A network-based citation indicator of scientific performance

TL;DR

This paper introduces the s-index, a new network-based citation indicator that quantifies scientific performance by analyzing a scientist's position in collaboration networks and their citation impact relative to that position.

Contribution

The paper presents the s-index, a novel metric that captures a scientist's network position and their citation performance relative to peers, enhancing evaluation methods in scientific impact analysis.

Findings

Authors closer in the network are more highly cited.

The s-index effectively differentiates performance based on network position.

Network position influences scientific impact and diffusion of ideas.

Abstract

Scientists are embedded in social and information networks that influence and are influenced by the quality of their scientific work, its impact, and the recognition they receive. Here we quantify the systematic relationship between a scientist's position in the network of scientific collaborations and the citations they receive. As expected, we find that authors closer to others in this network are, on average, more highly cited than those further away from others. We construct a novel indicator, the s-index, that explicitly captures performance linked to network position along two complimentary dimensions: performance expected due to network position and performance relative to this position. The basis of our approach is to represent an author's network position through their distribution of distances to other authors. The s-index then ranks (1) the citation potential of an individual's network position relative to all other authors, and (2) the citations they accrue relative to authors that have a comparable network position. Characterizing scientists through these two complimentary dimensions can be used to make more informed evaluations in a networked environment. For example, it can identify individuals that play an important role in diffusing scientific ideas. It also sheds a new light on central debates in the Science of Science, namely the impact of author teams and comparisons of impact across scientific fields.