S. Prabu
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
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- Advanced Neural Network Applications
Papers in
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- Artificial Intelligence in Healthcare 5
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- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Co-authors
- Rocío Pérez de Prado (3 shared papers)B. D. Parameshachari (2 shared papers)Sujatha Rajkumar (2 shared papers)Silvia Liberata Ullo (1 shared paper)Jewel Sengupta (1 shared paper)Ganesh Babu R. (1 shared paper)Jaroslav Frnda (1 shared paper)M. R. Arun (1 shared paper)
In The Last Decade
S. Prabu
26 papers receiving 472 citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 129
- Computer Vision and Pattern Recognition 111
- Business and International Management 10
- Information Systems 98
- Signal Processing 47
Countries citing papers authored by S. Prabu
This map shows the geographic impact of S. Prabu'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 S. Prabu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Prabu more than expected).
Fields of papers citing papers by S. Prabu
This network shows the impact of papers produced by S. Prabu. 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 S. Prabu. The network helps show where S. Prabu may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Prabu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2021 | 67 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 52 | |
| 5 | 2020 | 50 | |
| 6 | 2019 | 30 | |
| 7 | 2019 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2020 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2024 | 23 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 4 |
About S. Prabu
S. Prabu is a scholar working on Health Information Management, Computer Vision and Pattern Recognition, Analytical Chemistry, Signal Processing and Automotive Engineering, having authored 36 papers that have together received 553 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Smart Agriculture and AI (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Video Surveillance and Tracking Methods (3 papers), Digital Filter Design and Implementation (2 papers), Advanced Battery Technologies Research (2 papers), Advanced Neural Network Applications (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Computer Networks and Communications (129 citations), Computer Vision and Pattern Recognition (111 citations), Business and International Management (10 citations), Information Systems (98 citations) and Signal Processing (47 citations). S. Prabu has collaborated with scholars based in India, Spain and Poland. Frequent co-authors include Rocío Pérez de Prado, B. D. Parameshachari, Sujatha Rajkumar, Silvia Liberata Ullo, Jewel Sengupta, Ganesh Babu R., Jaroslav Frnda, M. R. Arun, Krishnasamy Vengatesan and Shanmugam Prabhakar Karthikeyan. Their work appears in journals such as Energies, Journal of Medical Systems, Applied Sciences, Measurement and Wireless Communications and Mobile 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.