Rohit Agarwal
Impact in
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- Brain Tumor Detection and Classification
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 4
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- Web Data Mining and Analysis 9
- User Authentication and Security Systems 4
- Co-authors
- Hitendra Garg (2 shared papers)Ajay Singh Verma (5 shared papers)Shashi Shekhar (4 shared papers)K. V. Arya (7 shared papers)Anand Singh Jalal (5 shared papers)Upasana Rani (3 shared papers)Bhisham Sharma (1 shared paper)Peeyush Kumar Kamlesh (2 shared papers)
- Journals
- Multimedia Tools and Applications (4 papers)The Visual Computer (3 papers)International Journal of Quantum Chemistry (2 papers)Heart (1 paper)Big Data Mining and Analytics (1 paper)
- Partner nations
- IndiaUnited StatesIraq
In The Last Decade
Rohit Agarwal
51 papers receiving 570 citations
Peers
Comparison fields: 5 of 98
- Neurology 50
- Signal Processing 70
- Computer Vision and Pattern Recognition 129
- Information Systems 122
- Health Information Management 21
Countries citing papers authored by Rohit Agarwal
This map shows the geographic impact of Rohit Agarwal'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 Rohit Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Agarwal more than expected).
Fields of papers citing papers by Rohit Agarwal
This network shows the impact of papers produced by Rohit Agarwal. 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 Rohit Agarwal. The network helps show where Rohit Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Rohit Agarwal, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 94 | |
| 2 | 2021 | 55 | |
| 3 | 2021 | 37 | |
| 4 | 2024 | 33 | |
| 5 | 2023 | 32 | |
| 6 | 2014 | 31 | |
| 7 | 2021 | 29 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2024 | 19 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2011 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 1996 | 9 | |
| 20 | 2011 | 8 |
About Rohit Agarwal
Rohit Agarwal is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 60 papers that have together received 603 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (9 papers), Biometric Identification and Security (8 papers), Brain Tumor Detection and Classification (4 papers), Glaucoma and retinal disorders (4 papers), Face recognition and analysis (4 papers), Peer-to-Peer Network Technologies (4 papers), User Authentication and Security Systems (4 papers) and Mobile Agent-Based Network Management (4 papers). The work is most often cited by research in Neurology (50 citations), Signal Processing (70 citations), Computer Vision and Pattern Recognition (129 citations), Information Systems (122 citations) and Health Information Management (21 citations). Rohit Agarwal has collaborated with scholars based in India, United States and Iraq. Frequent co-authors include Hitendra Garg, Ajay Singh Verma, Shashi Shekhar, K. V. Arya, Anand Singh Jalal, Upasana Rani, Bhisham Sharma, Peeyush Kumar Kamlesh, Sudhir Kumar and Neeraj Gupta. Their work appears in journals such as Multimedia Tools and Applications, The Visual Computer, International Journal of Quantum Chemistry, Heart and Big Data Mining and Analytics.
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.