Varun Sapra
Impact in
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- Artificial Intelligence in Healthcare
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
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- Caching and Content Delivery 6
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- Machine Learning in Healthcare 2
- Co-authors
- Abram Hindle (6 shared papers)Akashdeep Bhardwaj (5 shared papers)Shaiful Chowdhury (4 shared papers)Thompson Stephan (1 shared paper)Majid Nour (1 shared paper)Shamik Tiwari (1 shared paper)Deepika Koundal (1 shared paper)Anurag Jain (1 shared paper)
- Journals
- Computers & Electrical Engineering (1 paper)Alexandria Engineering Journal (1 paper)Expert Systems with Applications (1 paper)Materials Today Proceedings (1 paper)Computer Fraud & Security (1 paper)
- Partner nations
- IndiaCanadaSaudi Arabia
In The Last Decade
Varun Sapra
23 papers receiving 211 citations
Peers
Comparison fields: 5 of 66
- Health Information Management 33
- Information Systems 66
- Computer Networks and Communications 60
- Health Informatics 3
- Medical Laboratory Technology 3
Countries citing papers authored by Varun Sapra
This map shows the geographic impact of Varun Sapra'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 Sapra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varun Sapra more than expected).
Fields of papers citing papers by Varun Sapra
This network shows the impact of papers produced by Varun Sapra. 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 Sapra. The network helps show where Varun Sapra may publish in the future.
Co-authors
The 25 scholars most cited alongside Varun Sapra, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2023 | 29 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 25 | |
| 5 | 2016 | 24 | |
| 6 | 2020 | 9 | |
| 7 | 2015 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 1 |
About Varun Sapra
Varun Sapra is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Health Information Management, having authored 26 papers that have together received 223 indexed citations. Recurring topics across this work include Green IT and Sustainability (6 papers), Caching and Content Delivery (6 papers), Artificial Intelligence in Healthcare (5 papers), Image and Video Quality Assessment (3 papers), Retinal Imaging and Analysis (2 papers), Digital Imaging for Blood Diseases (2 papers), Brain Tumor Detection and Classification (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Information Management (33 citations), Information Systems (66 citations), Computer Networks and Communications (60 citations), Health Informatics (3 citations) and Medical Laboratory Technology (3 citations). Varun Sapra has collaborated with scholars based in India, Canada and Saudi Arabia. Frequent co-authors include Abram Hindle, Akashdeep Bhardwaj, Shaiful Chowdhury, Thompson Stephan, Majid Nour, Shamik Tiwari, Deepika Koundal, Anurag Jain, Kemal Polat and Fayadh Alenezi. Their work appears in journals such as Computers & Electrical Engineering, Alexandria Engineering Journal, Expert Systems with Applications, Materials Today Proceedings and Computer Fraud & Security.
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.