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Preprint . 2023
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https://doi.org/10.55835/6442f...
Article . 2023 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
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Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 19 May 2023Embargo end date: 01 Jan 2023Publisher:International Conference on Science, Technology and Innovation IndicatorsJournal:27th International Conference on Science, Technology and Innovation Indicators (STI 2023)
Authors: Angelo Salatino; Simone Angioni; Francesco Osborne; Diego Reforgiato Recupero; Enrico Motta;

doi: 10.55835/6442f3fd947802668eee976c , 10.48550/arxiv.2306.15344

arXiv: http://arxiv.org/abs/2306.15344

Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science

Abstract

Understanding the relationship between the composition of a research team and the potential impact of their research papers is crucial as it can steer the development of new science policies for improving the research enterprise. Numerous studies assess how the characteristics and diversity of research teams can influence their performance across several dimensions: ethnicity, internationality, size, and others. In this paper, we explore the impact of diversity in terms of the authors’ expertise. To this purpose, we retrieved 114K papers in the field of Computer Science and analysed how the diversity of research fields within a research team relates to the number of citations their papers received in the upcoming 5 years. The results show that two different metrics we defined, reflecting the diversity of expertise, are significantly associated with the number of citations. This suggests that, at least in Computer Science, diversity of expertise is key to scientific impact.

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Keywords

Social and Information Networks (cs.SI), FOS: Computer and information sciences, J.4, Computer Science - Digital Libraries, Computer Science - Social and Information Networks, Computational Engineering, Finance, and Science (cs.CE), Computer Science - Computers and Society, Computers and Society (cs.CY), Digital Libraries (cs.DL), Computer Science - Computational Engineering, Finance, and Science

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    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze
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