Ravi Shroff
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Crime Patterns and Interventions 4
- Names, Identity, and Discrimination Research 2
- Criminal Justice and Corrections Analysis 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)Christopher Slobogin (1 shared paper)Guillaume Basse (1 shared paper)Jennifer Hill (1 shared paper)Liina Pylkkänen (1 shared paper)
- Journals
- Big Data (1 paper)Judgment and Decision Making (1 paper)New Criminal Law Review (1 paper)Social Science & Medicine (1 paper)The Annals of Applied Statistics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Ravi Shroff
16 papers receiving 269 citations
Peers
Comparison fields: 5 of 62
- General Decision Sciences 10
- Safety Research 45
- Sociology and Political Science 158
- Political Science and International Relations 83
- Health 27
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 | 144 | |
| 2 | 2020 | 26 | |
| 3 | 2015 | 26 | |
| 4 | 2017 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2016 | 14 | |
| 7 | 2018 | 12 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2015 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2017 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 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 286 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (4 papers), Law, Economics, and Judicial Systems (2 papers), Neurobiology of Language and Bilingualism (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Advanced Causal Inference Techniques (2 papers), Names, Identity, and Discrimination Research (2 papers), Criminal Justice and Corrections Analysis (2 papers) and Stuttering Research and Treatment (2 papers). The work is most often cited by research in General Decision Sciences (10 citations), Safety Research (45 citations), Sociology and Political Science (158 citations), Political Science and International Relations (83 citations) and Health (27 citations). Ravi Shroff has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sharad Goel, Justin M. Rao, Daniel G. Goldstein, Jennifer L. Skeem, Christopher Slobogin, Guillaume Basse, Jennifer Hill, Liina Pylkkänen, M. Florencia Assaneo and Richard Wang. Their work appears in journals such as Big Data, Judgment and Decision Making, New Criminal Law Review, Social Science & Medicine and The Annals of Applied Statistics.
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.