IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v118y2019i2d10.1007_s11192-018-2975-4.html
   My bibliography  Save this article

Fame in the sciences: a culturomics approach

Author

Listed:
  • Ho Fai Chan

    (Queensland University of Technology)

  • Franklin G. Mixon

    (Columbus State University)

  • Benno Torgler

    (Queensland University of Technology)

Abstract

Although scientists, like many other professionals, aspire to fame and recognition, research in the emergent field of fame and celebrity has as yet neglected to explore their fame trajectories. This study therefore uses the frequency with which scientists’ names appear in English language books between 1800 and 2000 to trace the fame of a large number of eminent scholars from different fields. The analysis suggests that, on average, fame grows substantially between the approximate ages of 30 and 50, at which point its growth slows before peaking at around 70. Beyond this point, the growth of fame is more volatile, although we observe no clear decreasing trend. In fact, fame grows again after scientists’ death, but with the fame of those born in the twentieth century exceeding that of their nineteenth century counterparts.

Suggested Citation

  • Ho Fai Chan & Franklin G. Mixon & Benno Torgler, 2019. "Fame in the sciences: a culturomics approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 605-615, February.
  • Handle: RePEc:spr:scient:v:118:y:2019:i:2:d:10.1007_s11192-018-2975-4
    DOI: 10.1007/s11192-018-2975-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2975-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-018-2975-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ho Fai Chan & Benno Torgler, 2012. "Econometric Fellows and Nobel Laureates in Economics," Economics Bulletin, AccessEcon, vol. 32(4), pages 3365-3377.
    2. Ho Fai Chan & Ali Sina Önder & Benno Torgler, 2016. "The first cut is the deepest: repeated interactions of coauthorship and academic productivity in Nobel laureate teams," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 509-524, February.
    3. George J. Borjas & Kirk B. Doran, 2015. "Prizes and Productivity: How Winning the Fields Medal Affects Scientific Output," Journal of Human Resources, University of Wisconsin Press, vol. 50(3), pages 728-758.
    4. Franklin G. Mixon & Benno Torgler & Kamal P. Upadhyaya, 2017. "Scholarly impact and the timing of major awards in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1837-1852, September.
    5. Bruno S Frey & Jana Gallus, 2016. "Honors: A rational choice analysis of award bestowals," Rationality and Society, , vol. 28(3), pages 255-269, August.
    6. Ho Fai Chan & Ali Sina Önder & Benno Torgler, 2015. "Do Nobel laureates change their patterns of collaboration following prize reception?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2215-2235, December.
    7. Feldman, Maryann P & Kelley, Maryellen R, 2003. "Leveraging Research and Development: Assessing the Impact of the U.S. Advanced Technology Program," Small Business Economics, Springer, vol. 20(2), pages 153-165, March.
    8. Ho Fai Chan & Laura Gleeson & Benno Torgler, 2014. "Awards before and after the Nobel Prize: A Matthew effect and/or a ticket to one’s own funeral?," Research Evaluation, Oxford University Press, vol. 23(3), pages 210-220.
    9. Chan, Ho Fai & Frey, Bruno S. & Gallus, Jana & Torgler, Benno, 2014. "Academic honors and performance," Labour Economics, Elsevier, vol. 31(C), pages 188-204.
    10. Ho Fai Chan & Benno Torgler, 2015. "The implications of educational and methodological background for the career success of Nobel laureates: an investigation of major awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 847-863, January.
    11. Ho F. Chan & Franklin G. Mixon & Benno Torgler, 2018. "Relation of early career performance and recognition to the probability of winning the Nobel Prize in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1069-1086, March.
    12. Ho Fai Chan & Benno Torgler, 2015. "Do great minds appear in batches?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 475-488, August.
    13. Bruno S. Frey & Jana Gallus, 2017. "Towards An Economics Of Awards," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 190-200, February.
    14. João R. Faria & Franklin G. Mixon & Kamal P. Upadhyaya, 2016. "Human capital, collegiality, and stardom in economics: empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 917-943, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ho Fai Chan & Benno Torgler, 2020. "Gender differences in performance of top cited scientists by field and country," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2421-2447, December.
    2. Bruno S. Frey & Anthony Gullo, 2020. "Sic transit gloria mundi: What remains of famous economists after their deaths?," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 283-298, April.
    3. Jaime A. Teixeira da Silva, 2021. "The Matthew effect impacts science and academic publishing by preferentially amplifying citations, metrics and status," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5373-5377, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ho Fai Chan & Benno Torgler, 2020. "Gender differences in performance of top cited scientists by field and country," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2421-2447, December.
    2. Franklin G. Mixon & Benno Torgler & Kamal P. Upadhyaya, 2017. "Scholarly impact and the timing of major awards in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1837-1852, September.
    3. Ho F. Chan & Franklin G. Mixon & Benno Torgler, 2018. "Relation of early career performance and recognition to the probability of winning the Nobel Prize in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1069-1086, March.
    4. Iván Aranzales & Ho Fai Chan & Benno Torgler, 2023. "Finally! How time lapse in Nobel Prize reception affects emotionality in the Nobel Prize banquet speeches," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4089-4115, July.
    5. Franklin G. Mixon & Benno Torgler & Kamal P. Upadhyaya, 2022. "Committees or Markets? An Exploratory Analysis of Best Paper Awards in Economics," Economies, MDPI, vol. 10(5), pages 1-15, May.
    6. Ho Fai Chan & Franklin G. Mixon & Jayanta Sarkar & Benno Torgler, 2022. "Recognition and longevity: an examination of award timing and lifespan in Nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3629-3659, June.
    7. Elisabeth Maria Schlagberger & Lutz Bornmann & Johann Bauer, 2016. "At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 723-767, November.
    8. Bruno S. Frey & Anthony Gullo, 2020. "Sic transit gloria mundi: What remains of famous economists after their deaths?," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 283-298, April.
    9. Jingda Ding & Yifan Chen & Chao Liu, 2023. "Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5247-5275, September.
    10. R. Bjørk, 2019. "The age at which Noble Prize research is conducted," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 931-939, May.
    11. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
    12. Weilong Bi & Ho Fai Chan & Benno Torgler, 2019. "Self-esteem, self-symbolizing, and academic recognition: behavioral evidence from curricula vitae," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 495-525, April.
    13. Wen Lou & Jiangen He & Lingxin Zhang & Zhijie Zhu & Yongjun Zhu, 2023. "Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5767-5790, October.
    14. Ho Fai Chan & Ali Sina Önder & Benno Torgler, 2015. "Do Nobel laureates change their patterns of collaboration following prize reception?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2215-2235, December.
    15. Tol, Richard S.J., 2023. "Nobel begets Nobel in economics," Journal of Informetrics, Elsevier, vol. 17(4).
    16. John H. Huston & Roger W. Spencer, 2018. "Using Network Centrality to Inform Our View of Nobel Economists," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 44(4), pages 616-628, September.
    17. R. Bjørk, 2020. "The journals in physics that publish Nobel Prize research," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 817-823, February.
    18. Chan, Ho Fai & Bodiuzzman, Sohel Md & Torgler, Benno, 2020. "The power of social cues in the battle for attention: Evidence from an online platform for scholarly commentary," Journal of Informetrics, Elsevier, vol. 14(4).
    19. Thomas Heinze & Arlette Jappe & David Pithan, 2019. "From North American hegemony to global competition for scientific leadership? Insights from the Nobel population," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-14, April.
    20. John P A Ioannidis & Ioana-Alina Cristea & Kevin W Boyack, 2020. "Work honored by Nobel prizes clusters heavily in a few scientific fields," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-11, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:118:y:2019:i:2:d:10.1007_s11192-018-2975-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.