--- title: "ASSETS (A): papers and universities" description: "ASSETS (International ACM SIGACCESS Conference on Computers and Accessibility) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 498 of its papers from 2024–2026 (138 in 2024, 182 in 2025, 178 in 2026). By the countries of the authors' institutions, the most papers come from the United States (334), Japan (47) and the United Kingdom (42)." url: https://scholar4ai.com/proceedings/assets markdown_url: https://scholar4ai.com/proceedings/assets.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "ASSETS (International ACM SIGACCESS Conference on Computers and Accessibility) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 498 of its papers from 2024–2026 (138 in 2024, 182 in 2025, 178 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) --- # ASSETS: International ACM SIGACCESS Conference on Computers and Accessibility — papers and institutions, 2024–2026 Papers of ASSETS, International ACM SIGACCESS Conference on Computers and Accessibility (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 - ASSETS (International ACM SIGACCESS Conference on Computers and Accessibility) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 498 of its papers from 2024–2026 (138 in 2024, 182 in 2025, 178 in 2026). - By the countries of the authors' institutions, the most papers come from the United States (334), Japan (47) and the United Kingdom (42). - The institutions with the most papers are University of Washington (44), University of Michigan (29) and Rochester Institute of Technology (26). - Its most-cited paper of these years is “"I look at it as the king of knowledge": How Blind People Use and Understand Generative AI Tools” (2024), with 73 citations. ## Papers per year *ASSETS papers per publication year in OpenAlex (–: not in OpenAlex yet)* | Year | Papers | With affiliations | |---|---:|---:| | 2024 | 138 | 137 | | 2025 | 182 | 182 | | 2026 | 178 | 175 | ## Sources *Where OpenAlex lists the papers* | OpenAlex source | Which papers | |---|---| | [S7407088110](https://openalex.org/S7407088110) | The conference's proceedings | ## Who publishes there *Institutions with the most ASSETS papers, 2024–2026* | # | Institution | Papers | |---:|---|---:| | 1 | University of Washington | 44 | | 2 | University of Michigan | 29 | | 3 | Rochester Institute of Technology | 26 | | 4 | University of Illinois Urbana-Champaign | 22 | | 5 | Carnegie Mellon University | 20 | | 6 | Northeastern University | 19 | | 7 | Georgia Institute of Technology | 17 | | 8 | Karlsruhe Institute of Technology | 15 | | 9 | University of Wisconsin–Madison | 13 | | 10 | University of California, Irvine | 13 | *Countries with the most ASSETS papers, 2024–2026* | # | Country | Papers | |---:|---|---:| | 1 | United States | 334 | | 2 | Japan | 47 | | 3 | United Kingdom | 42 | | 4 | Germany | 24 | | 5 | Canada | 22 | | 6 | China | 20 | | 7 | Australia | 17 | | 8 | Portugal | 14 | | 9 | Austria | 12 | | 10 | South Korea | 10 | *Keywords with the most ASSETS papers, 2024–2026* | # | Keyword | Papers | |---:|---|---:| | 1 | assistive technology | 161 | | 2 | accessibility | 149 | | 3 | blind and visually impaired users | 46 | | 4 | co-design | 36 | | 5 | visual impairment | 34 | | 6 | assistive technology design | 33 | | 7 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 33 | | 8 | inclusive design | 27 | | 9 | people with disabilities | 27 | | 10 | older adults | 25 | ## Most-cited papers *Most-cited ASSETS papers of 2024–2026 (citations counted by OpenAlex)* | # | Citations | Title | Published | Authors | |---:|---:|---|---|---| | 1 | 73 | ["I look at it as the king of knowledge": How Blind People Use and Understand Generative AI Tools](https://doi.org/10.1145/3663548.3675631) | 2024-10-20 | Rudaiba Adnin, Maitraye Das | | 2 | 40 | [Misfitting With AI: How Blind People Verify and Contest AI Errors](https://doi.org/10.1145/3663548.3675659) | 2024-10-20 | Rahaf Alharbi, Pa Lor, Jaylin Herskovitz et al. | | 3 | 30 | ["I Am Human, Just Like You": What Intersectional, Neurodivergent Lived Experiences Bring to Accessibility Research](https://doi.org/10.1145/3663548.3675651) | 2024-10-20 | Lindy Le | | 4 | 29 | [Context-Aware Image Descriptions for Web Accessibility](https://doi.org/10.1145/3663548.3675658) | 2024-10-20 | Ananya Gubbi Mohanbabu, Amy Pavel | | 5 | 25 | [Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity](https://doi.org/10.1145/3663548.3675644) | 2024-10-20 | Cynthia L. Bennett, Renee Marie Shelby, Negar Rostamzadeh et al. | | 6 | 25 | [AltCanvas: A Tile-Based Editor for Visual Content Creation with Generative AI for Blind or Visually Impaired People](https://doi.org/10.1145/3663548.3675600) | 2024-10-20 | Seong Hee Lee, Maho Kohga, Steve Landau et al. | | 7 | 24 | [MAIDR Meets AI: Exploring Multimodal LLM-Based Data Visualization Interpretation by and with Blind and Low-Vision Users](https://doi.org/10.1145/3663548.3675660) | 2024-10-20 | JooYoung Seo, Sanchita S. Kamath, Aziz Zeidieh et al. | | 8 | 24 | [Enabling Uniform Computer Interaction Experience for Blind Users through Large Language Models](https://doi.org/10.1145/3663548.3675605) | 2024-10-20 | Satwik Ram Kodandaram, Utku Uckun, Xiaojun Bi et al. | | 9 | 24 | [ChartA11y: Designing Accessible Touch Experiences of Visualizations with Blind Smartphone Users](https://doi.org/10.1145/3663548.3675611) | 2024-10-20 | Zhuohao Zhang, John R Thompson, Aditi Shah et al. | | 10 | 22 | [Audio Description Customization](https://doi.org/10.1145/3663548.3675617) | 2024-10-20 | Rosiana Natalie, Ruei-Che Chang, Smitha Sheshadri et al. | ## Cite this page Scholar4AI. (2026). ASSETS: International ACM SIGACCESS Conference on Computers and Accessibility — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/assets ```bibtex @misc{scholar4ai-proceedings-assets, author = {{Scholar4AI}}, title = {ASSETS: International ACM SIGACCESS Conference on Computers and Accessibility — papers and institutions, 2024–2026}, year = {2026}, howpublished = {\url{https://scholar4ai.com/proceedings/assets}}, 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/).