IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v117y2018i3d10.1007_s11192-018-2928-y.html
   My bibliography  Save this article

The hierarchical status of international academic awards in social sciences

Author

Listed:
  • Fan Jiang

    (Shanghai Jiao Tong University)

  • Niancai Liu

    (Shanghai Jiao Tong University)

Abstract

International academic awards are not only compelling signs of personal academic excellence, but also play a significant role in evaluating the performance of institutions and countries. However, limited literature about awards in social sciences means that many major international academic awards are still unrecognized. Here we collect 180 international academic awards in eight subjects and gauge their relative reputations through online surveys. Moreover, we visualize the awards network based on the relative reputation scores and the number of co-awardees among them by using Gephi software. Finally, we adopt a statistical approach to analyze the structure of the awards network and find that the co-awardee frequencies follow a power-law distribution, which indicates that the awards network is a scale-free network. Our result suggests that a hierarchical status exists among international academic awards in social sciences, which may help us enhance the understanding of the Matthew effect in the academic awards system.

Suggested Citation

  • Fan Jiang & Niancai Liu, 2018. "The hierarchical status of international academic awards in social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2091-2115, December.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2928-y
    DOI: 10.1007/s11192-018-2928-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2928-y
    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/s11192-018-2928-y?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. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    2. Leonardo Costa Ribeiro & Márcia Siqueira Rapini & Leandro Alves Silva & Eduardo Motta Albuquerque, 2018. "Growth patterns of the network of international collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 159-179, January.
    3. Jinseok Kim & Liang Tao & Seok-Hyoung Lee & Jana Diesner, 2016. "Evolution and structure of scientific co-publishing network in Korea between 1948–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 27-41, April.
    4. 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.
    5. Giulio Cainelli & Mario A. Maggioni & T. Erika Uberti & Annunziata Felice, 2015. "The strength of strong ties: How co-authorship affect productivity of academic economists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 673-699, January.
    6. Franklin G. Mixon & Kamal P. Updahyaya, 2011. "From London to the Continent: Ranking European Economics Departments on the Basis of Prestigious Medals and Awards," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 14(2), pages 119-126, Winter.
    7. Amin Mazloumian & Young-Ho Eom & Dirk Helbing & Sergi Lozano & Santo Fortunato, 2011. "How Citation Boosts Promote Scientific Paradigm Shifts and Nobel Prizes," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-6, May.
    8. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    9. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2017. "The scaling relationship between degree centrality of countries and their citation-based performance on Management Information Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1285-1299, September.
    10. M. Goldstein & S. Morris & G. Yen, 2004. "Problems with fitting to the power-law distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 41(2), pages 255-258, September.
    11. Giovanni Abramo & Ciriaco Andrea D’Angelo & Alessandro Caprasecca, 2009. "The contribution of star scientists to overall sex differences in research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 137-156, October.
    12. Ding, Ying, 2011. "Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks," Journal of Informetrics, Elsevier, vol. 5(1), pages 187-203.
    13. Gad Yair & Nofar Gueta & Nitza Davidovitch, 2017. "The law of limited excellence: publication productivity of Israel Prize laureates in the life and exact sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 299-311, October.
    14. Robert D. Shelton & Geoffrey M. Holdridge, 2004. "The US-EU race for leadership of science and technology: Qualitative and quantitative indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 353-363, August.
    15. Juntao Zheng & Niancai Liu, 2015. "Mapping of important international academic awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 763-791, September.
    16. Guillermo Armando Ronda-Pupo & Thong Pham, 2018. "The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 363-383, July.
    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. Gad Yair & Keith Goldstein, 2020. "The Annus Mirabilis paper: years of peak productivity in scientific careers," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 887-902, August.
    2. 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.
    3. Betancourt, Nathan & Jochem, Torsten & Otner, Sarah M.G., 2023. "Standing on the shoulders of giants: How star scientists influence their coauthors," Research Policy, Elsevier, vol. 52(1).

    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. Gad Yair & Nofar Gueta & Nitza Davidovitch, 2017. "The law of limited excellence: publication productivity of Israel Prize laureates in the life and exact sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 299-311, October.
    2. Andreas Thor & Lutz Bornmann & Werner Marx & Rüdiger Mutz, 2018. "Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 591-608, July.
    3. 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.
    4. Gad Yair & Keith Goldstein, 2020. "The Annus Mirabilis paper: years of peak productivity in scientific careers," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 887-902, August.
    5. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    6. Gad Yair & Keith Goldstein & Nir Rotem & Anthony J. Olejniczak, 2022. "The three cultures in American science: publication productivity in physics, history and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 2967-2980, June.
    7. Klabunde, Anna, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 471, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. 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.
    9. 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.
    10. Fenner, Trevor & Levene, Mark & Loizou, George, 2005. "A stochastic evolutionary model exhibiting power-law behaviour with an exponential cutoff," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 641-656.
    11. Thomas Heinze & Joel Emanuel Fuchs, 2022. "National and organizational patterns of Nobel laureate careers in physiology/medicine, physics, and chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7273-7288, December.
    12. Yu-Wei Chang & Dar-Zen Chen & Mu-Hsuan Huang, 2020. "Discovering types of research performance of scientists with significant contributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1529-1552, August.
    13. 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.
    14. 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.
    15. Rodrigo Dorantes-Gilardi & Aurora A. Ramírez-Álvarez & Diana Terrazas-Santamaría, 2021. "Is there a differentiated gender effect of collaboration with supercited authors? Evidence from early-career economists," Serie documentos de trabajo del Centro de Estudios Económicos 2021-05, El Colegio de México, Centro de Estudios Económicos.
    16. Maor Weinberger & Maayan Zhitomirsky-Geffet, 2021. "Diversity of success: measuring the scholarly performance diversity of tenured professors in the Israeli academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2931-2970, April.
    17. Bo Liu & Wei Song & Qian Sun, 2022. "Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-30, November.
    18. Yunxue Cui & Yongzhen Wang & Xiaozhong Liu & Xianwen Wang & Xuhong Zhang, 2023. "Multidimensional scholarly citations: Characterizing and understanding scholars' citation behaviors," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 115-127, January.
    19. Paul Sheridan & Yuichi Yagahara & Hidetoshi Shimodaira, 2008. "A preferential attachment model with Poisson growth for scale-free networks," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(4), pages 747-761, December.
    20. Mark Bukowski & Sandra Geisler & Thomas Schmitz-Rode & Robert Farkas, 2020. "Feasibility of activity-based expert profiling using text mining of scientific publications and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 579-620, May.

    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:117:y:2018:i:3:d:10.1007_s11192-018-2928-y. 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.