Sumit Negi
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Algorithms and Data Compression
Papers in
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- Natural Language Processing Techniques 11
- Topic Modeling 8
- Algorithms and Data Compression 5
- Text and Document Classification Technologies 4
- Advanced Text Analysis Techniques 3
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- Image Retrieval and Classification Techniques 4
- Co-authors
- Tanveer A. Faruquie (7 shared papers)L. Venkata Subramaniam (8 shared papers)Santanu Chaudhury (6 shared papers)Om Deshmukh (1 shared paper)Sachindra Joshi (3 shared papers)Shourya Roy (3 shared papers)Raghu Krishnapuram (2 shared papers)Mukesh Mohania (4 shared papers)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (1 paper)Studies in health technology and informatics (1 paper)Movebank (1 paper)Empirical Methods in Natural Language Processing (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Sumit Negi
27 papers receiving 415 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 91
- Artificial Intelligence 274
- Computational Mathematics 4
- Information Systems 150
- Computer Vision and Pattern Recognition 125
Countries citing papers authored by Sumit Negi
This map shows the geographic impact of Sumit Negi'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 Negi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Negi more than expected).
Fields of papers citing papers by Sumit Negi
This network shows the impact of papers produced by Sumit Negi. 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 Negi. The network helps show where Sumit Negi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumit Negi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 95 | |
| 2 | 2003 | 59 | |
| 3 | 2009 | 57 | |
| 4 | 2009 | 52 | |
| 5 | 2013 | 34 | |
| 6 | 2014 | 23 | |
| 7 | Handling Noisy Queries in Cross Language FAQ Retrieval | 2010 | 18 |
| 8 | 2016 | 15 | |
| 9 | 2009 | 12 | |
| 10 | 2015 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2008 | 8 | |
| 13 | 2009 | 7 | |
| 14 | 2003 | 7 | |
| 15 | 2008 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2011 | 4 | |
| 20 | 2012 | 3 |
About Sumit Negi
Sumit Negi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Signal Processing, having authored 29 papers that have together received 446 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (8 papers), Algorithms and Data Compression (5 papers), Image Retrieval and Classification Techniques (4 papers), Text and Document Classification Technologies (4 papers), Advanced Database Systems and Queries (3 papers), Web Data Mining and Analysis (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Signal Processing (91 citations), Artificial Intelligence (274 citations), Computational Mathematics (4 citations), Information Systems (150 citations) and Computer Vision and Pattern Recognition (125 citations). Sumit Negi has collaborated with scholars based in India, United States and France. Frequent co-authors include Tanveer A. Faruquie, L. Venkata Subramaniam, Santanu Chaudhury, Om Deshmukh, Sachindra Joshi, Shourya Roy, Raghu Krishnapuram, Mukesh Mohania, L. V. Subramaniam and Himanshu Gupta. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Studies in health technology and informatics, Movebank, Empirical Methods in Natural Language Processing and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.