Quantifying the higher-order influence of scientific publications

Bibliographic Data

ID21441995
AuthorsMassimo Franceschet (0000-0001-9490-1464, University of Udine), Giovanni Colavizza (0000-0002-9806-084X, University of Amsterdam)
Year2020
Volume125
Issue2
Pages951-963
Publication date2020-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScientometrics (JOURNAL)
Journal identifiersISSN: 0138-9130 • E-ISSN: 1588-2861
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11192-020-03580-9
OpenAlexW3033942671
LanguageEN
Citations received2
References cited24

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

Business · Citation · Citation analysis · Citation impact · Data science · Information retrieval · MEDLINE · Order (exchange) · Political science · Web of science · World Wide Web · Complex Network Analysis Techniques · Computer Science · scientometrics and bibliometrics research · Web visibility and informetrics

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