Sunipa Dev
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in ⓘ
-
- Natural Language Processing Techniques 7
- Topic Modeling 6
- Hate Speech and Cyberbullying Detection 4
- Text Readability and Simplification 3
- Explainable Artificial Intelligence (XAI) 1
- Semantic Web and Ontologies 1
- Co-authors
- Kai-Wei Chang (5 shared papers)Jeff M. Phillips (4 shared papers)Robin Brewer (1 shared paper)Emily Denton (2 shared papers)Alex Taylor (1 shared paper)Shaun K. Kane (1 shared paper)Vivek Srikumar (3 shared papers)Tao Li (1 shared paper)
- Journals
- ACM Transactions on Interactive Intelligent Systems (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sunipa Dev
16 papers receiving 238 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 18
- Safety Research 56
- Artificial Intelligence 172
- General Social Sciences 12
- Human Factors and Ergonomics 5
Countries citing papers authored by Sunipa Dev
This map shows the geographic impact of Sunipa Dev'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 Sunipa Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunipa Dev more than expected).
Fields of papers citing papers by Sunipa Dev
This network shows the impact of papers produced by Sunipa Dev. 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 Sunipa Dev. The network helps show where Sunipa Dev may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunipa Dev, 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 | 2021 | 79 | |
| 2 | 2023 | 67 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 20 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2016 | 0 |
About Sunipa Dev
Sunipa Dev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, General Health Professions and Sociology and Political Science, having authored 18 papers that have together received 249 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Hate Speech and Cyberbullying Detection (4 papers), Text Readability and Simplification (3 papers), Software Engineering Research (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), Hermeneutics and Narrative Identity (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Health Informatics (18 citations), Safety Research (56 citations), Artificial Intelligence (172 citations), General Social Sciences (12 citations) and Human Factors and Ergonomics (5 citations). Sunipa Dev has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Kai-Wei Chang, Jeff M. Phillips, Robin Brewer, Emily Denton, Alex Taylor, Shaun K. Kane, Vivek Srikumar, Tao Li, Akihiro Nishi and Nanyun Peng. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Edinburgh Research Explorer (University of Edinburgh), arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.