Upol Ehsan
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in ⓘ
-
- Explainable Artificial Intelligence (XAI) 14
- Topic Modeling 5
- Reinforcement Learning in Robotics 3
-
- Ethics and Social Impacts of AI 10
- Co-authors
- Mark Riedl (14 shared papers)Larry Chan (4 shared papers)Brent Harrison (3 shared papers)Pradyumna Tambwekar (2 shared papers)Q. Vera Liao (4 shared papers)Philipp Wintersberger (5 shared papers)Andreas Riener (5 shared papers)Munmun De Choudhury (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (2 papers)Patterns (2 papers)First Monday (1 paper)Neural Computing and Applications (1 paper)EAI Endorsed Transactions on Pervasive Health and Technology (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Upol Ehsan
19 papers receiving 496 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 98
- Safety Research 152
- Artificial Intelligence 319
- Human-Computer Interaction 53
- Information Systems and Management 33
Countries citing papers authored by Upol Ehsan
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
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-authors
The 25 scholars most cited alongside Upol Ehsan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2018 | 60 | |
| 3 | 2021 | 59 | |
| 4 | 2022 | 52 | |
| 5 | 2020 | 36 | |
| 6 | 2023 | 35 | |
| 7 | 2024 | 26 | |
| 8 | 2017 | 23 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | Learning to Generate Natural Language Rationales for Game Playing Agents | 2018 | 2 |
| 20 | 2026 | 0 |
About Upol Ehsan
Upol Ehsan is a scholar working on Artificial Intelligence, Safety Research, Health Informatics, Computer Vision and Pattern Recognition and Education, having authored 21 papers that have together received 508 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (14 papers), Ethics and Social Impacts of AI (10 papers), Artificial Intelligence in Healthcare and Education (8 papers), Topic Modeling (5 papers), Reinforcement Learning in Robotics (3 papers), Virtual Reality Applications and Impacts (2 papers), Visual Attention and Saliency Detection (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Health Informatics (98 citations), Safety Research (152 citations), Artificial Intelligence (319 citations), Human-Computer Interaction (53 citations) and Information Systems and Management (33 citations). Upol Ehsan has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Mark Riedl, Larry Chan, Brent Harrison, Pradyumna Tambwekar, Q. Vera Liao, Philipp Wintersberger, Andreas Riener, Munmun De Choudhury, Elizabeth Anne Watkins and Hal Daumé. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Patterns, First Monday, Neural Computing and Applications and EAI Endorsed Transactions on Pervasive Health and Technology.
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.