journals are assigned to several sub-fields," UC3M Working papers. Economics we1120, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Albarrán, Pedro & Herrero, Carmen & Villar, Antonio, 2016. "The Herrero-Villar approach to citation impact," UC3M Working papers. Economics 23969, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Ruiz-Castillo, Javier & Ortuño-Ortin, Ignacio & Albarran, Pedro, 2010. "Average-based versus High- and Low-Impact Indicators for the Evaluation of Scientific Distributions," CEPR Discussion Papers 7887, C.E.P.R. Discussion Papers.
    4. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: High- and low-impact citation indicators," CEPR Discussion Papers 8716, C.E.P.R. Discussion Papers.
    5. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    6. Perme, Maja Pohar & Stare, Janez & Žaucer, Rok & Žaucer, Matjaž, 2012. "Comparison of the citation distribution and h-index between groups of different sizes," Journal of Informetrics, Elsevier, vol. 6(4), pages 712-720.
    7. Ricardo Martínez & Antonio Villar, 2018. "Multilevel Proficiency Comparisons With An Application To Educational Outcomes In Pisa," Working Papers 18.04, Universidad Pablo de Olavide, Department of Economics.
    8. Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2016. "A comparison of two ways of evaluating research units working in different scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 539-561, February.
    9. M. A. Martínez & M. Herrera & J. López-Gijón & E. Herrera-Viedma, 2014. "H-Classics: characterizing the concept of citation classics through H-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1971-1983, March.
    10. Ruiz-Castillo, Javier & Herranz, Neus, 2011. "Sub-field normalization in the multiplicative case: Average-based citation indicators," CEPR Discussion Papers 8715, C.E.P.R. Discussion Papers.
    11. Neus Herranz & Javier Ruiz-Castillo, 2013. "The end of the “European Paradox”," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 453-464, April.
    12. Perianes-Rodríguez, Antonio, 2015. "University citation distributions," UC3M Working papers. Economics we1426, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Ruiz-Castillo, Javier, 2011. "The Evaluation of Citation Distributions," CEPR Discussion Papers 8681, C.E.P.R. Discussion Papers.
    14. Perianes-Rodríguez, Antonio, 2015. "Multiplicative versus fractional counting methods for co-authored publications : the case of the 500 universities in the Leiden ranking," UC3M Working papers. Economics we1505, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
    16. Abatemarco, Antonio & Dell'Anno, Roberto, 2011. "Certainty equivalent citation: a generalized class of citation indexes," MPRA Paper 36367, University Library of Munich, Germany.
    17. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    18. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    19. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    20. Albarrán, Pedro, 2012. "The measurement of scientific excellence around the world," UC3M Working papers. Economics we1208, Universidad Carlos III de Madrid. Departamento de Economía.
    21. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
    22. Bouyssou, Denis & Marchant, Thierry, 2014. "An axiomatic approach to bibliometric rankings and indices," Journal of Informetrics, Elsevier, vol. 8(3), pages 449-477.
    23. M. A. Martínez & M. Herrera & E. Contreras & A. Ruíz & E. Herrera-Viedma, 2015. "Characterizing highly cited papers in Social Work through H-Classics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1713-1729, February.
    24. Argyropoulou, Maria & Soderquist, Klas Eric & Ioannou, George, 2019. "Getting out of the European Paradox trap: Making European research agile and challenge driven," European Management Journal, Elsevier, vol. 37(1), pages 1-5.

  15. Albarrán, Pedro & Martínez-Granado, Maite, 2007. "Inequality for wage earners and self-employed : evidence from panel data," UC3M Working papers. Economics we072414, Universidad Carlos III de Madrid. Departamento de Economía.

    Cited by:

    1. Molina, Jose Alberto & Velilla, Jorge & Ortega, Raquel, 2015. "The decision to become an entrepreneur in Spain: The role of the household financial situation," MPRA Paper 68101, University Library of Munich, Germany.
    2. Eisenhauer, Philipp & Pfeiffer, Friedhelm, 2008. "Assessing intergenerational earnings persistence among German workers," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 119-137.
    3. Sánchez-Marcos, Virginia & Pijoan-Mas, Josep, 2009. "Spain is Different: Falling Trends of Inequality," CEPR Discussion Papers 7489, C.E.P.R. Discussion Papers.
    4. Roberto Iacono & Elisa Palagi, 2020. "Still the lands of equality? On the heterogeneity of individual factor income shares in the Nordics," LEM Papers Series 2020/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Eisenhauer, Philipp & Pfeiffer, Friedhelm, 2008. "Assessing intergenerational earnings persistence among German workers," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 41(2/3), pages 119-137.
    6. David Aristei & Cristiano Perugini, 2012. "The Drivers of Income Mobility in Europe," Working Papers 262, ECINEQ, Society for the Study of Economic Inequality.
    7. Jens Holscher & Cristiano Perugini & Fabrizio Pompei, 2011. "Wage inequality, labour market flexibility and duality in Eastern and Western Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 23(3), pages 271-310.
    8. Belloc, Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Living in Rural Areas and Self-Employment," IZA Discussion Papers 15059, Institute of Labor Economics (IZA).
    9. Carroll, Christopher D. & Slacalek, Jiri & Tokuoka, Kiichi, 2014. "The Distribution of wealth and the MPC: implications of new European data," Working Paper Series 1648, European Central Bank.
    10. Ada Ferrer-i-carbonell & X. Ramos & M. Oviedo, 2013. "GINI Country Report: Growing Inequalities and their Impacts in Spain," GINI Country Reports spain, AIAS, Amsterdam Institute for Advanced Labour Studies.
    11. Belloc, Ignacio, 2022. "Emprendimiento en entornos rurales: Evidencia con la Encuesta Europea sobre Condiciones Laborales [Entrepreneurship in rural settings: Evidence from the European Working Conditions Survey]," MPRA Paper 111591, University Library of Munich, Germany.
    12. Thomas B. Astebro & Jing Chen, 2014. "The entrepreneurial earnings puzzle: Mismeasurement or real?," Post-Print hal-00829057, HAL.
    13. Alfonso R. Sánchez Martín, 2019. "Capacidad económica y pautas de cotización y formación de pensiones de los trabajadores autónomos en España: evidencia empírica en el intervalo 2008/2017," Studies on the Spanish Economy eee2019-27, FEDEA.

  16. Pedro Albarran & Orazio P. Attanasio, 2002. "Do Public Transfers Crowd Out Private Transfers?: Evidence from a Randomized Experiment in Mexico," WIDER Working Paper Series DP2002-06, World Institute for Development Economic Research (UNU-WIDER).

    Cited by:

    1. Leandro Carvalho, 2010. "Poverty and Time Preference," Working Papers WR-759, RAND Corporation.
    2. Marcos Rangel & Imran Rasul & Giacomo de Giorgi & Manuela Angelucci, 2009. "Insurance, Investment, And The Extended Family," 2009 Meeting Papers 24, Society for Economic Dynamics.
    3. Paul J. Gertler & Orie Shelef & Catherine D. Wolfram & Alan Fuchs, 2016. "The Demand for Energy-Using Assets among the World's Rising Middle Classes," American Economic Review, American Economic Association, vol. 106(6), pages 1366-1401, June.
    4. Matthew Jowett, 2003. "Do informal risk sharing networks crowd out public voluntary health insurance? Evidence from Vietnam," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1153-1161.
    5. Richard Disney & Eleonora Fischera & Trudy Owens, 2010. "Has the Introduction of Microfinance Crowded-out Informal Loans in Malawi?," Discussion Papers 10/08, University of Nottingham, CREDIT.
    6. Angelucci, Manuela, 2004. "Aid and Migration: An Analysis of the Impact of Progresa on the Timing and Size of Labour Migration," IZA Discussion Papers 1187, Institute of Labor Economics (IZA).
    7. Edwin Fourrier-Nicolai, 2020. "How Family Transfers Crowd-out Social Assistance in Germany," AMSE Working Papers 2023, Aix-Marseille School of Economics, France.
    8. Marina Pavan & Aldo Colussi, 2008. "Assessing the Impact of Public Transfers on Private Risk Sharing Arrangements. Evidence from a Randomized Experiment in Mexico," Working Papers 200807, Geary Institute, University College Dublin.
    9. Strobbe, Francesco & Miller, Candace, 2011. "Cash transfers in an epidemic context : the interaction of formal and informal support in rural Malawi," Policy Research Working Paper Series 5824, The World Bank.
    10. Masako Hasegawa, 2017. "Risk-Coping Measures against Health Shocks during the Process of Penetration of Health Insurance in Vietnam," Asian Economic Journal, East Asian Economic Association, vol. 31(2), pages 139-164, June.
    11. Carolina Alban Conto, 2021. "Does Distance-Driven Information Asymmetry Affect Private Income Transfers? Theory and Evidence From Colombia," Working Papers hal-03192955, HAL.
    12. Stefan Dercon, 2002. "Income Risk, Coping Strategies, and Safety Nets," The World Bank Research Observer, World Bank, vol. 17(2), pages 141-166, September.
    13. Angelucci, Manuela & De Giorgi, Giacomo, 2006. "Indirect Effects of an Aid Program: The Case of Progresa and Consumption," IZA Discussion Papers 1955, Institute of Labor Economics (IZA).
    14. Christopher B. Barrett & Stein T. Holden & Daniel C. Clay, 2002. "Can Food-for-Work Programmes Reduce Vulnerability?," WIDER Working Paper Series DP2002-24, World Institute for Development Economic Research (UNU-WIDER).
    15. Angelucci, Manuela & De Giorgi, Giacomo & Rangel, Marcos A. & Rasul, Imran, 2009. "Extended Family Networks in Rural Mexico: A Descriptive Analysis," IZA Discussion Papers 4498, Institute of Labor Economics (IZA).
    16. Laura Juarez, 2007. "Altruism, Exchange and Crowding Out of Private Support to the Elderly: Evidence from a Demogrant in Mexico," Working Papers 0707, Centro de Investigacion Economica, ITAM.
    17. Juarez, Laura, 2009. "Crowding out of private support to the elderly: Evidence from a demogrant in Mexico," Journal of Public Economics, Elsevier, vol. 93(3-4), pages 454-463, April.
    18. Lentz, Erin C. & Barrett, Christopher B., 2004. "Food Aid Targeting, Shocks And Private Transfers Among East African Pastoralists," 2004 Annual meeting, August 1-4, Denver, CO 20247, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Sulaiman, Munshi, 2010. "Incentive and crowding out effects of food assistance: evidence from randomized evaluation of food-for-training project in Southern Sudan," LSE Research Online Documents on Economics 58095, London School of Economics and Political Science, LSE Library.
    20. Gertler, Paul & Martinez, Sebastian & Rubio-Codina, Marta, 2006. "Investing cash transfers to raise long term living standards," Policy Research Working Paper Series 3994, The World Bank.
    21. Matthew Jowett, 2004. "Theoretical insights into the development of health insurance in low-income countries," Working Papers 188chedp, Centre for Health Economics, University of York.
    22. Pelek, Selin & Polat, Sezgin, 2019. "Exploring inter-household transfers:An assessment using panel data from Turkey," GIAM Working Papers 00-0, Galatasaray University Economic Research Center.
    23. Manuela Angelucci & Giacomo De Giorgi, 2009. "Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?," American Economic Review, American Economic Association, vol. 99(1), pages 486-508, March.
    24. Daniel Clarke & Sefan Dercon, 2009. "Insurance, Credit and Safety Nets for the Poor in a World of Risk," Working Papers 81, United Nations, Department of Economics and Social Affairs.
    25. Gulesci,Selim, 2020. "Poverty Alleviation and Interhousehold Transfers : Evidence from BRAC's Graduation Program in Bangladesh," Policy Research Working Paper Series 9467, The World Bank.

  17. Albarran, P., 2000. "Income Uncertainty and Precautionary Saving: Evidence from Household Rotating Panel Data," Papers 0008, Centro de Estudios Monetarios Y Financieros-.

    Cited by:

    1. Pedro Albarrán & Raquel Carrasco & Maite Martínez-Granado, 2007. "Inequality for Wage Earners and Self-Employed: Evidence from Panel Data," Working Papers 0734, Banco de España.
    2. Josep Pijoan-Mas, 2006. "Precautionary Savings or Working Longer Hours?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 326-352, April.
    3. Cristina Barceló, 2008. "The impact of alternative imputation methods on the measurement of income and wealth: Evidence from the Spanish survey of household finances," Working Papers 0829, Banco de España.
    4. Abdul Jalil, Ahmad Zafarullah & Abdul Karim, Noor Al-Huda, 2008. "Constraining the spending behavior of subnational governments through borrowing limitation: The case of Malaysia," MPRA Paper 25234, University Library of Munich, Germany.
    5. Abdul Jalil, Ahmad Zafarullah, 2009. "The importance of precautionary saving motive among Indonesian households," MPRA Paper 25189, University Library of Munich, Germany.
    6. Samuel Bentolila & Andrea Ichino, 2008. "Unemployment and consumption near and far away from the Mediterranean," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(2), pages 255-280, April.

Articles

  1. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Geographic mobility and research productivity in a selection of top world economics departments," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 241-265, April.

    Cited by:

    1. Raquel Carrasco & Javier Ruiz-Castillo, 2019. "Spatial mobility in elite academic institutions in economics: the case of Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 141-172, June.
    2. He, Zekai & Zhen, Ni & Wu, Chaojiang, 2019. "Measuring and exploring the geographic mobility of American professors from graduating institutions: Differences across disciplines, academic ranks, and genders," Journal of Informetrics, Elsevier, vol. 13(3), pages 771-784.
    3. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    4. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2023. "Is there a differentiated gender effect of collaboration with super-cited authors? Evidence from junior researchers in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2317-2336, April.
    5. Abdelghani Maddi & Lesya Baudoin, 2022. "The quality of the web of science data: a longitudinal study on the completeness of authors-addresses links," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6279-6292, November.
    6. Konstantinos Chatzimichael & Pantelis Kalaitzidakis & Vangelis Tzouvelekas, 2017. "Measuring the publishing productivity of economics departments in Europe," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 889-908, November.
    7. Fan Jiang & Nian Cai Liu, 2020. "New wine in old bottles? Examining institutional hierarchy in laureate mobility networks, 1900–2017," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1291-1304, November.
    8. Chang, Ying-Han & Huang, Mu-Hsuan, 2023. "Analysis of factors affecting scientific migration move and distance by academic age, migrant type, and country: Migrant researchers in the field of business and management," Journal of Informetrics, Elsevier, vol. 17(1).
    9. Maksym Polyakov & Serhiy Polyakov & Md Sayed Iftekhar, 2017. "Does academic collaboration equally benefit impact of research across topics? The case of agricultural, resource, environmental and ecological economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1385-1405, December.
    10. Cheng Peng & Zhepeng (Lionel) Li & Chaojiang Wu, 2023. "Researcher geographic mobility and publication productivity: an investigation into individual and institutional characteristics and the roles of academicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 379-406, January.
    11. Tolga Yuret, 2020. "Co-worker network: How closely are researchers who published in the top five economics journals related?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2301-2317, September.
    12. Alejandro Vega-Muñoz & Paloma Gónzalez-Gómez-del-Miño & Juan Felipe Espinosa-Cristia, 2021. "Recognizing New Trends in Brain Drain Studies in the Framework of Global Sustainability," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    13. Han, Fang & Zhang, Ruhao & Zhang, Shengtai & Yuan, Junpeng, 2024. "International mobility characteristics, effects of, and effects on elite scientists," Journal of Informetrics, Elsevier, vol. 18(1).
    14. John O’Hagan, 2021. "Top graduate programmes in economics: Historical evolution and recent evidence," Kyklos, Wiley Blackwell, vol. 74(3), pages 378-395, August.

  2. Albarrán, Pedro & Herrero, Carmen & Ruiz-Castillo, Javier & Villar, Antonio, 2017. "The Herrero-Villar approach to citation impact," Journal of Informetrics, Elsevier, vol. 11(2), pages 625-640.
    See citations under working paper version above.
  3. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Are Migrants More Productive Than Stayers? Some Evidence From A Set Of Highly Productive Academic Economists," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1308-1323, July.
    See citations under working paper version above.
  4. Pedro Albarrán & Antonio Perianes-Rodríguez & Javier Ruiz-Castillo, 2015. "Differences in citation impact across countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(3), pages 512-525, March.
    See citations under working paper version above.
  5. Pedro Albarran & Raquel Carrasco & Adelheid Holl, 2013. "Domestic transport infrastructure and firms’ export market participation," Small Business Economics, Springer, vol. 40(4), pages 879-898, May.

    Cited by:

    1. Toshihiro Okubo & Eiichi Tomiura, 2019. "Regional Variations in Exporters'Productivity Premium: Theory and Evidence," Keio-IES Discussion Paper Series 2019-002, Institute for Economics Studies, Keio University.
    2. Salimova, Dina & Ponomarev, Yuri, 2021. "Transport infrastructure and geography of regional export in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 51-75.
    3. Xu, Hangtian, 2016. "Domestic railroad infrastructure and exports: Evidence from the Silk Route," China Economic Review, Elsevier, vol. 41(C), pages 129-147.
    4. A. Kerem Cosar & Banu Demir, 2014. "Domestic Road Infrastructure and International Trade: Evidence from Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1406, Koc University-TUSIAD Economic Research Forum.
    5. Josip Kotlar & Alfredo De Massis & Hanqing Fang & Federico Frattini, 2014. "Strategic reference points in family firms," Small Business Economics, Springer, vol. 43(3), pages 597-619, October.
    6. Tsekeris, Theodore, 2017. "Domestic transport effects on regional export trade in Greece," Research in Transportation Economics, Elsevier, vol. 61(C), pages 2-14.
    7. Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2020. "Travel costs, trade, and market segmentation: Evidence from China's high‐speed railway," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1799-1825, December.
    8. Ma, Liya & Niu, Dongxiao & Sun, Weizeng, 2021. "Transportation infrastructure and entrepreneurship: Evidence from high-speed railway in China," China Economic Review, Elsevier, vol. 65(C).
    9. Yasir Khan & Taimoor Hassan & Cai Shukai & Hana Oubaih & Muhammad Nisar Khan & Jawed Kootwal & Ubaid Ur Rahman Rehimi, 2022. "The nexus between infrastructure development, economic growth, foreign direct investment, and trade: an empirical investigation from China’s regional trade data," SN Business & Economics, Springer, vol. 2(7), pages 1-31, July.
    10. Child, John & Karmowska, Joanna & Shenkar, Oded, 2022. "The role of context in SME internationalization – A review," Journal of World Business, Elsevier, vol. 57(1).
    11. Bartlomiej Rokicki & Eduardo A. Haddad & Jonathan M. Horridge & Marcin Stępniak, 2021. "Accessibility in the regional CGE framework: the effects of major transport infrastructure investments in Poland," Transportation, Springer, vol. 48(2), pages 747-772, April.
    12. Haddoud, Mohamed Yacine & Onjewu, Adah-Kole Emmanuel & Nowiński, Witold & Jones, Paul, 2021. "The determinants of SMEs’ export entry: A systematic review of the literature," Journal of Business Research, Elsevier, vol. 125(C), pages 262-278.

  6. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "High- and low-impact citation measures: Empirical applications," Journal of Informetrics, Elsevier, vol. 5(1), pages 122-145.
    See citations under working paper version above.
  7. Pedro Albarrán & Javier Ruiz-Castillo, 2011. "References made and citations received by scientific articles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 40-49, January.
    See citations under working paper version above.
  8. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 385-397, August.
    See citations under working paper version above.
  9. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "The measurement of low- and high-impact in citation distributions: Technical results," Journal of Informetrics, Elsevier, vol. 5(1), pages 48-63.
    See citations under working paper version above.
  10. Pedro Albarrán & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "Average-based versus high- and low-impact indicators for the evaluation of scientific distributions," Research Evaluation, Oxford University Press, vol. 20(4), pages 325-339, October.
    See citations under working paper version above.
  11. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2010. "A comparison of the scientific performance of the U.S. and the European union at the turn of the 21st century," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 329-344, October.

    Cited by:

    1. Olivier Gergaud & Victor Ginsburgh & Juan D. Moreno-Ternero, 2020. "Wine Ratings," Working Papers ECARES 2020-38, ULB -- Universite Libre de Bruxelles.
    2. Gergaud, Olivier & Ginsburgh, Victor & Moreno-Ternero, Juan D., 2021. "Wine Ratings: Seeking a Consensus among Tasters via Normalization, Approval, and Aggregation," Journal of Wine Economics, Cambridge University Press, vol. 16(3), pages 321-342, August.
    3. Kovac, Dejan & Scrbec, Nikol & Podobnik, Boris, 2018. "Does it payoff to research economics—A tale of citation, knowledge and economic growth in transition countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 293-305.
    4. Jürgen Janger & Agnes Kügler & Andreas Reinstaller & Fabian Unterlass, 2017. "Austria 2025 – Looking Out For the Frontier(s): Towards a New Framework For Frontier Measurement in Science, Technology and Innovation," WIFO Studies, WIFO, number 59289.
    5. Günter Krampen & Peter Weiland & Jürgen Wiesenhütter, 2015. "Citation success of different publication types: a case study on all references in psychology publications from the German-speaking countries (D–A–CH–L–L) in 2009, 2010, and 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 827-840, September.
    6. Koen Jonkers & Frédérique Sachwald, 2018. "The dual impact of ‘excellent’ research on science and innovation: the case of Europe," Science and Public Policy, Oxford University Press, vol. 45(2), pages 159-174.
    7. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Technological research in the EU is less efficient than the world average. EU research policy risks Europeans’ future," Journal of Informetrics, Elsevier, vol. 12(3), pages 718-731.
    8. Günter Krampen & Alexander Eye & Gabriel Schui, 2011. "Forecasting trends of development of psychology from a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 687-694, June.
    9. Sara Amoroso & Simone Vannuccini, 2019. "Teaming up with Large R&D Investors: Good or Bad for Knowledge Production and Diffusion?," JRC Working Papers on Corporate R&D and Innovation 2019-05, Joint Research Centre.
    10. Martin Grančay & Tomáš Dudáš & Ladislav Mura, 2022. "Revealed comparative advantages in academic publishing of “old” and “new” European Union Member States 1998–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1247-1271, March.
    11. Pin-Hua Lin & Jong-Rong Chen & Chih-Hai Yang, 2014. "Academic research resources and academic quality: a cross-country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 109-123, October.
    12. Mátyás, László & Balázsi, László & Dömötör, Erika, 2016. "Emberi tényező a gazdaságban. Összegzés a COEURE-projekt tanulmányaiból, I [The human factor in the economy. Summary of the COEURE project studies, I]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 407-430.
    13. Jürgen Janger & Klaus Nowotny, 2013. "Career Choices in Academia. WWWforEurope Working Paper No. 36," WIFO Studies, WIFO, number 46922.
    14. Seeber, Marco & Alon, Ilan & Pina, David G. & Piro, Fredrik Niclas & Seeber, Michele, 2022. "Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

  12. Pedro Albarran & Raquel Carrasco & Maite Martinez‐Granado, 2009. "Inequality for Wage Earners and Self‐Employed: Evidence from Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 491-518, August.
    See citations under working paper version above.
  13. Pedro Albarran & Orazio P. Attanasio, 2003. "Limited Commitment and Crowding out of Private Transfers: Evidence from a Randomised Experiment," Economic Journal, Royal Economic Society, vol. 113(486), pages 77-85, March.

    Cited by:

    1. Dirk Krueger & Fabrizio Perri, 2002. "Does Income Inequality Lead to Consumption Inequality? Evidence and Theory," NBER Working Papers 9202, National Bureau of Economic Research, Inc.
    2. Berg, Erlend & Blake, Michael & Morsink, Karlijn, 2022. "Risk sharing and the demand for insurance: Theory and experimental evidence from Ethiopia," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 236-256.
    3. David K Evans & Katrina Kosec, 2023. "Cash Transfers, Trust, and Inter-household Transfers: Experimental Evidence from Tanzania," The World Bank Economic Review, World Bank, vol. 37(2), pages 221-234.
    4. Pierre Dubois & Bruno Jullien & Thierry Magnac, 2008. "Formal and Informal Risk Sharing in LDCs: Theory and Empirical Evidence," Econometrica, Econometric Society, vol. 76(4), pages 679-725, July.
    5. Nikolov, Plamen & Bonci, Matthew, 2020. "Do Public Program Benefits Crowd Out Private Transfers in Developing Countries? A Critical Review of Recent Evidence," IZA Discussion Papers 13081, Institute of Labor Economics (IZA).
    6. Manuela Angelucci & Orazio Attanasio, 2009. "Oportunidades: Program Effect on Consumption, Low Participation, and Methodological Issues," Economic Development and Cultural Change, University of Chicago Press, vol. 57(3), pages 479-506, April.
    7. John List & Imran Rasul, 2010. "Field experiments in labor economics," Artefactual Field Experiments 00092, The Field Experiments Website.
    8. Orazio P. Attanasio & Guglielmo Weber, 2010. "Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy," NBER Working Papers 15756, National Bureau of Economic Research, Inc.
    9. Shoji, Masahiro, 2016. "Incentive of risk sharing and trust formation: Experimental and survey evidence from Bangladesh," MPRA Paper 71950, University Library of Munich, Germany.
    10. Bradley, Elizabeth & Chen, Xi & Tang, Gaojie, 2020. "Social security expansion and neighborhood cohesion: Evidence from community-living older adults in China," The Journal of the Economics of Ageing, Elsevier, vol. 15(C).
    11. Nikandrova, Arina & Steinbuks, Jevgenijs, 2014. "Contracting for the second best in dysfunctional electricity markets," Policy Research Working Paper Series 6955, The World Bank.
    12. Beck, Ulrik & Bjerge, Benedikte, 2017. "Pro-poor Land Transfers and the Importance of Land Abundance and Ethnicity in The Gambia," World Development, Elsevier, vol. 99(C), pages 122-140.
    13. Silvio Daidone & Sudhanshu Handa & Benjamin Davis & Mike Park & Robert D. Osei & Isaac Osei-Akoto, 2015. "Social Networks and Risk Management in Ghana’s Livelihood Empowerment Against Poverty Programme," Papers inwopa781, Innocenti Working Papers.
    14. Dan Anderberg & Karlijn Marsink, 2019. "The introduction of formal insurance and its effect on redistribution," CESifo Working Paper Series 7596, CESifo.
    15. Abhijit Banerjee & Emily Breza & Arun G Chandrasekhar & Esther Duflo & Matthew O Jackson & Cynthia Kinnan, 2024. "Changes in Social Network Structure in Response to Exposure to Formal Credit Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(3), pages 1331-1372.
    16. Tobias Broer, 2013. "The Wrong Shape of Insurance? What Cross-Sectional Distributions Tell Us about Models of Consumption Smoothing," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 107-140, October.
    17. Lin, Wanchuan & Meng, Juanjuan & Weng, Xi, 2020. "Formal insurance and informal risk sharing dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 837-863.
    18. Orazio Attanasio & Sonya Krutikova, 2020. "Consumption Insurance in Networks with Asymmetric Information," NBER Working Papers 27290, National Bureau of Economic Research, Inc.
    19. Chakraborty, Tanika & Mirkasimov, Bakhrom & Steiner, Susan, 2013. "Transfer Behaviour in Migrant Sending Communities," IZA Discussion Papers 7406, Institute of Labor Economics (IZA).
    20. Marina Pavan & Aldo Colussi, 2008. "Assessing the Impact of Public Transfers on Private Risk Sharing Arrangements. Evidence from a Randomized Experiment in Mexico," Working Papers 200807, Geary Institute, University College Dublin.
    21. Strobbe, Francesco & Miller, Candace, 2011. "Cash transfers in an epidemic context : the interaction of formal and informal support in rural Malawi," Policy Research Working Paper Series 5824, The World Bank.
    22. Ran Abramitzky, 2008. "The Limits of Equality: Insights from the Israeli Kibbutz," Discussion Papers 07-048, Stanford Institute for Economic Policy Research.
    23. Ongudi, Silas & Thiam, Djiby & Wagner, Natascha, 2023. "Public transfers and crowding-in and -out of private transfers: Experimental evidence from Kenya," World Development Perspectives, Elsevier, vol. 31(C).
    24. de Milliano, Marlous & Barrington, Clare & Angeles, Gustavo & Gbedemah, Christiana, 2021. "Crowding-out or crowding-in? Effects of LEAP 1000 unconditional cash transfer program on household and community support among women in rural Ghana," World Development, Elsevier, vol. 143(C).
    25. Jakiela, Pamela & Ozier, Owen, 2012. "Does Africa need a rotten Kin Theorem ? experimental evidence from village economies," Policy Research Working Paper Series 6085, The World Bank.
    26. Angelucci, Manuela & De Giorgi, Giacomo & Rangel, Marcos A. & Rasul, Imran, 2010. "Family networks and school enrolment: Evidence from a randomized social experiment," Journal of Public Economics, Elsevier, vol. 94(3-4), pages 197-221, April.
    27. Paal, Beatrix & Wiseman, Thomas, 2011. "Group insurance and lending with endogenous social collateral," Journal of Development Economics, Elsevier, vol. 94(1), pages 30-40, January.
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