IEEE VIS: IEEE Visualization — papers and institutions, 2024–2026
Papers of IEEE VIS, IEEE Visualization (CORE rank A; field: Human-centred computing), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.
IEEE VIS (IEEE Visualization) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 450 of its papers from 2024–2026 (217 in 2024, 215 in 2025, 18 in 2026).
By the countries of the authors' institutions, the most papers come from the United States (229), China (67) and Germany (43).
The institutions with the most papers are Harvard University (23), Hong Kong University of Science and Technology (19) and Institut national de recherche en sciences et technologies du numérique (18).
Its most-cited paper of these years is “VisEval: A Benchmark for Data Visualization in the Era of Large Language Models” (2024), with 50 citations.
OpenAlex has affiliations for only 89% of its papers, so the institution and country counts are incomplete.
Scholar4AI. (2026). IEEE VIS: IEEE Visualization — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ieee-vis
@misc{scholar4ai-proceedings-ieee-vis,
author = {{Scholar4AI}},
title = {IEEE VIS: IEEE Visualization — papers and institutions, 2024–2026},
year = {2026},
howpublished = {\url{https://scholar4ai.com/proceedings/ieee-vis}},
urldate = {2026-11-02},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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