IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v128y2023i5d10.1007_s11192-023-04698-2.html
   My bibliography  Save this article

The modified repeat rate described within a thermodynamic framework

Author

Listed:
  • Gangan Prathap

    (APJ Abdul Kalam Technological University)

  • Ronald Rousseau

    (KU Leuven, MSI, Facultair Onderzoekscentrum ECOOM
    University of Antwerp)

Abstract

Derek J. de Solla Price viewed science as a complex system and anticipated that the science of science can be developed via an analogy to thermodynamics. The main point of this article is to show a direct equivalence between a thermodynamic framework and the classical theory of evenness. It illustrates how thermodynamically inspired terms can lead to the measures used to quantify diversity (or lack thereof), balance, evenness, consistency, or concentration. A real-world example based on intersectional inequalities in science is used as an illustration.

Suggested Citation

  • Gangan Prathap & Ronald Rousseau, 2023. "The modified repeat rate described within a thermodynamic framework," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3185-3195, May.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:5:d:10.1007_s11192-023-04698-2
    DOI: 10.1007/s11192-023-04698-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-023-04698-2
    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/s11192-023-04698-2?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. Ronald Rousseau & Lin Zhang & Gunnar Sivertsen, 2023. "Using the weighted Lorenz curve to represent balance in collaborations: the BIC indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 609-622, January.
    2. Gangan Prathap, 2011. "The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 515-524, June.
    3. Gangan Prathap, 2011. "A thermodynamic explanation for the Glänzel–Schubert model for the h‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(5), pages 992-994, May.
    4. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    5. Ronald Rousseau & Lin Zhang & Gunnar Sivertsen, 2023. "Correction: Using the weighted Lorenz curve to represent balance in collaborations: the BIC indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4163-4164, July.
    6. Gangan Prathap, 2011. "A thermodynamic explanation for the Glänzel–Schubert model for the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(5), pages 992-994, May.
    7. Gangan Prathap, 2014. "Quantity, quality, and consistency as bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(1), pages 214-214, January.
    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. Guoyang Rong & Changling Li & Zhijian Zhang & Shuaipu Chen & Yuxing Qian, 2024. "Investigating the application of work–energy metaphor in interdisciplinary citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3573-3591, June.
    2. Bertoli-Barsotti, Lucio & Gagolewski, Marek & Siudem, Grzegorz & Żogała-Siudem, Barbara, 2024. "Gini-stable Lorenz curves and their relation to the generalised Pareto distribution," Journal of Informetrics, Elsevier, vol. 18(2).

    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. Guoyang Rong & Changling Li & Zhijian Zhang & Shuaipu Chen & Yuxing Qian, 2024. "Investigating the application of work–energy metaphor in interdisciplinary citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3573-3591, June.
    2. Gangan Prathap, 2019. "Balance: a thermodynamic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 247-255, April.
    3. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    4. Wei, Shelia X. & Tong, Tong & Rousseau, Ronald & Wang, Wanru & Ye, Fred Y., 2022. "Relations among the h-, g-, ψ-, and p-index and offset-ability," Journal of Informetrics, Elsevier, vol. 16(4).
    5. Fiorenzo Franceschini & Domenico Maisano, 2011. "On the analogy between the evolution of thermodynamic and bibliometric systems: a breakthrough or just a bubble?," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 315-327, October.
    6. Gangan Prathap, 2023. "Letter to the editor: Measure measure on the wall who is the fairest of them all?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 871-872, January.
    7. Gangan Prathap, 2017. "Scientific wealth and inequality within nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 923-928, November.
    8. Rogheyeh Eskrootchi & Nadia Sanee, 2018. "Comparison of medical research performance by thermodynamic and citation analysis methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2159-2168, December.
    9. Bertoli-Barsotti, Lucio & Gagolewski, Marek & Siudem, Grzegorz & Żogała-Siudem, Barbara, 2024. "Gini-stable Lorenz curves and their relation to the generalised Pareto distribution," Journal of Informetrics, Elsevier, vol. 18(2).
    10. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).
    11. Xiaojing Cai & Xiaozan Lyu & Ping Zhou, 2023. "The relationship between interdisciplinarity and citation impact—a novel perspective on citation accumulation," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    12. Gangan Prathap, 2014. "Single parameter indices and bibliometric outliers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1781-1787, December.
    13. Seolmin Yang & So Young Kim, 2023. "Knowledge-integrated research is more disruptive when supported by homogeneous funding sources: a case of US federally funded research in biomedical and life sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3257-3282, June.
    14. Gangan Prathap, 2012. "The quality-quantity-quasity and energy-exergy-entropy exegesis of expected value calculation of citation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 269-275, April.
    15. Loet Leydesdorff & Inga Ivanova, 2021. "The measurement of “interdisciplinarity” and “synergy” in scientific and extra‐scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 387-402, April.
    16. Gangan Prathap, 2012. "A comment to the papers by Opthof and Leydesdorff, Scientometrics, 88, 1011–1016, 2011 and Waltman et al., Scientometrics, 88, 1017–1022, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 737-743, February.
    17. Gangan Prathap, 2012. "Evaluating journal performance metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 403-408, August.
    18. Sumeer Gul & Nahida Tun Nisa & Tariq Ahmad Shah & Sangita Gupta & Asifa Jan & Suhail Ahmad, 2015. "Middle East: research productivity and performance across nations," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1157-1166, November.
    19. Gangan Prathap, 2011. "Letter to the Editor: Comments on the paper of Franceschini and Maisano: Proposals for evaluating the regularity of a scientist’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1005-1010, September.
    20. Hamdi A. Al-Jamimi & Galal M. BinMakhashen & Lutz Bornmann, 2022. "Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5879-5930, October.

    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:128:y:2023:i:5:d:10.1007_s11192-023-04698-2. 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.