---
title: "UIST (A*): papers and universities"
description: "UIST (ACM Symposium on User Interface Software and Technology) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 634 of its papers from 2024–2026 (260 in 2024, 124 in 2025, 250 in 2026). By the countries of the authors' institutions, the most papers come from the United States (354), China (105) and Japan (61)."
url: https://scholar4ai.com/proceedings/uist
markdown_url: https://scholar4ai.com/proceedings/uist.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "UIST (ACM Symposium on User Interface Software and Technology) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 634 of its papers from 2024–2026 (260 in 2024, 124 in 2025, 250 in 2026). (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)
---

# UIST: ACM Symposium on User Interface Software and Technology — papers and institutions, 2024–2026

Papers of UIST, ACM Symposium on User Interface Software and Technology (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

- UIST (ACM Symposium on User Interface Software and Technology) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 634 of its papers from 2024–2026 (260 in 2024, 124 in 2025, 250 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (354), China (105) and Japan (61).
- The institutions with the most papers are Carnegie Mellon University (47), University of Washington (42) and Massachusetts Institute of Technology (31).
- Its most-cited paper of these years is “Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences” (2024), with 159 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 260 | 258 |
| 2025 | 124 | 121 |
| 2026 | 250 | 247 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407087746](https://openalex.org/S7407087746) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | Carnegie Mellon University | 47 |
| 2 | University of Washington | 42 |
| 3 | Massachusetts Institute of Technology | 31 |
| 4 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 28 |
| 5 | University of California, Berkeley | 25 |
| 6 | Korea Advanced Institute of Science and Technology | 23 |
| 7 | MIT Computer Science and Artificial Intelligence Laboratory | 23 |
| 8 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 23 |
| 9 | Adobe Systems (United States) | 22 |
| 10 | University of Michigan | 22 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 354 |
| 2 | China | 105 |
| 3 | Japan | 61 |
| 4 | South Korea | 57 |
| 5 | Canada | 50 |
| 6 | Germany | 38 |
| 7 | Hong Kong | 37 |
| 8 | United Kingdom | 36 |
| 9 | Switzerland | 17 |
| 10 | Singapore | 16 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 57 |
| 2 | haptic feedback | 26 |
| 3 | virtual reality | 22 |
| 4 | [generative AI](https://scholar4ai.com/keywords/generative-ai.md) | 20 |
| 5 | assistive technology | 19 |
| 6 | human-computer interaction | 16 |
| 7 | mixed reality | 16 |
| 8 | augmented reality | 14 |
| 9 | extended reality | 13 |
| 10 | human-robot interaction | 12 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 159 | [Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences](https://doi.org/10.1145/3654777.3676450) | 2024-10-11 | Shreya Shankar, J.D. Zamfirescu-Pereira, Björn Hartmann et al. |
| 2 | 68 | [Augmented Object Intelligence with XR-Objects](https://doi.org/10.1145/3654777.3676379) | 2024-10-11 | Mustafa Doga Dogan, Eric J. Gonzalez, Karan Ahuja et al. |
| 3 | 66 | [WorldScribe: Towards Context-Aware Live Visual Descriptions](https://doi.org/10.1145/3654777.3676375) | 2024-10-11 | Ruei-Che Chang, Yuxuan Liu, Anhong Guo |
| 4 | 60 | [VRCopilot: Authoring 3D Layouts with Generative AI Models in VR](https://doi.org/10.1145/3654777.3676451) | 2024-10-11 | Lei Zhang, Jin Pan, Jacob Gettig et al. |
| 5 | 53 | [Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition](https://doi.org/10.1145/3654777.3676345) | 2024-10-11 | Majeed Kazemitabaar, Jack Williams, Ian Drosos et al. |
| 6 | 51 | [WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization](https://doi.org/10.1145/3654777.3676374) | 2024-10-11 | Liwenhan Xie, Chengbo Zheng, Haijun Xia et al. |
| 7 | 41 | [MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer Devices](https://doi.org/10.1145/3654777.3676461) | 2024-10-11 | Vasco Xu, Chenfeng Gao, Henry Hoffmann et al. |
| 8 | 41 | [ProtoDreamer: A Mixed-prototype Tool Combining Physical Model and Generative AI to Support Conceptual Design](https://doi.org/10.1145/3654777.3676399) | 2024-10-11 | Hongbo Zhang, Pei Chen, Xuelong Xie et al. |
| 9 | 39 | [VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction](https://doi.org/10.1145/3654777.3676414) | 2024-10-11 | Joshua Gorniak, Yoon Kim, Donglai Wei et al. |
| 10 | 39 | [VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robots](https://doi.org/10.1145/3654777.3676401) | 2024-10-11 | Akhil Padmanabha, Jessie Yuan, Janavi Gupta et al. |

## Cite this page

Scholar4AI. (2026). UIST: ACM Symposium on User Interface Software and Technology — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/uist

```bibtex
@misc{scholar4ai-proceedings-uist,
  author = {{Scholar4AI}},
  title = {UIST: ACM Symposium on User Interface Software and Technology — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/uist}},
  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/).