Prabhu Jayagopal
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Cryptography and Data Security 3
- Co-authors
- Sandeep Kumar Mathivanan (32 shared papers)Saravanan Srinivasan (5 shared papers)Gemmachis Teshite Dalu (5 shared papers)V E Sathishkumar (4 shared papers)Mahmoud Elsisi (1 shared paper)Alagar Karthick (3 shared papers)M. Prasanna (1 shared paper)Hariharan Rajadurai (2 shared papers)
- Journals
- Scientific Reports (4 papers)Computational Intelligence and Neuroscience (3 papers)International Journal of Multimedia Information Retrieval (2 papers)Applied Sciences (1 paper)Journal of Ambient Intelligence and Humanized Computing (1 paper)
- Partner nations
- IndiaBangladeshUnited States
In The Last Decade
Prabhu Jayagopal
62 papers receiving 781 citations
Peers
Comparison fields: 5 of 119
- Neurology 108
- Health Information Management 48
- Modeling and Simulation 47
- Health Informatics 11
- Computer Vision and Pattern Recognition 157
Countries citing papers authored by Prabhu Jayagopal
This map shows the geographic impact of Prabhu Jayagopal'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 Prabhu Jayagopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhu Jayagopal more than expected).
Fields of papers citing papers by Prabhu Jayagopal
This network shows the impact of papers produced by Prabhu Jayagopal. 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 Prabhu Jayagopal. The network helps show where Prabhu Jayagopal may publish in the future.
Co-authors
The 25 scholars most cited alongside Prabhu Jayagopal, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2022 | 70 | |
| 3 | 2023 | 66 | |
| 4 | 2022 | 48 | |
| 5 | 2020 | 48 | |
| 6 | 2023 | 43 | |
| 7 | 2023 | 38 | |
| 8 | 2023 | 27 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 20 | |
| 13 | 2023 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2017 | 11 |
About Prabhu Jayagopal
Prabhu Jayagopal is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Plant Science, having authored 66 papers that have together received 815 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), EEG and Brain-Computer Interfaces (5 papers), COVID-19 epidemiological studies (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Brain Tumor Detection and Classification (4 papers), COVID-19 diagnosis using AI (4 papers), Cryptography and Data Security (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Neurology (108 citations), Health Information Management (48 citations), Modeling and Simulation (47 citations), Health Informatics (11 citations) and Computer Vision and Pattern Recognition (157 citations). Prabhu Jayagopal has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Sandeep Kumar Mathivanan, Saravanan Srinivasan, Gemmachis Teshite Dalu, V E Sathishkumar, Mahmoud Elsisi, Alagar Karthick, M. Prasanna, Hariharan Rajadurai, J. Chinna Babu and Malliga Subramanian. Their work appears in journals such as Scientific Reports, Computational Intelligence and Neuroscience, International Journal of Multimedia Information Retrieval, Applied Sciences and Journal of Ambient Intelligence and Humanized Computing.
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.