Ankit Kumar
Impact in
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- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Imbalanced Data Classification Techniques
- Advanced Text Analysis Techniques
Papers in
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- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 4
- Natural Language Processing Techniques 2
- Text and Document Classification Technologies 2
- Explainable Artificial Intelligence (XAI) 2
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- Stock Market Forecasting Methods 2
- 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)Reshma Rastogi (2 shared papers)Richa Sharma (1 shared paper)Punam Bedi (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)Molecular Physics (1 paper)Advances in intelligent systems and computing (1 paper)Lecture notes in networks and systems (1 paper)Journal of Physics Conference Series (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Ankit Kumar
13 papers receiving 157 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 114
- Health Information Management 4
- Information Systems 17
- Health Informatics 1
- Computer Vision and Pattern Recognition 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 21 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 | 55 | |
| 2 | 2019 | 32 | |
| 3 | 2021 | 20 | |
| 4 | 2024 | 14 | |
| 5 | 2018 | 12 | |
| 6 | A Recurrent Neural Network Architecture for De-identifying Clinical Records. | 2016 | 10 |
| 7 | 2021 | 8 | |
| 8 | 2025 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2021 | 3 | |
| 11 | Text Summarization using Natural Language Processing | 2018 | 3 |
| 12 | 2021 | 2 | |
| 13 | 2020 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Ankit Kumar
Ankit Kumar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Accounting, Health Information Management and Computer Science Applications, having authored 17 papers that have together received 169 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (4 papers), Biomedical Text Mining and Ontologies (2 papers), Natural Language Processing Techniques (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Text and Document Classification Technologies (2 papers), Stock Market Forecasting Methods (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (114 citations), Health Information Management (4 citations), Information Systems (17 citations), Health Informatics (1 citation) and Computer Vision and Pattern Recognition (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, Reshma Rastogi, Richa Sharma, Punam Bedi, Dinesh Vij and Arnav Kumar. Their work appears in journals such as Knowledge-Based Systems, Molecular Physics, Advances in intelligent systems and computing, Lecture notes in networks and systems and Journal of Physics Conference Series.
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.