A quantitative analysis of determinants of non-citation using a panel data model

Zewen Hu, Yishan Wu () and Jianjun Sun
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Zewen Hu: Nanjing University of Information Science and Technology
Yishan Wu: Chinese Academy of Science and Technology for Development
Jianjun Sun: Nanjing University

Scientometrics, 2018, vol. 116, issue 2, No 9, 843-861

Abstract: Abstract The term “non-citation factor” refers to the percentage of never-cited papers in a citation time window, a common phenomenon in the science world. Some scholars have qualitatively explored the reasons for not citing a publication, and quantitatively analyzed the mathematical functional relations between the “non-citation factor” and “impact factor of a journal.” This study simultaneously considers the mutual relations and closeness degree between the “non-citation factor” and different influencing factors from a novel perspective—that of using a more structuralized panel data model. The analysis revealed that the determinants, including “impact factor of journal,” “age of journal,” “average number of references per paper in journal,” and “issues of journal,” exerted an extremely small but positive influence (

Keywords: Non-citation; Uncitedness; Determinant; Impact factor; Panel data model; Quantitative analysis; Bibliometric analysis; Interdisciplinary; Author and references (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11192-018-2791-x

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