Sumit Sanghai
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Topic Modeling
- Natural Language Processing Techniques
- Algorithms and Data Compression
- Sentiment Analysis and Opinion Mining
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 1
- Speech Recognition and Synthesis 1
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- Machine Learning in Bioinformatics 1
- Co-authors
- Michiel de Jong (3 shared papers)Yury Zemlyanskiy (3 shared papers)Joshua Ainslie (3 shared papers)James Lee-Thorp (2 shared papers)Yun-Hsuan Sung (1 shared paper)Santiago Ontañón (1 shared paper)Siddhartha Brahma (1 shared paper)David Uthus (1 shared paper)
- Partner nations
- United States
In The Last Decade
Sumit Sanghai
3 papers receiving 156 citations
Sumit Sanghai's Hit Papers
Peers
Comparison fields: 5 of 55
- Health Informatics 11
- Artificial Intelligence 87
- Hardware and Architecture 12
- Computational Mathematics 1
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Sumit Sanghai
This map shows the geographic impact of Sumit Sanghai'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 Sumit Sanghai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Sanghai more than expected).
Fields of papers citing papers by Sumit Sanghai
This network shows the impact of papers produced by Sumit Sanghai. 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 Sumit Sanghai. The network helps show where Sumit Sanghai may publish in the future.
Co-authors
The 13 scholars most cited alongside Sumit Sanghai, 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 | GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints Hit paper breakdown → | 2023 | 140 |
| 2 | 2023 | 18 | |
| 3 | 2023 | 5 |
About Sumit Sanghai
Sumit Sanghai is a scholar working on Artificial Intelligence, Molecular Biology, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 163 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Domain Adaptation and Few-Shot Learning (1 paper), Machine Learning in Bioinformatics (1 paper) and Speech Recognition and Synthesis (1 paper). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (87 citations), Hardware and Architecture (12 citations), Computational Mathematics (1 citation) and Computer Vision and Pattern Recognition (20 citations). Sumit Sanghai has collaborated with scholars based in United States. Frequent co-authors include Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, James Lee-Thorp, Yun-Hsuan Sung, Santiago Ontañón, Siddhartha Brahma, David Uthus, Mandy Guo and Yi Tay.
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.