Nitin Kohli
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Privacy-Preserving Technologies in Data 5
- Explainable Artificial Intelligence (XAI) 1
- Cryptography and Data Security 1
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- Privacy, Security, and Data Protection 3
- Information Systems Theories and Implementation 1
- Co-authors
- Deirdre K. Mulligan (3 shared papers)Cynthia Dwork (1 shared paper)Joshua A. Kroll (1 shared paper)Richmond Y. Wong (1 shared paper)Daniel N. Kluttz (1 shared paper)Sanjiv M. Narayan (1 shared paper)Megan Martin (1 shared paper)Joshua Blumenstock (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Scientific Reports (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)
- Partner nations
- United States
In The Last Decade
Nitin Kohli
7 papers receiving 192 citations
Peers
Comparison fields: 5 of 51
- Health Informatics 12
- Safety Research 63
- Artificial Intelligence 131
- Computer Science Applications 21
- Sociology and Political Science 61
Countries citing papers authored by Nitin Kohli
This map shows the geographic impact of Nitin Kohli'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 Nitin Kohli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Kohli more than expected).
Fields of papers citing papers by Nitin Kohli
This network shows the impact of papers produced by Nitin Kohli. 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 Nitin Kohli. The network helps show where Nitin Kohli may publish in the future.
Co-authors
The 9 scholars most cited alongside Nitin Kohli, 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 | 2019 | 87 | |
| 2 | 2019 | 58 | |
| 3 | 2018 | 18 | |
| 4 | 2018 | 17 | |
| 5 | 2025 | 11 | |
| 6 | 2023 | 3 | |
| 7 | 2024 | 2 |
About Nitin Kohli
Nitin Kohli is a scholar working on Artificial Intelligence, Sociology and Political Science, Safety Research, Computer Science Applications and Information Systems, having authored 7 papers that have together received 196 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Ethics and Social Impacts of AI (3 papers), Privacy, Security, and Data Protection (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Information Systems Theories and Implementation (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Cryptography and Data Security (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Health Informatics (12 citations), Safety Research (63 citations), Artificial Intelligence (131 citations), Computer Science Applications (21 citations) and Sociology and Political Science (61 citations). Nitin Kohli has collaborated with scholars based in United States. Frequent co-authors include Deirdre K. Mulligan, Cynthia Dwork, Joshua A. Kroll, Richmond Y. Wong, Daniel N. Kluttz, Sanjiv M. Narayan, Megan Martin, Joshua Blumenstock and Emily Aiken. Their work appears in journals such as npj Digital Medicine, Proceedings of the ACM on Human-Computer Interaction, Scientific Reports, Proceedings on Privacy Enhancing Technologies and DOAJ (DOAJ: Directory of Open Access Journals).
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.