P. Prabu
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
Papers in
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- Advanced Steganography and Watermarking Techniques 3
- Digital Media Forensic Detection 3
- Chaos-based Image/Signal Encryption 3
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- IoT and Edge/Fog Computing 3
- Co-authors
- K. Venkatachalam (10 shared papers)Mohd Anul Haq (2 shared papers)Ala Saleh Alluhaidan (5 shared papers)Mohamed Abouhawwash (2 shared papers)Ramesh Chandra Poonia (6 shared papers)Pavel Trojovský (3 shared papers)M. Vinoth Kumar (1 shared paper)Štěpán Hubálovský (2 shared papers)
- Journals
- IEEE Access (4 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Mobile Networks and Applications (2 papers)PeerJ Computer Science (2 papers)Computers & Electrical Engineering (2 papers)
- Partner nations
- IndiaSaudi ArabiaCzechia
In The Last Decade
P. Prabu
46 papers receiving 762 citations
Peers
Comparison fields: 5 of 98
- Human-Computer Interaction 86
- Computer Vision and Pattern Recognition 219
- Signal Processing 70
- Computer Networks and Communications 147
- Artificial Intelligence 185
Countries citing papers authored by P. Prabu
This map shows the geographic impact of P. 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 P. Prabu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Prabu more than expected).
Fields of papers citing papers by P. Prabu
This network shows the impact of papers produced by P. 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 P. Prabu. The network helps show where P. Prabu may publish in the future.
Co-authors
The 25 scholars most cited alongside P. 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2021 | 88 | |
| 3 | 2019 | 59 | |
| 4 | 2021 | 51 | |
| 5 | 2021 | 43 | |
| 6 | 2024 | 34 | |
| 7 | 2023 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2024 | 26 | |
| 10 | 2018 | 26 | |
| 11 | 2019 | 24 | |
| 12 | 2020 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2018 | 13 |
About P. Prabu
P. Prabu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Marketing, having authored 49 papers that have together received 832 indexed citations. Recurring topics across this work include Customer churn and segmentation (6 papers), Hand Gesture Recognition Systems (5 papers), Hearing Impairment and Communication (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), IoT and Edge/Fog Computing (3 papers), Data Mining Algorithms and Applications (3 papers), Digital Media Forensic Detection (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Computer Vision and Pattern Recognition (219 citations), Signal Processing (70 citations), Computer Networks and Communications (147 citations) and Artificial Intelligence (185 citations). P. Prabu has collaborated with scholars based in India, Saudi Arabia and Czechia. Frequent co-authors include K. Venkatachalam, Mohd Anul Haq, Ala Saleh Alluhaidan, Mohamed Abouhawwash, Ramesh Chandra Poonia, Pavel Trojovský, M. Vinoth Kumar, Štěpán Hubálovský, Prabhakar Krishnan and Kurunandan Jain. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Mobile Networks and Applications, PeerJ Computer Science and Computers & Electrical Engineering.
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.