Varun Kumar
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Speech Recognition and Synthesis 3
- Imbalanced Data Classification Techniques 2
- Computational Physics and Python Applications 1
- Co-authors
- Anupama Chadha (1 shared paper)Aram Galstyan (3 shared papers)Yada Pruksachatkun (2 shared papers)Kai-Wei Chang (3 shared papers)Rahul Gupta (2 shared papers)Yang Cao (1 shared paper)Parminder Bhatia (3 shared papers)Philip Resnik (1 shared paper)
- Journals
- Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)International Journal of Advanced Research (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)Journal of scientific research (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Varun Kumar
17 papers receiving 165 citations
Peers
Comparison fields: 5 of 47
- Computer Science Applications 26
- Software 16
- Artificial Intelligence 119
- Health Informatics 5
- Health Information Management 14
Countries citing papers authored by Varun Kumar
This map shows the geographic impact of Varun 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 Varun Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Kumar more than expected).
Fields of papers citing papers by Varun Kumar
This network shows the impact of papers produced by Varun 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 Varun Kumar. The network helps show where Varun Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun 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 | Mining Association Rules in Student's Assessment Data | 2012 | 31 |
| 2 | 2022 | 30 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2023 | 14 | |
| 7 | Outlier Mining in Medical Databases: An Application of Data Mining in Health Care Management to Detect Abnormal Values Presented In Medical Databases | 2008 | 13 |
| 8 | 2016 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2024 | 0 |
About Varun Kumar
Varun Kumar is a scholar working on Artificial Intelligence, Information Systems, General Health Professions, Computer Vision and Pattern Recognition and Communication, having authored 19 papers that have together received 179 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (3 papers), Imbalanced Data Classification Techniques (2 papers), Interpreting and Communication in Healthcare (2 papers), Online Learning and Analytics (1 paper), Face and Expression Recognition (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Computer Science Applications (26 citations), Software (16 citations), Artificial Intelligence (119 citations), Health Informatics (5 citations) and Health Information Management (14 citations). Varun Kumar has collaborated with scholars based in United States and India. Frequent co-authors include Anupama Chadha, Aram Galstyan, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Yang Cao, Parminder Bhatia, Philip Resnik, George Em Karniadakis and Ayah Zirikly. Their work appears in journals such as Findings of the Association for Computational Linguistics: ACL 2022, International Journal of Advanced Research, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and Journal of scientific 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.