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Predictive power of conference-related factors on citation rates of conference papers

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This paper aims to determine the factors significantly predicting the future citation rates of conference papers. Whereas a large body of bibliometric studies has investigated the multiple factors predicting future citation rates, the attention has been paid mainly on journal articles. This study analyzes 43,463 papers from 81 conference series in the ‘Information Science’ and ‘Computer Science’ fields and examines the contributions of conference-related factors to the citation rates of the conference papers. More specifically, this paper assesses the following conference related factors as being potentially predictive factors of citation rates: longevity and names of the conference series, the number of presented papers at individual conferences, acceptance rates, the seasons of conferences, the content similarity of the presented papers at a conference, the degree of the authors’ international collaborations and the records of the best paper awards at conferences. The regression results illustrate that all of the factors were significantly predictive to the future citations of the conference papers. The factors that contributed the most to explain the citations of the conference papers include: the degree of the authors’ international collaborations at individual conferences, the records of best paper awards and the acceptance rates of individual conferences.

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  1. Pennsilvania State University; Syracuse University; Temple University; University of California—Irvnine; University of Florida; University of Illinois—Urbana—Champaign; University of Indiana; University of Maryland—College Park; University of North Carolina; University of Pennsilvania; University of Pittsburgh; University of Southern California; University of Washington (in alphabetic order).


  3. In the line of work by Wainer et al. (2011), which substantiated the citation rate changes in the same discipline with this study, the citation number ‘10’ was chosen as the threshold to determine if a given paper is highly cited or not.


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This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (Ministry of Science and ICT) (NRF-2018R1C1B6002434).

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Correspondence to Danielle H. Lee.

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Lee, D.H. Predictive power of conference-related factors on citation rates of conference papers. Scientometrics 118, 281–304 (2019).

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