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On the calculation of percentile-based bibliometric indicators

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Cited by:

  1. 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.
  2. Bastian Krieger & Maikel Pellens & Knut Blind & Sonia Gruber & Torben Schubert, 2021. "Are firms withdrawing from basic research? An analysis of firm-level publication behaviour in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9677-9698, December.
  3. Lutz Bornmann & Rüdiger Mutz & Robin Haunschild & Felix Moya-Anegon & Mirko Almeida Madeira Clemente & Moritz Stefaner, 2021. "Mapping the impact of papers on various status groups in excellencemapping.net: a new release of the excellence mapping tool based on citation and reader scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9305-9331, November.
  4. Nicolas Carayol, 2016. "The Right Job and the Job Right: Novelty, Impact and Journal Stratification in Science," Post-Print hal-02274661, HAL.
  5. Rodríguez-Navarro, Alonso & Brito, Ricardo, 2018. "Double rank analysis for research assessment," Journal of Informetrics, Elsevier, vol. 12(1), pages 31-41.
  6. Helmich, Patricia & Frietsch, Rainer & Frietsch, Rainer, 2018. "Performance and Structures of the German Science System 2017," Studien zum deutschen Innovationssystem 5-2018, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  7. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann & Yousif Ahmed Al Wajih, 2023. "Saudi Arabia research: academic insights and trend analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5595-5627, October.
  8. 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.
  9. Pislyakov, Vladimir, 2022. "On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis," Journal of Informetrics, Elsevier, vol. 16(4).
  10. Bornmann, Lutz & Leydesdorff, Loet & Wang, Jian, 2013. "Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P1," Journal of Informetrics, Elsevier, vol. 7(4), pages 933-944.
  11. Stahlschmidt, Stephan & Stephen, Dimity & Hinze, Sybille, 2019. "Performance and structures of the German science system," Studien zum deutschen Innovationssystem 5-2019, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  12. Lucília Cardoso & Rui Silva & Giovana Goretti Feijó de Almeida & Luís Lima Santos, 2020. "A Bibliometric Model to Analyze Country Research Performance: SciVal Topic Prominence Approach in Tourism, Leisure and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-26, November.
  13. Lutz Bornmann & Klaus Wohlrabe, 2019. "Normalisation of citation impact in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 841-884, August.
  14. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
  15. Pech, Gerson & Delgado, Catarina, 2021. "Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based app," Journal of Informetrics, Elsevier, vol. 15(3).
  16. Perianes-Rodríguez, Antonio, 2016. "The impact of classification systems in the evaluation of the research performance of the Leiden Ranking Universities," UC3M Working papers. Economics we1603, Universidad Carlos III de Madrid. Departamento de Economía.
  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. Loet Leydesdorff & Lutz Bornmann & Jonathan Adams, 2019. "The integrated impact indicator revisited (I3*): a non-parametric alternative to the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1669-1694, June.
  19. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
  20. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2019. "Globalised vs averaged: Bias and ranking performance on the author level," Journal of Informetrics, Elsevier, vol. 13(1), pages 299-313.
  21. Mund, Carolin & Frietsch, Rainer & Neuhäusler, Peter, 2015. "Performance and Structures of the German Science System 2014," Studien zum deutschen Innovationssystem 7-2015, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  22. Tausch, Arno, 2018. "The Market Power of Global Scientific Publishing Companies in the Age of Globalization. An Analysis Based on the OCLC Worldcat," MPRA Paper 87442, University Library of Munich, Germany.
  23. Thelwall, Mike, 2017. "Three practical field normalised alternative indicator formulae for research evaluation," Journal of Informetrics, Elsevier, vol. 11(1), pages 128-151.
  24. Mike Thelwall, 2019. "The influence of highly cited papers on field normalised indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 519-537, February.
  25. Valeria Aman, 2016. "How collaboration impacts citation flows within the German science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2195-2216, December.
  26. Isabel Basson & Jaco P. Blanckenberg & Heidi Prozesky, 2021. "Do open access journal articles experience a citation advantage? Results and methodological reflections of an application of multiple measures to an analysis by WoS subject areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 459-484, January.
  27. Manta Eduard Mihai & Davidescu Adriana Ana Maria & Geambasu Maria Cristina & Florescu Margareta Stela, 2023. "Exploring the research area of direct taxation. An empirical analysis based on bibliometric analysis results," Management & Marketing, Sciendo, vol. 18(s1), pages 355-383, December.
  28. Qi Wang & Tobias Jeppsson, 2022. "Identifying benchmark units for research management and evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7557-7574, December.
  29. Dag W. Aksnes & Liv Langfeldt & Paul Wouters, 2019. "Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories," SAGE Open, , vol. 9(1), pages 21582440198, February.
  30. Waltman, Ludo & van Eck, Nees Jan & Wouters, Paul, 2013. "Counting publications and citations: Is more always better?," Journal of Informetrics, Elsevier, vol. 7(3), pages 635-641.
  31. Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
  32. Kroll, Henning & Helmich, Patricia & Frietsch, Rainer & Neuhäusler, Peter, 2019. "Förderstrukturen in der Grundlagenforschung basierend auf Publikationsoutputs mit Bezug zu DFG-Förderung und Förderung vergleichbarer Förderagenturen in vier Vergleichsländern," Studien zum deutschen Innovationssystem 8-2019, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  33. Sandström, Ulf & Van den Besselaar, Peter, 2018. "Funding, evaluation, and the performance of national research systems," Journal of Informetrics, Elsevier, vol. 12(1), pages 365-384.
  34. 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.
  35. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2016. "Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully," Journal of Informetrics, Elsevier, vol. 10(1), pages 312-327.
  36. Fairclough, Ruth & Thelwall, Mike, 2015. "More precise methods for national research citation impact comparisons," Journal of Informetrics, Elsevier, vol. 9(4), pages 895-906.
  37. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
  38. 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.
  39. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
  40. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
  41. Stephen, Dimity & Stahlschmidt, Stephan & Hinze, Sybille, 2020. "Performance and structures of the German science system 2020," Studien zum deutschen Innovationssystem 5-2020, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  42. Ashraf Uddin & Jaideep Bhoosreddy & Marisha Tiwari & Vivek Kumar Singh, 2016. "A Sciento-text framework to characterize research strength of institutions at fine-grained thematic area level," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1135-1150, March.
  43. Cimini, Giulio & Zaccaria, Andrea & Gabrielli, Andrea, 2016. "Investigating the interplay between fundamentals of national research systems: Performance, investments and international collaborations," Journal of Informetrics, Elsevier, vol. 10(1), pages 200-211.
  44. Tausch, Arno, 2015. "Die Buchpublikationen der Nobelpreis-Ökonomen und die führenden Buchverlage der Disziplin. Eine bibliometrische Analyse [The book publications of the Nobel-Prize economists and the leading book pub," MPRA Paper 67224, University Library of Munich, Germany.
  45. Bornmann, Lutz & Ganser, Christian & Tekles, Alexander, 2022. "Simulation of the h index use at university departments within the bibliometrics-based heuristics framework: Can the indicator be used to compare individual researchers?," Journal of Informetrics, Elsevier, vol. 16(1).
  46. Chen, Shiji & Arsenault, Clément & Larivière, Vincent, 2015. "Are top-cited papers more interdisciplinary?," Journal of Informetrics, Elsevier, vol. 9(4), pages 1034-1046.
  47. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2018. "How to evaluate rankings of academic entities using test data," Journal of Informetrics, Elsevier, vol. 12(3), pages 631-655.
  48. Gabriela Grosseck & Laurențiu Gabriel Țîru & Ramona Alice Bran, 2019. "Education for Sustainable Development: Evolution and Perspectives: A Bibliometric Review of Research, 1992–2018," Sustainability, MDPI, vol. 11(21), pages 1-35, November.
  49. Dunaiski, Marcel & Geldenhuys, Jaco & Visser, Willem, 2018. "Author ranking evaluation at scale," Journal of Informetrics, Elsevier, vol. 12(3), pages 679-702.
  50. David Fleming & Ilan Noy & Jacob Pastor-Paz & Sally Owen, 2018. "Public insurance and climate change (part one): Past trends in weather-related insurance in New Zealand," Working Papers 18_09, Motu Economic and Public Policy Research.
  51. Waltman, Ludo & van Eck, Nees Jan, 2015. "Field-normalized citation impact indicators and the choice of an appropriate counting method," Journal of Informetrics, Elsevier, vol. 9(4), pages 872-894.
  52. Lorna Wildgaard & Jesper W. Schneider & Birger Larsen, 2014. "A review of the characteristics of 108 author-level bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 125-158, October.
  53. Stephen, Dimity & Stahlschmidt, Stephan, 2022. "Performance and structures of the German science system 2022," Studien zum deutschen Innovationssystem 5-2022, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  54. Claveau, François, 2016. "There should not be any mystery: A comment on sampling issues in bibliometrics," Journal of Informetrics, Elsevier, vol. 10(4), pages 1233-1240.
  55. 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.
  56. Marlo M. Vernon & Frances M. Yang, 2023. "Use of Latent Profile Analysis to Model the Translation of University Research into Health Practice and Policy: Exploration of Proposed Metrics," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(7), pages 1058-1070, November.
  57. Gruber, Sonia & Frietsch, Rainer & Neuhäusler, Peter, 2016. "Performance and Structures of the German Science System 2015," Studien zum deutschen Innovationssystem 5-2016, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  58. Lorna Wildgaard, 2015. "A comparison of 17 author-level bibliometric indicators for researchers in Astronomy, Environmental Science, Philosophy and Public Health in Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 873-906, September.
  59. 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.
  60. Thelwall, Mike, 2016. "Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions," Journal of Informetrics, Elsevier, vol. 10(2), pages 622-633.
  61. Lutz Bornmann & Richard Williams, 2020. "An evaluation of percentile measures of citation impact, and a proposal for making them better," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1457-1478, August.
  62. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
  63. Sven E. Hug & Michael Ochsner & Martin P. Brändle, 2017. "Citation analysis with microsoft academic," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 371-378, April.
  64. 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.
  65. Mariana-Daniela González-Zamar & Emilio Abad-Segura, 2021. "Emotional Creativity in Art Education: An Exploratory Analysis and Research Trends," IJERPH, MDPI, vol. 18(12), pages 1-20, June.
  66. Frietsch, Rainer & Helmich, Patricia & Neuhäusler, Peter, 2017. "Performance and Structures of the German Science System 2016," Studien zum deutschen Innovationssystem 5-2017, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  67. Gerson Pech & Catarina Delgado, 2020. "Assessing the publication impact using citation data from both Scopus and WoS databases: an approach validated in 15 research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 909-924, November.
  68. Lutz Bornmann & Werner Marx & Andreas Barth, 2013. "The Normalization of Citation Counts Based on Classification Systems," Publications, MDPI, vol. 1(2), pages 1-9, August.
  69. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
  70. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.
  71. Stephen, Dimity & Stahlschmidt, Stephan, 2021. "Performance and structures of the German science system 2021," Studien zum deutschen Innovationssystem 5-2021, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
  72. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
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