K. Thinakaran
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Digital Media Forensic Detection
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- Brain Tumor Detection and Classification
Papers in ⓘ
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- Video Surveillance and Tracking Methods 7
- Digital Media Forensic Detection 4
- Advanced Neural Network Applications 3
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- T J Nandhini (9 shared papers)Syed Noeman Taqui (1 shared paper)Dilli Ganesh (1 shared paper)M. Balamurugan (1 shared paper)Arfat Ahmad Khan (1 shared paper)Raju Kannadasan (1 shared paper)M. Adimoolam (1 shared paper)Chitapong Wechtaisong (1 shared paper)
- Journals
- Electronics (1 paper)Materials Today Proceedings (2 papers)International Journal of Electronics and Communication Engineering (1 paper)
- Partner nations
- IndiaUzbekistanTaiwan
In The Last Decade
K. Thinakaran
17 papers receiving 278 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 77
- Neurology 25
- Artificial Intelligence 92
- Computer Networks and Communications 52
- Health Information Management 9
Countries citing papers authored by K. Thinakaran
This map shows the geographic impact of K. Thinakaran'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 K. Thinakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Thinakaran more than expected).
Fields of papers citing papers by K. Thinakaran
This network shows the impact of papers produced by K. Thinakaran. 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 K. Thinakaran. The network helps show where K. Thinakaran may publish in the future.
Co-authors
The 15 scholars most cited alongside K. Thinakaran, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 44 | |
| 2 | 2022 | 39 | |
| 3 | 2021 | 37 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 28 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 15 | |
| 13 | 2020 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About K. Thinakaran
K. Thinakaran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering and Information Systems, having authored 24 papers that have together received 317 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Anomaly Detection Techniques and Applications (4 papers), Digital Media Forensic Detection (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Neural Network Applications (3 papers), Fire Detection and Safety Systems (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (77 citations), Neurology (25 citations), Artificial Intelligence (92 citations), Computer Networks and Communications (52 citations) and Health Information Management (9 citations). K. Thinakaran has collaborated with scholars based in India, Uzbekistan and Taiwan. Frequent co-authors include T J Nandhini, Syed Noeman Taqui, Dilli Ganesh, M. Balamurugan, Arfat Ahmad Khan, Raju Kannadasan, M. Adimoolam, Chitapong Wechtaisong, M. Nalini and S. Yuvaraj. Their work appears in journals such as Electronics, Materials Today Proceedings and International Journal of Electronics and Communication 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.