Ankit Kumar
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Imbalanced Data Classification Techniques
- Speech and dialogue systems
Papers in
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- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 3
- Natural Language Processing Techniques 2
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- Biomedical Text Mining and Ontologies 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Asif Ekbal (3 shared papers)Pushpak Bhattacharyya (3 shared papers)Sriparna Saha (2 shared papers)Shweta Yadav (1 shared paper)Mauajama Firdaus (1 shared paper)Dinesh Vij (1 shared paper)Punam Bedi (1 shared paper)Richa Sharma (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)Molecular Physics (1 paper)Journal of Physics Conference Series (1 paper)Digital WPI (1 paper)Engineering Technology & Applied Science Research (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Ankit Kumar
11 papers receiving 130 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 101
- Health Informatics 2
- Health Information Management 5
- Computer Vision and Pattern Recognition 13
- Information Systems 14
Countries citing papers authored by Ankit Kumar
This map shows the geographic impact of Ankit Kumar'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 Ankit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Kumar more than expected).
Fields of papers citing papers by Ankit Kumar
This network shows the impact of papers produced by Ankit Kumar. 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 Ankit Kumar. The network helps show where Ankit Kumar may publish in the future.
Co-authors
The 19 scholars most cited alongside Ankit Kumar, 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 | 52 | |
| 2 | 2019 | 31 | |
| 3 | 2021 | 19 | |
| 4 | A Recurrent Neural Network Architecture for De-identifying Clinical Records. | 2016 | 9 |
| 5 | 2024 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2018 | 4 | |
| 8 | Text Summarization using Natural Language Processing | 2018 | 3 |
| 9 | 2021 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 |
About Ankit Kumar
Ankit Kumar is a scholar working on Artificial Intelligence, Molecular Biology, Management Science and Operations Research, Control and Systems Engineering and Information Systems, having authored 14 papers that have together received 143 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (3 papers), Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Machine Learning in Bioinformatics (1 paper), Online Learning and Analytics (1 paper), Advanced Chemical Physics Studies (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (101 citations), Health Informatics (2 citations), Health Information Management (5 citations), Computer Vision and Pattern Recognition (13 citations) and Information Systems (14 citations). Ankit Kumar has collaborated with scholars based in India and United States. Frequent co-authors include Asif Ekbal, Pushpak Bhattacharyya, Sriparna Saha, Shweta Yadav, Mauajama Firdaus, Dinesh Vij, Punam Bedi, Richa Sharma, Reshma Rastogi and Arnav Kumar. Their work appears in journals such as Knowledge-Based Systems, Molecular Physics, Journal of Physics Conference Series, Digital WPI and Engineering Technology & Applied Science Research.
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.