Raghav Gupta
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Abhinav RastogiChristopher PottsSamuel R. BowmanJon GauthierChristopher D. ManningKrishnendu ChatterjeeMartin ChmelíkDilek Hakkani‐Tür
- Topics
- Topic Modeling (6 papers)Speech and dialogue systems (4 papers)Natural Language Processing Techniques (4 papers)
- Journals
- Artificial IntelligenceSAE technical papers on CD-ROM/SAE technical paper seriesACM SIGMETRICS Performance Evaluation Review
- Partner nations
- United StatesIndiaAustria
In The Last Decade
Raghav Gupta
16 papers receiving 327 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 241
- Computer Vision and Pattern Recognition 77
- Electrical and Electronic Engineering 66
- Hardware and Architecture 49
- Computational Theory and Mathematics 47
Countries citing papers authored by Raghav Gupta
This map shows the geographic impact of Raghav Gupta'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 Raghav Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghav Gupta more than expected).
Fields of papers citing papers by Raghav Gupta
This network shows the impact of papers produced by Raghav Gupta. 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 Raghav Gupta. The network helps show where Raghav Gupta may publish in the future.
Co-authorship network of co-authors of Raghav Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Raghav Gupta. A scholar is included among the top collaborators of Raghav Gupta 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 Raghav Gupta. Raghav Gupta 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 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 32 | |
| 7 | 40 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 23 | |
| 11 | 17 | |
| 12 | 139 | |
| 13 | 20 | |
| 14 | 12 | |
| 15 | 28 | |
| 16 | A Review of Cyber Security Techniques for Critical Infrastructure Protection | 2 |
About Raghav Gupta
Raghav Gupta is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 16 papers that have together received 347 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Speech and dialogue systems (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (241 citations), Hardware and Architecture (49 citations) and Computer Vision and Pattern Recognition (77 citations). Raghav Gupta has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Abhinav Rastogi, Christopher Potts, Samuel R. Bowman, Jon Gauthier, Christopher D. Manning, Krishnendu Chatterjee, Martin Chmelík, Dilek Hakkani‐Tür, Mike O’Connor and Niladrish Chatterjee. Their work appears in journals such as Artificial Intelligence, SAE technical papers on CD-ROM/SAE technical paper series and ACM SIGMETRICS Performance Evaluation Review.
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.