Nitin Kohli: h-index, Total Citations, and Citation Map
Nitin Kohli's h-index is 11 (12 i10-index, 865+ total citations across 21+ publications) according to Google Scholar as of June 2026. Nitin Kohli is affiliated with UC Berkeley.
Nitin Kohli is a researcher affiliated with UC Berkeley, specializing in Privacy, Algorithms, Mechanism Design. Their work has been cited 865 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Nitin Kohli's Citation Metrics
Bibliometric impact based on 21 indexed publications.
- H-Index
- 11
- i10-Index
- 12
- Total Citations
- 865
- Citing Countries
- 9
As of June 2026.
Nitin Kohli has an h-index of 11 and 865 total citations across 21 publications, with research cited by institutions in 9 countries.
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Differential Privacy in Practice: Expose your Epsilons!
2019300
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Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher advanced differential privacy practice by exposing epsilon values, a seminal contribution evidenced by nearly 300 citations and widespread independent adoption.
The researcher advanced the theoretical understanding of bias in automated decision-making by integrating epistemological perspectives and dynamic analysis into the discourse.
The researcher developed Epsilon Voting, a mechanism design framework for selecting differential privacy parameters, establishing a foundational approach to balancing privacy and utility in data analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Nitin Kohli's research
Nitin Kohli is a researcher in Privacy, Algorithms and Mechanism Design at UC Berkeley. Their work has been cited 865 times across 21 publications (h-index 11), according to Google Scholar.
Their most-cited work, “Differential Privacy in Practice: Expose your Epsilons!” (2019), has accumulated 300 citations. Other influential works include “This thing called fairness: Disciplinary confusion realizing a value in technology” (2019) with 196 citations and “Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions” (2020) with 94 citations.
Citations of Nitin Kohli's research come primarily from United States, Netherlands and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
