Upol Ehsan

1.5k total citations
21 papers, 508 citations indexed

About

Upol Ehsan is a scholar working on Artificial Intelligence, Safety Research and Health Informatics. According to data from OpenAlex, Upol Ehsan has authored 21 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Safety Research and 8 papers in Health Informatics. Recurrent topics in Upol Ehsan's work include Explainable Artificial Intelligence (XAI) (14 papers), Ethics and Social Impacts of AI (10 papers) and Artificial Intelligence in Healthcare and Education (8 papers). Upol Ehsan is often cited by papers focused on Explainable Artificial Intelligence (XAI) (14 papers), Ethics and Social Impacts of AI (10 papers) and Artificial Intelligence in Healthcare and Education (8 papers). Upol Ehsan collaborates with scholars based in United States, Germany and Austria. Upol Ehsan's co-authors include Mark Riedl, Larry Chan, Brent Harrison, Pradyumna Tambwekar, Q. Vera Liao, Philipp Wintersberger, Andreas Riener, Hal Daumé, Munmun De Choudhury and Koustuv Saha and has published in prestigious journals such as Neural Computing and Applications, First Monday and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Upol Ehsan

19 papers receiving 496 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Upol Ehsan United States	12	319	152	98	53	45	21	508
Harmanpreet Kaur United States	10	230 0.7×	110 0.7×	45 0.5×	59 1.1×	52 1.2×	35	547
Zana Buçinca United States	6	279 0.9×	185 1.2×	106 1.1×	24 0.5×	19 0.4×	12	471
Memo Akten United Kingdom	3	125 0.4×	62 0.4×	50 0.5×	47 0.9×	55 1.2×	4	370
Vanessa Echeverría Australia	17	186 0.6×	53 0.3×	56 0.6×	52 1.0×	106 2.4×	60	791
Hariharan Subramonyam United States	11	108 0.3×	126 0.8×	25 0.3×	98 1.8×	78 1.7×	22	371
Martin Schuessler Germany	6	164 0.5×	117 0.8×	43 0.4×	66 1.2×	75 1.7×	10	330
Mohammad Amin Kuhail United Arab Emirates	11	407 1.3×	32 0.2×	125 1.3×	59 1.1×	42 0.9×	38	720
Hope Schroeder United States	4	114 0.4×	58 0.4×	52 0.5×	33 0.6×	40 0.9×	10	347
Seongyong Lee South Korea	12	380 1.2×	30 0.2×	191 1.9×	38 0.7×	30 0.7×	46	930
Valdemar Danry United States	8	106 0.3×	40 0.3×	34 0.3×	70 1.3×	45 1.0×	19	364

Countries citing papers authored by Upol Ehsan

Since Specialization

Citations

This map shows the geographic impact of Upol Ehsan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Upol Ehsan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Upol Ehsan more than expected).

Fields of papers citing papers by Upol Ehsan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Upol Ehsan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Upol Ehsan. The network helps show where Upol Ehsan may publish in the future.

Co-authorship network of co-authors of Upol Ehsan

This figure shows the co-authorship network connecting the top 25 collaborators of Upol Ehsan. A scholar is included among the top collaborators of Upol Ehsan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Upol Ehsan. Upol Ehsan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Daly, Elizabeth, et al.. (2026). MIRAGE: Misleading Impacts Resulting from AI Generated Explanations (Workshop). 253–255.

Ehsan, Upol, Elizabeth Anne Watkins, Philipp Wintersberger, et al.. (2025). New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. 1–6. 3 indexed citations

Singh, Madhuri, et al.. (2025). Experiential Explanations for Reinforcement Learning. Neural Computing and Applications. 37(26). 22255–22285.

Ehsan, Upol, Samir Passi, Q. Vera Liao, et al.. (2024). The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. 1–32. 26 indexed citations

Ehsan, Upol, Q. Vera Liao, Samir Passi, Mark Riedl, & Hal Daumé. (2024). Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–29. 5 indexed citations

Ehsan, Upol, Elizabeth Anne Watkins, Philipp Wintersberger, et al.. (2024). Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). VBN Forskningsportal (Aalborg Universitet). 1–6. 8 indexed citations

Ehsan, Upol & Mark Riedl. (2024). Explainability pitfalls: Beyond dark patterns in explainable AI. Patterns. 5(6). 100971–100971. 12 indexed citations

Ehsan, Upol & Mark Riedl. (2024). Social construction of XAI: Do we need one definition to rule them all?. Patterns. 5(2). 100926–100926. 2 indexed citations

Young, Meg, et al.. (2024). Participation versus scale: Tensions in the practical demands on participatory AI. First Monday. 9 indexed citations

10.

Ehsan, Upol, Koustuv Saha, Munmun De Choudhury, & Mark Riedl. (2023). Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW1). 1–32. 35 indexed citations

11.

Ehsan, Upol, Philipp Wintersberger, Elizabeth Anne Watkins, et al.. (2023). Human-Centered Explainable AI (HCXAI): Coming of Age. 1–7. 14 indexed citations

12.

Ehsan, Upol, Ranjit Singh, Jacob Metcalf, & Mark Riedl. (2022). The Algorithmic Imprint. arXiv (Cornell University). 1305–1317. 19 indexed citations

13.

Ehsan, Upol, Philipp Wintersberger, Q. Vera Liao, et al.. (2021). Operationalizing Human-Centered Perspectives in Explainable AI. 1–6. 59 indexed citations

14.

Ehsan, Upol, et al.. (2020). Again, Together: Socially Reliving Virtual Reality Experiences When Separated. 1–12. 36 indexed citations

15.

Ehsan, Upol, Pradyumna Tambwekar, Larry Chan, Brent Harrison, & Mark Riedl. (2019). Automated rationale generation. Zenodo (CERN European Organization for Nuclear Research). 263–274. 126 indexed citations

16.

Ehsan, Upol, et al.. (2019). RelivelnVR: Capturing and Reliving Virtual Reality Experiences Together. 1217–1218. 4 indexed citations

17.

Ehsan, Upol, Brent Harrison, Larry Chan, & Mark Riedl. (2018). Rationalization. 81–87. 60 indexed citations

18.

Ehsan, Upol, Nazmus Sakib, Tanjir Rashid Soron, et al.. (2018). Confronting Autism in Urban Bangladesh: Unpacking Infrastructural and Cultural Challenges. EAI Endorsed Transactions on Pervasive Health and Technology. 4(14). e5–e5. 13 indexed citations

19.

Ehsan, Upol, Pradyumna Tambwekar, Larry Chan, Brent Harrison, & Mark Riedl. (2018). Learning to Generate Natural Language Rationales for Game Playing Agents. UKnowledge (University of Kentucky). 2282(122). 1. 2 indexed citations

20.

Wong-Villacrés, Marisol, et al.. (2017). Design Guidelines for Parent-School Technologies to Support the Ecology of Parental Engagement. 73–83. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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