Abhinav Rastogi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Public Health, Environmental and Occupational Health
- Information Systems
- Pediatrics, Perinatology and Child Health
- Co-authors
- Xiaoxue ZangRaghav GuptaJindong ChenChristopher PottsSamuel R. BowmanJon GauthierChristopher D. ManningMihir Kale
- Topics
- Topic Modeling (9 papers)Speech and dialogue systems (7 papers)Natural Language Processing Techniques (6 papers)
- Journals
- Pharmacology & TherapeuticsComptes Rendus MécaniqueProceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Abhinav Rastogi
14 papers receiving 384 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 314
- Computer Vision and Pattern Recognition 71
- Public Health, Environmental and Occupational Health 40
- Information Systems 28
- Pediatrics, Perinatology and Child Health 18
Countries citing papers authored by Abhinav Rastogi
This map shows the geographic impact of Abhinav Rastogi'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 Abhinav Rastogi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Rastogi more than expected).
Fields of papers citing papers by Abhinav Rastogi
This network shows the impact of papers produced by Abhinav Rastogi. 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 Abhinav Rastogi. The network helps show where Abhinav Rastogi may publish in the future.
Co-authorship network of co-authors of Abhinav Rastogi
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Rastogi. A scholar is included among the top collaborators of Abhinav Rastogi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhinav Rastogi. Abhinav Rastogi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 101 | |
| 9 | 32 | |
| 10 | 23 | |
| 11 | 139 | |
| 12 | 4 | |
| 13 | 60 | |
| 14 | 13 |
About Abhinav Rastogi
Abhinav Rastogi is a scholar working on Artificial Intelligence, Information Systems and Radiation, having authored 14 papers that have together received 409 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Speech and dialogue systems (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (314 citations), Computer Vision and Pattern Recognition (71 citations) and General Social Sciences (5 citations). Abhinav Rastogi has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Xiaoxue Zang, Raghav Gupta, Jindong Chen, Christopher Potts, Samuel R. Bowman, Jon Gauthier, Christopher D. Manning, Mihir Kale, Femi Oyebode and Dilek Hakkani‐Tür. Their work appears in journals such as Pharmacology & Therapeutics, Comptes Rendus Mécanique and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.