Raghav Agarwal
Impact in
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- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 4
- Text and Document Classification Technologies 2
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- Cloud Computing and Resource Management 4
- Co-authors
- Sagar Dhanraj Pande (2 shared papers)S. K. Jain (9 shared papers)Harsh Vikram Singh (3 shared papers)Sachi Nandan Mohanty (2 shared papers)Sandeep Kumar Panda (1 shared paper)Ashish Kumar (1 shared paper)Shalu Jain (1 shared paper)Madan Lal Saini (1 shared paper)
- Journals
- IEEE Access (2 papers)Multimedia Tools and Applications (1 paper)Indian Journal of Labour Economics (1 paper)EAI Endorsed Transactions on Pervasive Health and Technology (4 papers)ICST Transactions on Scalable Information Systems (1 paper)
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Raghav Agarwal
32 papers receiving 191 citations
Peers
Comparison fields: 5 of 54
- Neurology 27
- Health Information Management 12
- Computer Vision and Pattern Recognition 51
- Information Systems 55
- Artificial Intelligence 68
Countries citing papers authored by Raghav Agarwal
This map shows the geographic impact of Raghav 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 Raghav Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raghav Agarwal more than expected).
Fields of papers citing papers by Raghav Agarwal
This network shows the impact of papers produced by Raghav 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 Raghav Agarwal. The network helps show where Raghav Agarwal may publish in the future.
Co-authors
The 18 scholars most cited alongside Raghav 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 30 | |
| 2 | 2016 | 27 | |
| 3 | 2022 | 15 | |
| 4 | 2022 | 14 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Raghav Agarwal
Raghav Agarwal is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 208 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (3 papers), Brain Tumor Detection and Classification (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Text and Document Classification Technologies (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Neurology (27 citations), Health Information Management (12 citations), Computer Vision and Pattern Recognition (51 citations), Information Systems (55 citations) and Artificial Intelligence (68 citations). Raghav Agarwal has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Sagar Dhanraj Pande, S. K. Jain, Harsh Vikram Singh, Sachi Nandan Mohanty, Sandeep Kumar Panda, Ashish Kumar, Shalu Jain, Madan Lal Saini, Janjhyam Venkata Naga Ramesh and Shalu Jain. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Indian Journal of Labour Economics, EAI Endorsed Transactions on Pervasive Health and Technology and ICST Transactions on Scalable Information Systems.
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.