IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v107y2016i3d10.1007_s11192-016-1939-9.html
   My bibliography  Save this article

The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences

Author

Listed:
  • Guillermo Armando Ronda-Pupo

    (Universidad Católica del Norte
    Universidad de Holguín)

  • J. Sylvan Katz

    (University of Sussex
    Johnson-Shoyama Graduate School of Public Policy)

Abstract

The aim of this paper is to extend our knowledge about the power-law relationship between citation-based performance and collaboration patterns for papers by analyzing its behavior at the level of a national science system. We analyzed 3012 Cuban articles on Natural Sciences that received 17,295 citations. The number of articles published through collaboration accounted for 94 %. The collaborative articles accounted for 96 % of overall citations. The citation-based performance and international collaboration patterns exhibit a power-law correlation with a scaling exponent of 1.22 ± 0.08. Citations to a field’s research internationally collaborative articles in Natural Sciences tended to increase 2.1.22 or 2.33 times each time it doubles the number of internationally collaborative papers. The Matthew Effect is stronger for internationally collaborative papers than for domestic collaborative articles.

Suggested Citation

  • Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2016. "The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1423-1434, June.
    • Handle: RePEc:spr:scient:v:107:y:2016:i:3:d:10.1007_s11192-016-1939-9
    DOI: 10.1007/s11192-016-1939-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-1939-9
    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/s11192-016-1939-9?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. M. Ausloos, 2013. "A scientometrics law about co-authors and their ranking: the co-author core," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 895-909, June.
    2. Derek De Solla Price, 1976. "A general theory of bibliometric and other cumulative advantage processes," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(5), pages 292-306, September.
    3. Anthony F. J. Raan & Thed N. Leeuwen & Martijn S. Visser, 2011. "Severe language effect in university rankings: particularly Germany and France are wronged in citation-based rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 495-498, August.
    4. Anthony F. J. van Raan, 2006. "Performance‐related differences of bibliometric statistical properties of research groups: Cumulative advantages and hierarchically layered networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(14), pages 1919-1935, December.
    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. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2018. "The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 919-932, March.
    2. 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.
    3. Guillermo Armando Ronda-Pupo, 2017. "The effect of document types and sizes on the scaling relationship between citations and co-authorship patterns in management journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1191-1207, March.
    4. Saeed Roshani & Mohammad-Reza Bagherylooieh & Melika Mosleh & Mario Coccia, 2021. "What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7859-7874, September.
    5. Melika Mosleh & Saeed Roshani & Mario Coccia, 2022. "Scientific laws of research funding to support citations and diffusion of knowledge in life science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1931-1951, April.
    6. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.
    7. Guillermo Armando Ronda-Pupo, 2023. "Mexico: a bridge in Cuba–U.S. scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2301-2315, April.
    8. Jane Payumo & Taurean Sutton & Derek Brown & Dan Nordquist & Marc Evans & Danna Moore & Prema Arasu, 2017. "Input–output analysis of international research collaborations: a case study of five U.S. universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1657-1671, 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. Guillermo Armando Ronda-Pupo, 2017. "The effect of document types and sizes on the scaling relationship between citations and co-authorship patterns in management journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1191-1207, March.
    2. Anthony F J van Raan, 2013. "Universities Scale Like Cities," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-14, March.
    3. Fenner, Trevor & Levene, Mark & Loizou, George, 2010. "Predicting the long tail of book sales: Unearthing the power-law exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2416-2421.
    4. Sarah Shandera & Jes L Matsick & David R Hunter & Louis Leblond, 2021. "RASE: Modeling cumulative disadvantage due to marginalized group status in academia," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-20, December.
    5. Smith, Dallas & Webb, Benjamin, 2019. "Hidden symmetries in real and theoretical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 855-867.
    6. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    7. Perc, Matjaž, 2010. "Zipf’s law and log-normal distributions in measures of scientific output across fields and institutions: 40 years of Slovenia’s research as an example," Journal of Informetrics, Elsevier, vol. 4(3), pages 358-364.
    8. Battiston, Pietro & Sacco, Pier Luigi & Stanca, Luca, 2022. "Cover effects on citations uncovered: Evidence from Nature," Journal of Informetrics, Elsevier, vol. 16(2).
    9. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    10. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    11. Eloy López-Meneses & Esteban Vázquez-Cano & Mariana-Daniela González-Zamar & Emilio Abad-Segura, 2020. "Socioeconomic Effects in Cyberbullying: Global Research Trends in the Educational Context," IJERPH, MDPI, vol. 17(12), pages 1-31, June.
    12. Cremonini, Marco, 2016. "Introducing serendipity in a social network model of knowledge diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 64-71.
    13. Ausloos, Marcel, 2015. "Coherent measures of the impact of co-authors in peer review journals and in proceedings publications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 568-578.
    14. João M. Fernandes, 2014. "Authorship trends in software engineering," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 257-271, October.
    15. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    16. Marcus Wagner, 2007. "The Link between Environmental Innovation, Patents, and Environmental Management," DRUID Working Papers 07-14, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    17. Mike Thelwall, 2018. "Early Mendeley readers correlate with later citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1231-1240, June.
    18. Giuliani, Elisa & Pietrobelli, Carlo, 2014. "Social Network Analysis Methodologies for the Evaluation of Cluster Development Programs," Papers in Innovation Studies 2014/11, Lund University, CIRCLE - Centre for Innovation Research.
    19. Rotundo, Giulia, 2014. "Black–Scholes–Schrödinger–Zipf–Mandelbrot model framework for improving a study of the coauthor core score," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 296-301.
    20. Michel Zitt, 2015. "Meso-level retrieval: IR-bibliometrics interplay and hybrid citation-words methods in scientific fields delineation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2223-2245, March.

    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:107:y:2016:i:3:d:10.1007_s11192-016-1939-9. 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.