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Using Scopus’s CiteScore for assessing the quality of computer science conferences

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  • Meho, Lokman I.

Abstract

Publication, hiring, promotion, tenure, and funding decisions in computer science often depend on an accurate assessment of the quality of conferences. This study reviews relevant literature and tests Scopus’s CiteScore database and method for evaluating the quality of 395 conferences in the field.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:infome:v:13:y:2019:i:1:p:419-433
    DOI: 10.1016/j.joi.2019.02.006
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    References listed on IDEAS

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    1. Lokman I. Meho & Yvonne Rogers, 2008. "Citation counting, citation ranking, and h‐index of human‐computer interaction researchers: A comparison of Scopus and Web of Science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1711-1726, September.
    2. Vahid Garousi & João M. Fernandes, 2017. "Quantity versus impact of software engineering papers: a quantitative study," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 963-1006, August.
    3. Lokman I. Meho & Kiduk Yang, 2007. "Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2105-2125, November.
    4. George Vrettas & Mark Sanderson, 2015. "Conferences versus journals in computer science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2674-2684, December.
    5. Jaime A. Teixeira da Silva & Aamir Raoof Memon, 2017. "CiteScore: A cite for sore eyes, or a valuable, transparent metric?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 553-556, April.
    6. Yifan Qian & Wenge Rong & Nan Jiang & Jie Tang & Zhang Xiong, 2017. "Citation regression analysis of computer science publications in different ranking categories and subfields," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1351-1374, March.
    7. 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.
    8. Loizides, Orestis-Stavros & Koutsakis, Polychronis, 2017. "On evaluating the quality of a computer science/computer engineering conference," Journal of Informetrics, Elsevier, vol. 11(2), pages 541-552.
    9. 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.
    10. 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.
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    Cited by:

    1. Marcelo Mendoza, 2021. "Differences in Citation Patterns across Areas, Article Types and Age Groups of Researchers," Publications, MDPI, vol. 9(4), pages 1-23, October.
    2. Pooyan Makvandi & Anahita Nodehi & Franklin R. Tay, 2021. "Conference Accreditation and Need of a Bibliometric Measure to Distinguish Predatory Conferences," Publications, MDPI, vol. 9(2), pages 1-5, April.
    3. Jaime A. Teixeira da Silva, 2021. "CiteScore: risk of copy-cat, fake and misleading metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1859-1862, February.
    4. Saarela, Mirka & Kärkkäinen, Tommi, 2020. "Can we automate expert-based journal rankings? Analysis of the Finnish publication indicator," Journal of Informetrics, Elsevier, vol. 14(2).
    5. Diana Purwitasari & Chastine Fatichah & Surya Sumpeno & Christian Steglich & Mauridhi Hery Purnomo, 2020. "Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1407-1443, March.
    6. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    7. Sun, Zhuanlan & Liu, Sheng & Li, Yiwei & Ma, Chao, 2023. "Expedited editorial decision in COVID-19 pandemic," Journal of Informetrics, Elsevier, vol. 17(1).
    8. Paolo Lorenzo Ferrara & Michele La Noce & Gaetano Sciuto, 2023. "Sustainability of Green Building Materials: A Scientometric Review of Geopolymers from a Circular Economy Perspective," Sustainability, MDPI, vol. 15(22), pages 1-27, November.

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