Jatin Chauhan
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics top 10%
- Information Systems
- Co-authors
- Manohar KaulDeepak NathaniCharu SharmaBalaraman RavindranRishi SaketHiral ShahShashank SahuNitin Chaudhary
- Topics
- Advanced Graph Neural Networks (3 papers)Topic Modeling (2 papers)Imbalanced Data Classification Techniques (2 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchStatistical and Nonlinear Physics
- Journals
- Indian Journal of Sexually Transmitted Diseases and AIDSInternational Journal on Recent and Innovation Trends in Computing and CommunicationarXiv (Cornell University)
- Partner nations
- India
In The Last Decade
Jatin Chauhan
7 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 344
- Management Science and Operations Research 70
- Computer Vision and Pattern Recognition 52
- Statistical and Nonlinear Physics 50
- Information Systems 38
Countries citing papers authored by Jatin Chauhan
This map shows the geographic impact of Jatin Chauhan'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 Jatin Chauhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jatin Chauhan more than expected).
Fields of papers citing papers by Jatin Chauhan
This network shows the impact of papers produced by Jatin Chauhan. 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 Jatin Chauhan. The network helps show where Jatin Chauhan may publish in the future.
Co-authorship network of co-authors of Jatin Chauhan
This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Chauhan. A scholar is included among the top collaborators of Jatin Chauhan 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 Jatin Chauhan. Jatin Chauhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | Learning Attention-based Embeddings for Relation Prediction in
\nKnowledge Graphsbreakdown → | 351 |
About Jatin Chauhan
Jatin Chauhan is a scholar working on Artificial Intelligence, Health Information Management and Signal Processing, having authored 10 papers that have together received 376 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (3 papers), Topic Modeling (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (344 citations), Management Science and Operations Research (70 citations) and Statistical and Nonlinear Physics (50 citations). Jatin Chauhan has collaborated with scholars based in India. Frequent co-authors include Manohar Kaul, Deepak Nathani, Charu Sharma, Balaraman Ravindran, Rishi Saket, Hiral Shah, Shashank Sahu, Nitin Chaudhary, Hiral Shah and Prateek Jain. Their work appears in journals such as Indian Journal of Sexually Transmitted Diseases and AIDS, International Journal on Recent and Innovation Trends in Computing and Communication and arXiv (Cornell University).
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.