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Assessing the quality of scientific conferences based on bibliographic citations

Author

Listed:
  • Waister Silva Martins

    (Federal University of Minas Gerais)

  • Marcos André Gonçalves

    (Federal University of Minas Gerais)

  • Alberto H. F. Laender

    (Federal University of Minas Gerais)

  • Nivio Ziviani

    (Federal University of Minas Gerais)

Abstract

Assessing the quality of scientific conferences is an important and useful service that can be provided by digital libraries and similar systems. This is specially true for fields such as Computer Science and Electric Engineering, where conference publications are crucial. However, the majority of the existing quality metrics, particularly those relying on bibliographic citations, has been proposed for measuring the quality of journals. In this article we conduct a study about the relative performance of existing journal metrics in assessing the quality of scientific conferences. More importantly, departing from a deep analysis of the deficiencies of these metrics, we propose a new set of quality metrics especially designed to capture intrinsic and important aspects related to conferences, such as longevity, popularity, prestige, and periodicity. To demonstrate the effectiveness of the proposed metrics, we have conducted two sets of experiments that contrast their results against a “gold standard” produced by a large group of specialists. Our metrics obtained gains of more than 12% when compared to the most consistent journal quality metric and up to 58% when compared to standard metrics such as Thomson’s Impact Factor.

Suggested Citation

  • Waister Silva Martins & Marcos André Gonçalves & Alberto H. F. Laender & Nivio Ziviani, 2010. "Assessing the quality of scientific conferences based on bibliographic citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 133-155, April.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0078-y
    DOI: 10.1007/s11192-009-0078-y
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    References listed on IDEAS

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    1. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
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    Cited by:

    1. Danielle H. Lee, 2019. "Predictive power of conference-related factors on citation rates of conference papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 281-304, January.
    2. Peter Ingwersen & Birger Larsen, 2014. "Influence of a performance indicator on Danish research production and citation impact 2000–12," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1325-1344, November.
    3. Xiancheng Li & Wenge Rong & Haoran Shi & Jie Tang & Zhang Xiong, 2018. "The impact of conference ranking systems in computer science: a comparative regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 879-907, August.
    4. Željko Stević & Irena Đalić & Dragan Pamučar & Zdravko Nunić & Slavko Vesković & Marko Vasiljević & Ilija Tanackov, 2019. "A new hybrid model for quality assessment of scientific conferences based on Rough BWM and SERVQUAL," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 1-30, April.
    5. Peep Küngas & Siim Karus & Svitlana Vakulenko & Marlon Dumas & Cristhian Parra & Fabio Casati, 2013. "Reverse-engineering conference rankings: what does it take to make a reputable conference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 651-665, August.
    6. D. R. Amancio & M. G. V. Nunes & O. N. Oliveira & L. F. Costa, 2012. "Using complex networks concepts to assess approaches for citations in scientific papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 827-842, June.
    7. Vinicius da Silva Almendra & Denis Enăchescu & Cornelia Enăchescu, 2015. "Ranking computer science conferences using self-organizing maps with dynamic node splitting," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 267-283, January.
    8. Peter Ingwersen & Birger Larsen & J. Carlos Garcia-Zorita & Antonio Eleazar Serrano-López & Elias Sanz-Casado, 2014. "Influence of proceedings papers on citation impact in seven sub-fields of sustainable energy research 2005–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1273-1292, November.
    9. Regina Negri Pagani & Bruno Pedroso & Celso Bilynkievycz Santos & Claudia Tania Picinin & João Luiz Kovaleski, 2023. "Methodi Ordinatio 2.0: revisited under statistical estimation, and presenting FInder and RankIn," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4563-4602, October.
    10. Nicholas Yee Liang Hing & Xin Ci Wong & Pei Xuan Kuan & Mohan Dass Pathmanathan & Mohd Aizuddin Abdul Rahman & Kalaiarasu M. Peariasamy, 2022. "Scientific Abstract to Full Paper: Publication Rate over a 3-Year Period in a Malaysian Clinical Research Conference," Publications, MDPI, vol. 10(4), pages 1-13, October.
    11. Michael Eckmann & Anderson Rocha & Jacques Wainer, 2012. "Relationship between high-quality journals and conferences in computer vision," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 617-630, February.
    12. Meho, Lokman I., 2019. "Using Scopus’s CiteScore for assessing the quality of computer science conferences," Journal of Informetrics, Elsevier, vol. 13(1), pages 419-433.

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