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A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact

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Cited by:

  1. Linda Reijnhoudt & Rodrigo Costas & Ed Noyons & Katy Börner & Andrea Scharnhorst, 2014. "‘Seed + expand’: a general methodology for detecting publication oeuvres of individual researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1403-1417, November.
  2. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
  3. Claus-Christian Carbon, 2011. "The Carbon_h-Factor: Predicting Individuals' Research Impact at Early Stages of Their Career," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-7, December.
  4. Rodrigo Costas & Thed N. Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
  5. Alona Zharova & Wolfgang K. Härdle & Stefan Lessmann, 2017. "Is Scientific Performance a Function of Funds?," SFB 649 Discussion Papers SFB649DP2017-028, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  6. Marek Kwiek, 2020. "Internationalists and locals: international research collaboration in a resource-poor system," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 57-105, July.
  7. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2017. "Is scientific performance a function of funds?," SFB 649 Discussion Papers 2017-028, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  8. Ioana Alexandra Horodnic & Adriana Zaiţ, 2015. "Motivation and research productivity in a university system undergoing transition," Research Evaluation, Oxford University Press, vol. 24(3), pages 282-292.
  9. Ioana Alexandra HORODNIC, 2014. "Academic Performance: Measurement Methods Used In Socio - Economic Sciences," THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, Gheorghe Zane Institute for Economic and Social Research ( from THE ROMANIAN ACADEMY, JASSY BRANCH), vol. 23(1), pages 5-17.
  10. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2014. "Relatives in the same university faculty: nepotism or merit?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 737-749, October.
  11. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "The dispersion of research performance within and between universities as a potential indicator of the competitive intensity in higher education systems," Journal of Informetrics, Elsevier, vol. 6(2), pages 155-168.
  12. Rodrigo Costas & Thomas Franssen, 2018. "Reflections around ‘the cautionary use’ of the h-index: response to Teixeira da Silva and Dobránszki," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1125-1130, May.
  13. Rodrigo Costas & Thed N. Leeuwen & Anthony F. J. Raan, 2011. "The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 177-205, October.
  14. Panagopoulos, George & Tsatsaronis, George & Varlamis, Iraklis, 2017. "Detecting rising stars in dynamic collaborative networks," Journal of Informetrics, Elsevier, vol. 11(1), pages 198-222.
  15. 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.
  16. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2011. "Research productivity: Are higher academic ranks more productive than lower ones?," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 915-928, September.
  17. Robinson-Garcia, Nicolás & Sugimoto, Cassidy R. & Murray, Dakota & Yegros-Yegros, Alfredo & Larivière, Vincent & Costas, Rodrigo, 2019. "The many faces of mobility: Using bibliometric data to measure the movement of scientists," Journal of Informetrics, Elsevier, vol. 13(1), pages 50-63.
  18. 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.
  19. Frank Havemann & Birger Larsen, 2015. "Bibliometric indicators of young authors in astrophysics: Can later stars be predicted?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1413-1434, February.
  20. Guillaume Cabanac & Gilles Hubert & Béatrice Milard, 2015. "Academic careers in Computer Science: continuance and transience of lifetime co-authorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 135-150, January.
  21. Lucy Amez, 2012. "Citation measures at the micro level: Influence of publication age, field, and uncitedness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1459-1465, July.
  22. Vincent Larivière & Rodrigo Costas, 2016. "How Many Is Too Many? On the Relationship between Research Productivity and Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-10, September.
  23. Xingchen Li & Qiang Wu & Yuanyuan Liu, 2017. "A quantitative analysis of researcher citation personal display considering disciplinary differences and influence factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1093-1112, November.
  24. 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.
  25. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2023. "Data-driven support for policy and decision-making in university research management: A case study from Germany," European Journal of Operational Research, Elsevier, vol. 308(1), pages 353-368.
  26. Zhigang Hu & Chaomei Chen & Zeyuan Liu, 2014. "How are collaboration and productivity correlated at various career stages of scientists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1553-1564, November.
  27. Cena, Anna & Gagolewski, Marek & Mesiar, Radko, 2015. "Problems and challenges of information resources producers’ clustering," Journal of Informetrics, Elsevier, vol. 9(2), pages 273-284.
  28. Abramo, Giovanni & D'Angelo, CiriacoAndrea & Di Costa, Flavia, 2024. "The moderating role of personal characteristics of authors in the publications’ quality for quantity trade-off," Journal of Informetrics, Elsevier, vol. 18(1).
  29. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2013. "Cluster methods for assessing research performance: exploring Spanish computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 571-600, December.
  30. Peter van den Besselaar & Ulf Sandström, 2019. "Measuring researcher independence using bibliometric data: A proposal for a new performance indicator," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-20, March.
  31. Leila Tahmooresnejad & Catherine Beaudry & Andrea Schiffauerova, 2015. "The role of public funding in nanotechnology scientific production: Where Canada stands in comparison to the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 753-787, January.
  32. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
  33. Shang, Jing & Zeng, Mingbin & Zhang, Gupeng, 2022. "Investigating the mentorship effect on the academic success of young scientists: An empirical study of the 985 project universities of China," Journal of Informetrics, Elsevier, vol. 16(2).
  34. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "National-scale research performance assessment at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 347-364, February.
  35. Sixto-Costoya Andrea & Robinson-Garcia Nicolas & Leeuwen Thed & Costas Rodrigo, 2021. "Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7149-7165, August.
  36. Balázs Győrffy & Gyöngyi Csuka & Péter Herman & Ádám Török, 2020. "Is there a golden age in publication activity?—an analysis of age-related scholarly performance across all scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1081-1097, August.
  37. Tóth, Tamás & Demeter, Márton & Csuhai, Sándor & Major, Zsolt Balázs, 2024. "When career-boosting is on the line: Equity and inequality in grant evaluation, productivity, and the educational backgrounds of Marie Skłodowska-Curie Actions individual fellows in social sciences an," Journal of Informetrics, Elsevier, vol. 18(2).
  38. Nabil Amara & Réjean Landry & Norrin Halilem, 2015. "What can university administrators do to increase the publication and citation scores of their faculty members?," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 489-530, May.
  39. Daiji Kawaguchi & Ayako Kondo & Keiji Saito, 2016. "Researchers’ career transitions over the life cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1435-1454, December.
  40. Xiaozan Lyu & Rodrigo Costas, 2021. "Studying the characteristics of scientific communities using individual-level bibliometrics: the case of Big Data research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6965-6987, August.
  41. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
  42. Negin Salimi, 2017. "Quality assessment of scientific outputs using the BWM," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 195-213, July.
  43. Giovanni Abramo & Ciriaco Andrea D’Angelo & Gianluca Murgia, 2016. "The combined effects of age and seniority on research performance of full professors," Science and Public Policy, Oxford University Press, vol. 43(3), pages 301-319.
  44. Kirstin R W Matthews & Kara M Calhoun & Nathan Lo & Vivian Ho, 2011. "The Aging of Biomedical Research in the United States," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-6, December.
  45. Mike Thelwall & Nabeil Maflahi, 2020. "Academic collaboration rates and citation associations vary substantially between countries and fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(8), pages 968-978, August.
  46. Ruiz-Castillo, Javier & Costas, Rodrigo, 2014. "The skewness of scientific productivity," Journal of Informetrics, Elsevier, vol. 8(4), pages 917-934.
  47. Díaz-Faes, Adrián A. & Costas, Rodrigo & Galindo, M. Purificación & Bordons, María, 2015. "Unravelling the performance of individual scholars: Use of Canonical Biplot analysis to explore the performance of scientists by academic rank and scientific field," Journal of Informetrics, Elsevier, vol. 9(4), pages 722-733.
  48. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2018. "The effects of gender, age and academic rank on research diversification," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 373-387, February.
  49. Ricardo Leiva & Ignacio Ferrero & Reyes Calderón, 2016. "Corporate Reputation in the Business Ethics Field: Its Relation with Corporate Identity, Corporate Image, and Corporate Social Responsibility," Corporate Reputation Review, Palgrave Macmillan, vol. 19(4), pages 299-315, November.
  50. Chi-Yen Yin & Hsiao-Hsin Chang, 2022. "What Is the Link between Strategic Innovation and Organizational Sustainability? Historical Review and Bibliometric Analytics," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
  51. Ronald Inglehart & Tatiana Karabchuk & Stanislav Moiseev & Marina Nikitina, 2013. "International Research Laboratories in Russia: Factors Underlying Scientists’ Satisfaction with their Work," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(4), pages 44-59.
  52. Johann Jacob & Moktar Lamari, 2012. "Factors Influencing Research Performance in Higher Education: An Empirical Investigation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(3), pages 40-49.
  53. , Aisdl, 2021. "Top economics universities and research institutions in Vietnam: evidence from the SSHPA dataset," OSF Preprints xvnkj, Center for Open Science.
  54. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
  55. Andersen, Jens Peter & Nielsen, Mathias Wullum, 2018. "Google Scholar and Web of Science: Examining gender differences in citation coverage across five scientific disciplines," Journal of Informetrics, Elsevier, vol. 12(3), pages 950-959.
  56. Jonas Lindahl & Cristian Colliander & Rickard Danell, 2020. "Early career performance and its correlation with gender and publication output during doctoral education," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 309-330, January.
  57. Lindahl, Jonas, 2023. "Conscientiousness predicts doctoral students’ research productivity," Journal of Informetrics, Elsevier, vol. 17(1).
  58. Andersen, Jens Peter, 2017. "An empirical and theoretical critique of the Euclidean index," Journal of Informetrics, Elsevier, vol. 11(2), pages 455-465.
  59. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
  60. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
  61. 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".
  62. Rørstad, Kristoffer & Aksnes, Dag W., 2015. "Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff," Journal of Informetrics, Elsevier, vol. 9(2), pages 317-333.
  63. João M. Santos & Hugo Horta, 2015. "The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 381-406, July.
  64. Walter Pérez Villa & Amaya Pérez-Ezcurdia & Miguel Angel Vigil Berrocal, 2022. "Tacit Contributions and Roles of Senior Researchers: Experiences of a Multinational Company," Administrative Sciences, MDPI, vol. 12(4), pages 1-18, December.
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