Ravi Shroff
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Crime Patterns and Interventions 4
- Criminal Justice and Corrections Analysis 2
- Names, Identity, and Discrimination Research 2
-
- Law, Economics, and Judicial Systems 2
- Co-authors
- Sharad Goel (8 shared papers)Justin M. Rao (3 shared papers)Daniel G. Goldstein (1 shared paper)Jennifer L. Skeem (1 shared paper)Guillaume Basse (1 shared paper)Christopher Slobogin (1 shared paper)Jennifer Hill (1 shared paper)Eric S. Jackson (2 shared papers)
- Journals
- New Criminal Law Review (1 paper)Judgment and Decision Making (1 paper)Social Science & Medicine (1 paper)Big Data (1 paper)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ravi Shroff
16 papers receiving 276 citations
Peers
Comparison fields: 5 of 62
- Safety Research 46
- General Decision Sciences 10
- Sociology and Political Science 157
- Political Science and International Relations 82
- Health 24
Countries citing papers authored by Ravi Shroff
This map shows the geographic impact of Ravi Shroff'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 Ravi Shroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Shroff more than expected).
Fields of papers citing papers by Ravi Shroff
This network shows the impact of papers produced by Ravi Shroff. 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 Ravi Shroff. The network helps show where Ravi Shroff may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Shroff, 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 | 2016 | 145 | |
| 2 | 2015 | 27 | |
| 3 | 2020 | 26 | |
| 4 | 2017 | 16 | |
| 5 | 2016 | 15 | |
| 6 | 2022 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2017 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 |
About Ravi Shroff
Ravi Shroff is a scholar working on Sociology and Political Science, Economics and Econometrics, Clinical Psychology, Artificial Intelligence and Political Science and International Relations, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (4 papers), Advanced Causal Inference Techniques (2 papers), Law, Economics, and Judicial Systems (2 papers), Criminal Justice and Corrections Analysis (2 papers), Names, Identity, and Discrimination Research (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Stuttering Research and Treatment (2 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (1 paper). The work is most often cited by research in Safety Research (46 citations), General Decision Sciences (10 citations), Sociology and Political Science (157 citations), Political Science and International Relations (82 citations) and Health (24 citations). Ravi Shroff has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sharad Goel, Justin M. Rao, Daniel G. Goldstein, Jennifer L. Skeem, Guillaume Basse, Christopher Slobogin, Jennifer Hill, Eric S. Jackson, Manuela Veloso and David Alan Sklansky. Their work appears in journals such as New Criminal Law Review, Judgment and Decision Making, Social Science & Medicine, Big Data and Journal of the Royal Statistical Society Series A (Statistics in Society).
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.