Deepak Nathani
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
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- Data Quality and Management
Papers in
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Text Readability and Simplification 2
- Advanced Graph Neural Networks 2
- Machine Learning in Healthcare 1
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- Artificial Intelligence in Healthcare 1
- Co-authors
- Jatin Chauhan (2 shared papers)Manohar Kaul (2 shared papers)Charu Sharma (1 shared paper)Liangming Pan (2 shared papers)William Yang Wang (2 shared papers)Xinyi Wang (1 shared paper)Wenda Xu (1 shared paper)Partha Talukdar (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad) (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Deepak Nathani
6 papers receiving 402 citations
Deepak Nathani's Hit Papers
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 366
- Management Science and Operations Research 73
- Statistical and Nonlinear Physics 50
- Health Informatics 5
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Deepak Nathani
This map shows the geographic impact of Deepak Nathani'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 Deepak Nathani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Nathani more than expected).
Fields of papers citing papers by Deepak Nathani
This network shows the impact of papers produced by Deepak Nathani. 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 Deepak Nathani. The network helps show where Deepak Nathani may publish in the future.
Co-authors
The 13 scholars most cited alongside Deepak Nathani, 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 | Learning Attention-based Embeddings for Relation Prediction in
\nKnowledge Graphs Hit paper breakdown → | 2019 | 359 |
| 2 | 2024 | 27 | |
| 3 | 2020 | 12 | |
| 4 | 2022 | 8 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 2 |
About Deepak Nathani
Deepak Nathani is a scholar working on Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Infectious Diseases, having authored 6 papers that have together received 412 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Text Readability and Simplification (2 papers), Advanced Graph Neural Networks (2 papers), Multimodal Machine Learning Applications (1 paper), Artificial Intelligence in Healthcare (1 paper), Complex Network Analysis Techniques (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Artificial Intelligence (366 citations), Management Science and Operations Research (73 citations), Statistical and Nonlinear Physics (50 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (53 citations). Deepak Nathani has collaborated with scholars based in United States and India. Frequent co-authors include Jatin Chauhan, Manohar Kaul, Charu Sharma, Liangming Pan, William Yang Wang, Xinyi Wang, Wenda Xu, Partha Talukdar, Kalpesh Krishna and Xavier García. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 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.