Quantifying the higher-order influence of scientific publications
Massimo Franceschet () and
Giovanni Colavizza ()
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Massimo Franceschet: University of Udine
Giovanni Colavizza: University of Amsterdam
Scientometrics, 2020, vol. 125, issue 2, No 9, 963 pages
Abstract:
Abstract Citation impact is commonly assessed using direct, first-order citation relations. We consider here instead the indirect influence of publications on new publications via citations. We present a novel method to quantify the higher-order citation influence of publications, considering both direct, or first-order, and indirect, or higher-order citations. In particular, we are interested in higher-order citation influence at the level of disciplines. We apply this method to the whole Web of Science data at the level of disciplines. We find that a significant amount of influence—42%—stems from higher-order citations. Furthermore, we show that higher-order citation influence is helpful to quantify and visualize citation flows among disciplines, and to assess their degree of interdisciplinarity.
Keywords: Impact; Influence; Citation impact; Citation influence; Citation networks; Interdisciplinarity (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:125:y:2020:i:2:d:10.1007_s11192-020-03580-9
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DOI: 10.1007/s11192-020-03580-9
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