Samir Passi
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 7
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- Explainable Artificial Intelligence (XAI) 3
- Co-authors
- Steven J. Jackson (2 shared papers)Phoebe Sengers (1 shared paper)Michael Müller (3 shared papers)Upol Ehsan (3 shared papers)Q. Vera Liao (2 shared papers)Mark Riedl (3 shared papers)Larry Chan (1 shared paper)Melanie Feinberg (1 shared paper)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)Big Data & Society (1 paper)ArXiv.org (1 paper)arXiv (Cornell University) (2 papers)CHI Conference on Human Factors in Computing Systems Extended Abstracts (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Samir Passi
9 papers receiving 330 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 31
- Safety Research 137
- Computer Science Applications 47
- Human-Computer Interaction 38
- Information Systems and Management 43
Countries citing papers authored by Samir Passi
This map shows the geographic impact of Samir Passi'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 Samir Passi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Passi more than expected).
Fields of papers citing papers by Samir Passi
This network shows the impact of papers produced by Samir Passi. 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 Samir Passi. The network helps show where Samir Passi may publish in the future.
Co-authors
The 24 scholars most cited alongside Samir Passi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 146 | |
| 2 | 2020 | 59 | |
| 3 | 2024 | 42 | |
| 4 | 2019 | 35 | |
| 5 | 2020 | 30 | |
| 6 | 2024 | 15 | |
| 7 | 2022 | 7 | |
| 8 | Mapping EINS - An exercise in mapping the Network of Excellence in Internet Science. | 2013 | 3 |
| 9 | 2025 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2026 | 0 | |
| 13 | 2025 | 0 |
About Samir Passi
Samir Passi is a scholar working on Safety Research, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Management Information Systems, having authored 13 papers that have together received 339 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (7 papers), Data Visualization and Analytics (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Big Data and Business Intelligence (2 papers), Research Data Management Practices (2 papers), Information Systems Theories and Implementation (2 papers) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Health Informatics (31 citations), Safety Research (137 citations), Computer Science Applications (47 citations), Human-Computer Interaction (38 citations) and Information Systems and Management (43 citations). Samir Passi has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Steven J. Jackson, Phoebe Sengers, Steven J. Jackson, Michael Müller, Upol Ehsan, Q. Vera Liao, Mark Riedl, Larry Chan, Melanie Feinberg and Timothy George. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Big Data & Society, ArXiv.org, arXiv (Cornell University) and CHI Conference on Human Factors in Computing Systems Extended Abstracts.
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.