Prabhu Jayagopal
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Cryptography and Data Security 6
- AI in cancer detection 4
- Co-authors
- Sandeep Kumar Mathivanan (47 shared papers)Saravanan Srinivasan (5 shared papers)M. Prasanna (8 shared papers)V E Sathishkumar (5 shared papers)Mahmoud Elsisi (1 shared paper)Alagar Karthick (3 shared papers)Hariharan Rajadurai (2 shared papers)Malliga Subramanian (1 shared paper)
- Journals
- Scientific Reports (4 papers)Computational Intelligence and Neuroscience (3 papers)International Journal of Multimedia Information Retrieval (2 papers)Big Data (1 paper)Transactions on Emerging Telecommunications Technologies (1 paper)
- Partner nations
- IndiaBangladeshUnited States
In The Last Decade
Prabhu Jayagopal
78 papers receiving 782 citations
Peers
Comparison fields: 5 of 120
- Neurology 99
- Modeling and Simulation 49
- Health Information Management 49
- Health Informatics 11
- Computer Vision and Pattern Recognition 163
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2022 | 67 | |
| 3 | 2023 | 53 | |
| 4 | 2020 | 49 | |
| 5 | 2022 | 46 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 34 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 18 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2020 | 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 Signal Processing, having authored 83 papers that have together received 826 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Cryptography and Data Security (6 papers), EEG and Brain-Computer Interfaces (5 papers), COVID-19 epidemiological studies (5 papers), COVID-19 diagnosis using AI (4 papers), IoT and Edge/Fog Computing (4 papers), Energy Efficient Wireless Sensor Networks (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Neurology (99 citations), Modeling and Simulation (49 citations), Health Information Management (49 citations), Health Informatics (11 citations) and Computer Vision and Pattern Recognition (163 citations). Prabhu Jayagopal has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Sandeep Kumar Mathivanan, Saravanan Srinivasan, M. Prasanna, V E Sathishkumar, Mahmoud Elsisi, Alagar Karthick, Hariharan Rajadurai, Malliga Subramanian, Shaikh Muhammad Allayear and J. Chinna Babu. Their work appears in journals such as Scientific Reports, Computational Intelligence and Neuroscience, International Journal of Multimedia Information Retrieval, Big Data and Transactions on Emerging Telecommunications Technologies.
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.