Quantifying the higher-order influence of scientific publications
| Authors |
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| Publication date | 11-2020 |
| Journal | Scientometrics |
| Event | 17th International Conference on Scientometrics and Informetrics, ISSI 2019 |
| Volume | Issue number | 125 | 2 |
| Pages (from-to) | 951–963 |
| Organisations |
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| 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.
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| Document type | Article |
| Note | In special issue: The 17th International Conference on Scientometrics and Informetrics. |
| Language | English |
| Published at | https://doi.org/10.1007/s11192-020-03580-9 |
| Downloads |
Franceschet-Colavizza2020_Article_QuantifyingTheHigher-orderInfl
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