Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations

TL;DR

This paper analyzes 32 years of IEEE VIS publications, revealing trends in authorship, collaboration, geographic diversity, and citation patterns, highlighting its growth and evolving disciplinary influence within Data Science.

Contribution

It provides a comprehensive longitudinal analysis of VIS authors, collaborations, and citation flows, emphasizing its increasing popularity and diversification over three decades.

Findings

VIS has seen steady growth in publications, authors, and participating countries.

Cross-country and cross-type collaborations are increasing, reducing US dominance.

Award-winning papers tend to receive higher citations.

Abstract

The IEEE VIS Conference (VIS) recently rebranded itself as a unified conference and officially positioned itself within the discipline of Data Science. Driven by this movement, we investigated (1) who contributed to VIS, and (2) where VIS stands in the scientific world. We examined the authors and fields of study of 3,240 VIS publications in the past 32 years based on data collected from OpenAlex and IEEE Xplore, among other sources. We also examined the citation flows from referenced papers (i.e., those referenced in VIS) to VIS, and from VIS to citing papers (i.e., those citing VIS). We found that VIS has been becoming increasingly popular and collaborative. The number of publications, of unique authors, and of participating countries have been steadily growing. Both cross-country collaborations, and collaborations between educational and non-educational affiliations, namely "cross-type collaborations", are increasing. The dominance of the US is decreasing, and authors from China are now an important part of VIS. In terms of author affiliation types, VIS is increasingly dominated by authors from universities. We found that the topics, inspirations, and influences of VIS research is limited such that (1) VIS, and their referenced and citing papers largely fall into the Computer Science domain, and (2) citations flow mostly between the same set of subfields within Computer Science. Our citation analyses showed that award-winning VIS papers had higher citations. Interactive visualizations, replication data, source code and supplementary material are available at https://32vis.hongtaoh.com and https://osf.io/zkvjm.