---
title: "CHI (A*): papers and universities"
description: "CHI (International Conference on Human Factors in Computing Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 4,008 of its papers from 2024–2026 (1,057 in 2024, 1,249 in 2025, 1,702 in 2026). By the countries of the authors' institutions, the most papers come from the United States (1,938), China (508) and the United Kingdom (473)."
url: https://scholar4ai.com/proceedings/chi
markdown_url: https://scholar4ai.com/proceedings/chi.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "CHI (International Conference on Human Factors in Computing Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 4,008 of its papers from 2024–2026 (1,057 in 2024, 1,249 in 2025, 1,702 in… (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# CHI: International Conference on Human Factors in Computing Systems — papers and institutions, 2024–2026

Papers of CHI, International Conference on Human Factors in Computing Systems (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.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- CHI (International Conference on Human Factors in Computing Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 4,008 of its papers from 2024–2026 (1,057 in 2024, 1,249 in 2025, 1,702 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (1,938), China (508) and the United Kingdom (473).
- The institutions with the most papers are University of Washington (201), Carnegie Mellon University (186) and University of Michigan (140).
- Its most-cited paper of these years is “The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers” (2025), with 552 citations.

## Papers per year

*CHI papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 1,057 | 1,055 |
| 2025 | 1,249 | 1,245 |
| 2026 | 1,702 | 1,697 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4363607743](https://openalex.org/S4363607743) | The conference's proceedings |

## Who publishes there

*Institutions with the most CHI papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Washington | 201 |
| 2 | Carnegie Mellon University | 186 |
| 3 | University of Michigan | 140 |
| 4 | Korea Advanced Institute of Science and Technology | 137 |
| 5 | [University of Toronto](https://scholar4ai.com/institutions/university-of-toronto.md) | 115 |
| 6 | Georgia Institute of Technology | 113 |
| 7 | Hong Kong University of Science and Technology | 112 |
| 8 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 109 |
| 9 | Cornell University | 102 |
| 10 | The Hong Kong University of Science and Technology (Guangzhou) | 97 |

*Countries with the most CHI papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 1,938 |
| 2 | China | 508 |
| 3 | United Kingdom | 473 |
| 4 | Germany | 399 |
| 5 | Canada | 365 |
| 6 | South Korea | 309 |
| 7 | Hong Kong | 208 |
| 8 | Australia | 200 |
| 9 | Japan | 163 |
| 10 | Netherlands | 145 |

*Keywords with the most CHI papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 414 |
| 2 | [generative AI](https://scholar4ai.com/keywords/generative-ai.md) | 181 |
| 3 | virtual reality | 165 |
| 4 | user experience | 132 |
| 5 | chatbots | 126 |
| 6 | assistive technology | 123 |
| 7 | co-design | 120 |
| 8 | human-AI collaboration | 109 |
| 9 | human-computer interaction | 107 |
| 10 | accessibility | 95 |

## Most-cited papers

*Most-cited CHI papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 552 | [The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers](https://doi.org/10.1145/3706598.3713778) | 2025-04-25 | Hao-Ping Lee, Advait Sarkar, Lev Tankelevitch et al. |
| 2 | 297 | [The Metacognitive Demands and Opportunities of Generative AI](https://doi.org/10.1145/3613904.3642902) | 2024-05-11 | Lev Tankelevitch, Viktor Nikolaus Kewenig, Auste Simkute et al. |
| 3 | 256 | [CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs](https://doi.org/10.1145/3613904.3642773) | 2024-05-11 | Majeed Kazemitabaar, Runlong Ye, X.-H. Wang et al. |
| 4 | 235 | [Design Principles for Generative AI Applications](https://doi.org/10.1145/3613904.3642466) | 2024-05-11 | Justin D. Weisz, Jessica He, Michael Muller et al. |
| 5 | 203 | [The Effects of Generative AI on Design Fixation and Divergent Thinking](https://doi.org/10.1145/3613904.3642919) | 2024-05-11 | Samangi Wadinambiarachchi, Ryan Kelly, Saumya Pareek et al. |
| 6 | 167 | [User Experience Design Professionals’ Perceptions of Generative Artificial Intelligence](https://doi.org/10.1145/3613904.3642114) | 2024-05-11 | Jingjie Li, Hancheng Cao, L. Lin et al. |
| 7 | 156 | [Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions](https://doi.org/10.1145/3613904.3642596) | 2024-05-11 | Samia Kabir, David N. Udo-Imeh, Bonan Kou et al. |
| 8 | 156 | [Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation](https://doi.org/10.1145/3613904.3642400) | 2024-05-11 | Sangho Suh, Meng Chen, Bryan Min et al. |
| 9 | 150 | [ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing](https://doi.org/10.1145/3613904.3642016) | 2024-05-11 | Ian Arawjo, Chelse Swoopes, Priyan Vaithilingam et al. |
| 10 | 143 | [Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMs](https://doi.org/10.1145/3613904.3642754) | 2024-05-11 | Hariharan Subramonyam, Roy D. Pea, Christopher Pondoc et al. |

## Cite this page

Scholar4AI. (2026). CHI: International Conference on Human Factors in Computing Systems — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/chi

```bibtex
@misc{scholar4ai-proceedings-chi,
  author = {{Scholar4AI}},
  title = {CHI: International Conference on Human Factors in Computing Systems — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/chi}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).