Ravit Dotan
Impact in
- Safety Research top 2%
- Ethics and Social Impacts of AI
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Philosophy and History of Science 4
- Philosophy, Science, and History 3
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- Ethics and Social Impacts of AI 3
- Co-authors
- William S. Agnew (1 shared paper)Pratyusha Kalluri (1 shared paper)Dallas Card (1 shared paper)Abeba Birhane (1 shared paper)Lisa S. Parker (1 shared paper)Shamik Dasgupta (2 shared papers)Gil Luria (1 shared paper)Motahhare Eslami (1 shared paper)
- Journals
- Synthese (1 paper)Empirical Software Engineering (1 paper)Philosophy of Science (1 paper)ACM Conference on Fairness, Accountability, and Transparency (FAccT) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIrelandIsrael
In The Last Decade
Ravit Dotan
7 papers receiving 233 citations
Ravit Dotan's Hit Papers
Peers
Comparison fields: 5 of 55
- Safety Research 139
- Health Informatics 7
- Information Systems 32
- Artificial Intelligence 40
- History and Philosophy of Science 13
Countries citing papers authored by Ravit Dotan
This map shows the geographic impact of Ravit Dotan'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 Ravit Dotan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravit Dotan more than expected).
Fields of papers citing papers by Ravit Dotan
This network shows the impact of papers produced by Ravit Dotan. 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 Ravit Dotan. The network helps show where Ravit Dotan may publish in the future.
Co-authors
The 10 scholars most cited alongside Ravit Dotan, 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 | The Values Encoded in Machine Learning Research Hit paper breakdown → | 2022 | 200 |
| 2 | 2024 | 22 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 5 | |
| 5 | 2025 | 2 | |
| 6 | 2020 | 1 | |
| 7 | Current controversies in philosophy of science | 2021 | 1 |
| 8 | 2021 | 0 | |
| 9 | 2026 | 0 |
About Ravit Dotan
Ravit Dotan is a scholar working on History and Philosophy of Science, Safety Research, Philosophy, Strategy and Management and Information Systems, having authored 9 papers that have together received 245 indexed citations. Recurring topics across this work include Philosophy and History of Science (4 papers), Ethics and Social Impacts of AI (3 papers), Philosophy, Science, and History (3 papers), Epistemology, Ethics, and Metaphysics (2 papers), E-Government and Public Services (1 paper), Quantum Mechanics and Applications (1 paper), Public Procurement and Policy (1 paper) and Artificial Intelligence in Education (1 paper). The work is most often cited by research in Safety Research (139 citations), Health Informatics (7 citations), Information Systems (32 citations), Artificial Intelligence (40 citations) and History and Philosophy of Science (13 citations). Ravit Dotan has collaborated with scholars based in United States, Ireland and Israel. Frequent co-authors include William S. Agnew, Pratyusha Kalluri, Dallas Card, Abeba Birhane, Lisa S. Parker, Shamik Dasgupta, Gil Luria, Motahhare Eslami, Irit Hadar and Hoda Heidari. Their work appears in journals such as Synthese, Empirical Software Engineering, Philosophy of Science, ACM Conference on Fairness, Accountability, and Transparency (FAccT) and arXiv (Cornell University).
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.