Papers › Citation network centrality: a scientific awards predictor?
Citation network centrality: a scientific awards predictor?
Osame Kinouchi, Adriano J. Holanda, George C. Cardoso
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The K-index is an easily computable centrality index in complex networks, such as a scientific citations network. A researcher has a K-index equal to K if he or she is cited by K articles that have at least K citations. The K-index has several advantages over Hirsh's h-index and, in previous studies, has shown better correlation with Nobel prizes than any other index given by the {\em Web of Science}, including the h-index. It is plausible that researchers who are the most connected to other scientifically well-connected researchers are the most likely to be doing important work and more likely to be awarded major prizes in a given area. However, the correlation found does not imply causation. Here we perform an experiment using the K-index, producing a shortlist of twelve candidates for major scientific prizes, including the Physics Nobel award, in the near future. For example, our top-12 K-index list naturally selects the 2019 Nobel laureate, James Peebles. The list can be updated annually and should be compared to laureates of the following years
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