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Is there a golden age in publication activity?—an analysis of age-related scholarly performance across all scientific disciplines

Author

Listed:
  • Balázs Győrffy

    (Semmelweis University
    Institute of Enzymology)

  • Gyöngyi Csuka

    (University of Pannonia)

  • Péter Herman

    (Semmelweis University
    Institute of Enzymology)

  • Ádám Török

    (University of Pannonia
    Budapest University of Technology and Economics)

Abstract

We examined whether the publication characteristics of various scientific disciplines exhibit age-related trends. Our analysis was based on two large data sets comprising all major scientific disciplines. Citation data for European Research Council grant holders (ERC, n = 756) were obtained from Google Scholar. Publication data for Hungarian researchers (HUN, n = 2469) were obtained from the Hungarian Scientific Work Archive. The evaluated performance parameters include the number of citations received and the number of high quality first/last author papers published in the last five years. We designated the time between maximum growth and the achieved maximal annual value of total citations as the Golden Age of a researcher. Regarding citation growth, the mean age at the highest growth was 41.75 and 41.53 years for ERC grantees and Hungarian researchers, respectively. Each discipline had different values, with mathematics (38.5 years, ERC) and biology (34.7 years, HUN) having the youngest mean age of highest citation growth and agriculture (45.2 years, ERC) and language sciences (49.9 years, HUN) having the oldest mean age. The maximal growth of publications occurred at 44.5 years, with physics starting first (40.5 years, HUN) and language sciences as last (51.4 years, HUN). Most academic careers require decades to reach their peak and the length of the period of maximum performance varies across disciplines. The most creative time period is rising and is currently in the second half of the forties. Identifying the Golden Age in diverse research careers may be of substantial help in the distribution of grants and tenure positions.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:2:d:10.1007_s11192-020-03501-w
    DOI: 10.1007/s11192-020-03501-w
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    References listed on IDEAS

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    1. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    2. Yves Gingras & Vincent Larivière & Benoît Macaluso & Jean-Pierre Robitaille, 2008. "The Effects of Aging on Researchers' Publication and Citation Patterns," PLOS ONE, Public Library of Science, vol. 3(12), pages 1-8, December.
    3. James Hartley, 2019. "Some reflections on being cited 10,000 times," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 375-381, January.
    4. Bernard Wallner & Martin Fieder & Karoline Iber, 2003. "Age profile, personnel costs and scientific productivity at the University of Vienna," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 143-153, September.
    5. Cassidy R. Sugimoto & Thomas J. Sugimoto & Andrew Tsou & Staša Milojević & Vincent Larivière, 2016. "Age stratification and cohort effects in scholarly communication: a study of social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 997-1016, November.
    6. 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.
    7. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    8. Alberto Martín-Martín & Enrique Orduna-Malea & Emilio Delgado López-Cózar, 2018. "Coverage of highly-cited documents in Google Scholar, Web of Science, and Scopus: a multidisciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2175-2188, September.
    9. Frederik T. Verleysen & Truyken L. B. Ossenblok, 2017. "Profiles of monograph authors in the social sciences and humanities: an analysis of productivity, career stage, co-authorship, disciplinary affiliation and gender, based on a regional bibliographic da," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1673-1686, June.
    10. Michael Gusenbauer, 2019. "Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 177-214, January.
    11. 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.
    12. Andrea Bonaccorsi & Cinzia Daraio, 2003. "Age effects in scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 49-90, September.
    13. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2019. "Do the best papers have the highest probability of being cited?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 885-890, March.
    14. Harlley Lima & Thiago H. P. Silva & Mirella M. Moro & Rodrygo L. T. Santos & Wagner Meira & Alberto H. F. Laender, 2015. "Assessing the profile of top Brazilian computer science researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 879-896, June.
    15. Lu Liu & Yang Wang & Roberta Sinatra & C. Lee Giles & Chaoming Song & Dashun Wang, 2018. "Hot streaks in artistic, cultural, and scientific careers," Nature, Nature, vol. 559(7714), pages 396-399, July.
    16. 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.
    17. Balázs Győrffy & Andrea Magda Nagy & Péter Herman & Ádám Török, 2018. "Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 409-426, October.
    18. Aliakbar Akbaritabar & Niccolò Casnici & Flaminio Squazzoni, 2018. "The conundrum of research productivity: a study on sociologists in Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 859-882, March.
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    Cited by:

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    3. Ao, Weiyi & Lyu, Dongqing & Ruan, Xuanmin & Li, Jiang & Cheng, Ying, 2023. "Scientific creativity patterns in scholars’ academic careers: Evidence from PubMed," Journal of Informetrics, Elsevier, vol. 17(4).
    4. Zoltán Krajcsák, 2021. "Researcher Performance in Scopus Articles ( RPSA ) as a New Scientometric Model of Scientific Output: Tested in Business Area of V4 Countries," Publications, MDPI, vol. 9(4), pages 1-23, October.

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