Varun Malik
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Data Stream Mining Techniques 5
-
- Data Mining Algorithms and Applications 4
- Recommender Systems and Techniques 3
- Co-authors
- Ruchi Mittal (33 shared papers)S. Vikram Singh (4 shared papers)Jaiteg Singh (13 shared papers)Amit Mittal (10 shared papers)John Martin (6 shared papers)S. B. Goyal (5 shared papers)Fathe Jeribi (3 shared papers)Ruchi Mittal (1 shared paper)
- Journals
- IEEE Access (5 papers)Frontiers in Plant Science (2 papers)Quantum Machine Intelligence (1 paper)The Imaging Science Journal (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- IndiaSaudi ArabiaNepal
In The Last Decade
Varun Malik
37 papers receiving 334 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 7
- Health Information Management 23
- Artificial Intelligence 90
- Computer Vision and Pattern Recognition 56
- Information Systems 58
Countries citing papers authored by Varun Malik
This map shows the geographic impact of Varun Malik'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 Malik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Malik more than expected).
Fields of papers citing papers by Varun Malik
This network shows the impact of papers produced by Varun Malik. 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 Malik. The network helps show where Varun Malik may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun Malik, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2022 | 36 | |
| 3 | 2022 | 31 | |
| 4 | 2023 | 26 | |
| 5 | 2021 | 24 | |
| 6 | 2022 | 23 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 5 |
About Varun Malik
Varun Malik is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Marketing and Neurology, having authored 47 papers that have together received 343 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (5 papers), Brain Tumor Detection and Classification (4 papers), Data Mining Algorithms and Applications (4 papers), Online Learning and Analytics (4 papers), Customer churn and segmentation (4 papers), Remote Sensing in Agriculture (3 papers), Artificial Intelligence in Healthcare (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Health Informatics (7 citations), Health Information Management (23 citations), Artificial Intelligence (90 citations), Computer Vision and Pattern Recognition (56 citations) and Information Systems (58 citations). Varun Malik has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include Ruchi Mittal, S. Vikram Singh, Jaiteg Singh, Amit Mittal, John Martin, S. B. Goyal, Fathe Jeribi, Ruchi Mittal, Amandeep Kaur and Ajay Rana. Their work appears in journals such as IEEE Access, Frontiers in Plant Science, Quantum Machine Intelligence, The Imaging Science Journal and Multimedia Tools and Applications.
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.