Manish Raghavan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 7
-
- Ethics and Social Impacts of AI 9
- Co-authors
- Jon Kleinberg (14 shared papers)Sendhil Mullainathan (5 shared papers)Solon Barocas (4 shared papers)Karen Levy (2 shared papers)Geoff Pleiss (1 shared paper)Kilian Q. Weinberger (1 shared paper)Felix Wu (1 shared paper)Nilesh Dalvi (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Perspectives on Psychological Science (1 paper)Management Science (1 paper)SIAM Journal on Computing (1 paper)Nature Human Behaviour (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Manish Raghavan
26 papers receiving 602 citations
Manish Raghavan's Hit Papers
Peers
Comparison fields: 5 of 90
- Health Informatics 57
- Safety Research 345
- Artificial Intelligence 306
- General Decision Sciences 12
- Management Science and Operations Research 64
Countries citing papers authored by Manish Raghavan
This map shows the geographic impact of Manish Raghavan'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 Manish Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Raghavan more than expected).
Fields of papers citing papers by Manish Raghavan
This network shows the impact of papers produced by Manish Raghavan. 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 Manish Raghavan. The network helps show where Manish Raghavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Raghavan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inherent Trade-Offs in the Fair Determination of Risk Scores Hit paper breakdown → | 2017 | 262 |
| 2 | 2017 | 91 | |
| 3 | 2019 | 75 | |
| 4 | 2021 | 44 | |
| 5 | 2022 | 33 | |
| 6 | 2023 | 20 | |
| 7 | 2014 | 18 | |
| 8 | 2018 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2019 | 2 |
About Manish Raghavan
Manish Raghavan is a scholar working on Artificial Intelligence, Safety Research, Management Science and Operations Research, Sociology and Political Science and Information Systems, having authored 28 papers that have together received 632 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (9 papers), Explainable Artificial Intelligence (XAI) (7 papers), Decision-Making and Behavioral Economics (3 papers), Digital Economy and Work Transformation (3 papers), Spam and Phishing Detection (2 papers), Hydrological Forecasting Using AI (2 papers), Auction Theory and Applications (2 papers) and Consumer Market Behavior and Pricing (2 papers). The work is most often cited by research in Health Informatics (57 citations), Safety Research (345 citations), Artificial Intelligence (306 citations), General Decision Sciences (12 citations) and Management Science and Operations Research (64 citations). Manish Raghavan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jon Kleinberg, Sendhil Mullainathan, Solon Barocas, Karen Levy, Geoff Pleiss, Kilian Q. Weinberger, Felix Wu, Nilesh Dalvi, Philip Bohannon and J. Ludwig. Their work appears in journals such as Communications of the ACM, Perspectives on Psychological Science, Management Science, SIAM Journal on Computing and Nature Human Behaviour.
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.