IDEAS home Printed from https://ideas.repec.org/a/neo/epjour/v5y2017i2p95-105.html
   My bibliography  Save this article

A Bibliometric Study Of Citations In Corporate Governance

Author

Listed:
  • MIROSLAV NEDELCHEV

    (Bulgarian Academy of Sciences)

Abstract

The aim of the paper is carrying out a citation analysis in the fields of corporate governance. The research goal is to identify the dynamics of citations. The analysis covers 2322 publications and 14140 citations for the period 1999-2016. The analysis determines a peak of publications at the beginning of the period, which can be explained by the introduction of Corporate Governance Principles by the Organization for Economic Cooperation and Development. The number of citations declines after the first two years after publication. The results of the analysis are formulated as recommendations for improving publications and increasing the number of citations.

Suggested Citation

  • Miroslav Nedelchev, 2017. "A Bibliometric Study Of Citations In Corporate Governance," Entrepreneurship, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 5(2), pages 95-105.
    • Handle: RePEc:neo:epjour:v:5:y:2017:i:2:p:95-105
    as

    Download full text from publisher

    File URL: http://ep.swu.bg/images/pdfarticles/2017/A_BIBLIOMETRIC_STUDY_OF_CITATIONS_IN_CORPORATE.pdf
    Download Restriction: no
    File URL: http://ep.swu.bg/index.php/archive/2017/2017-issue-2/119-a-bibliometric-study-of-citations-in-corporate-governance
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. V. Simkin & V. P. Roychowdhury, 2005. "Stochastic modeling of citation slips," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(3), pages 367-384, 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. Miroslav Nedelchev, 2018. "Bibliometric Review of Corporate Governance Theories and Methods," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 126-145.
    2. Andrei Dubovik & Clemens Fiedler & Alexei Parakhonyak, 2022. "Temporal Patterns in Economics Research," CPB Discussion Paper 440, CPB Netherlands Bureau for Economic Policy Analysis.

    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. Martin Ricker, 2017. "Letter to the Editor: About the quality and impact of scientific articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1851-1855, June.
    2. Bruno S. Frey & Katja Rost, 2010. "Do rankings reflect research quality?," Journal of Applied Economics, Universidad del CEMA, vol. 13, pages 1-38, May.
    3. James K. Wetterer, 2006. "Quotation error, citation copying, and ant extinctions in Madeira," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 351-372, June.
    4. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    5. Bramoullé, Yann & Currarini, Sergio & Jackson, Matthew O. & Pin, Paolo & Rogers, Brian W., 2012. "Homophily and long-run integration in social networks," Journal of Economic Theory, Elsevier, vol. 147(5), pages 1754-1786.
    6. Xie, Zheng & Ouyang, Zhenzheng & Liu, Qi & Li, Jianping, 2016. "A geometric graph model for citation networks of exponentially growing scientific papers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 167-175.
    7. Waltman, Ludo & van Eck, Nees Jan & Wouters, Paul, 2013. "Counting publications and citations: Is more always better?," Journal of Informetrics, Elsevier, vol. 7(3), pages 635-641.
    8. S. R. Goldberg & H. Anthony & T. S. Evans, 2015. "Modelling citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1577-1604, December.
    9. Christian Borghesi & Jean-Philippe Bouchaud, 2007. "Of songs and men: a model for multiple choice with herding," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(4), pages 557-568, August.
    10. Clough, James R. & Evans, Tim S., 2016. "What is the dimension of citation space?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 235-247.
    11. Pawel Sobkowicz, 2011. "Simulations of opinion changes in scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 233-250, May.
    12. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
    13. Brito, Ana C.M. & Silva, Filipi N. & Amancio, Diego R., 2021. "Associations between author-level metrics in subsequent time periods," Journal of Informetrics, Elsevier, vol. 15(4).
    14. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
    15. Liming Liang & Zhen Zhong & Ronald Rousseau, 2014. "Scientists’ referencing (mis)behavior revealed by the dissemination network of referencing errors," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1973-1986, December.
    16. Lin Zhang & Wolfgang Glänzel, 2017. "A citation-based cross-disciplinary study on literature aging: part I—the synchronous approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1573-1589, June.
    17. Katja Rost & Bruno S. Frey, 2011. "Quantitative and Qualitative Rankings of Scholars," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 63(1), pages 63-91, January.
    18. Aaron Cumberledge & Neal Smith & Benjamin W. Riley, 2023. "Unverified history: an analysis of quotation accuracy in leading history journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4677-4687, August.

    More about this item

    Keywords

    corporate governance; bibliometrics; citation analysis; SSRN;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

    Statistics

    Access and download statistics

    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:neo:epjour:v:5:y:2017:i:2:p:95-105. 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: Vladislav Krastev (email available below). General contact details of provider: https://edirc.repec.org/data/feswubg.html .

    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.