Encoding the citation life-cycle: the operationalization of a literature-aging conceptual model

Zhenyu Gou (), Fan Meng (), Zaida Chinchilla-Rodríguez () and Yi Bu ()
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Zhenyu Gou: Wuhan University
Fan Meng: Peking University
Zaida Chinchilla-Rodríguez: Peking University
Yi Bu: Peking University

Scientometrics, 2022, vol. 127, issue 8, No 33, 5027-5052

Abstract: Abstract In this study, we introduce a new literature-aging conceptual model to study the citation curve and discuss its implications. First, we improve the conceptual model by adding a period to describe the “death” of citations. Second, we offer a feasible operationalization for this conceptual model and implement a set of cross-discipline publications in the Web of Science to test its performance. Furthermore, we propose two measurements according to the new model—“Sleeping Period” and “Recognition Period”—to capture publications’ citation curve patterns. For instance, we find that half of the papers in Arts & Humanities published in 1985 receive no or extremely few citations in the first 5 years after their publication; after that, on average, those papers in Arts & Humanities have a 5-year-long period when their citations grow rapidly. In addition, we observe a special phenomenon named “literature revival” as some publications may have multiple citation life-cycles, which has received little attention from current research. Finally, we discuss the implications of our study, especially the application of the Sleeping Period and Recognition Period in improving scientific evaluation and collection development in libraries, and the inspiration of the “literature revival”.

Keywords: Literature-aging model; Citation life-cycle; Bibliometrics (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11192-022-04437-z

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