Rishabh Joshi
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Semantic Web and Ontologies 1
- Artificial Intelligence in Games 1
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- Masonry and Concrete Structural Analysis 2
- Co-authors
- Shikhar Vashishth (3 shared papers)Chiranjib Bhattacharyya (1 shared paper)Partha Talukdar (1 shared paper)Carolyn Penstein Rosé (2 shared papers)Sayan Ghosh (1 shared paper)Kamal Kumar (1 shared paper)Mohd Zain (2 shared papers)Ziwen Wang (1 shared paper)
- Journals
- Journal of Biomedical Informatics (1 paper)Materials Today Proceedings (2 papers)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the Australasian Computer Science Week Multiconference (1 paper)
- Partner nations
- IndiaUnited StatesCyprus
In The Last Decade
Rishabh Joshi
7 papers receiving 175 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 165
- General Social Sciences 4
- Management Science and Operations Research 13
- Computer Vision and Pattern Recognition 12
- Communication 4
Countries citing papers authored by Rishabh Joshi
This map shows the geographic impact of Rishabh Joshi'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 Rishabh Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Joshi more than expected).
Fields of papers citing papers by Rishabh Joshi
This network shows the impact of papers produced by Rishabh Joshi. 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 Rishabh Joshi. The network helps show where Rishabh Joshi may publish in the future.
Co-authors
The 23 scholars most cited alongside Rishabh Joshi, 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 | 2018 | 143 | |
| 2 | 2021 | 16 | |
| 3 | 2020 | 14 | |
| 4 | MedType: Improving Medical Entity Linking with Semantic Type Prediction. | 2020 | 7 |
| 5 | 2019 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 0 |
About Rishabh Joshi
Rishabh Joshi is a scholar working on Artificial Intelligence, Civil and Structural Engineering, Molecular Biology, Sociology and Political Science and Clinical Psychology, having authored 9 papers that have together received 190 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Biomedical Text Mining and Ontologies (2 papers), Masonry and Concrete Structural Analysis (2 papers), Structural Behavior of Reinforced Concrete (1 paper), Semantic Web and Ontologies (1 paper), Data Management and Algorithms (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Artificial Intelligence (165 citations), General Social Sciences (4 citations), Management Science and Operations Research (13 citations), Computer Vision and Pattern Recognition (12 citations) and Communication (4 citations). Rishabh Joshi has collaborated with scholars based in India, United States and Cyprus. Frequent co-authors include Shikhar Vashishth, Chiranjib Bhattacharyya, Partha Talukdar, Carolyn Penstein Rosé, Sayan Ghosh, Kamal Kumar, Mohd Zain, Ziwen Wang, Anders Drachen and Yue Cui. Their work appears in journals such as Journal of Biomedical Informatics, Materials Today Proceedings, Proceedings of the International AAAI Conference on Web and Social Media, arXiv (Cornell University) and Proceedings of the Australasian Computer Science Week Multiconference.
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.