T. S. Arulananth
Impact in
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- Network Security and Intrusion Detection
- Interconnection Networks and Systems
- IoT and Edge/Fog Computing
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Medical Image Segmentation Techniques 3
- Video Surveillance and Tracking Methods 3
- Image and Object Detection Techniques 2
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- IoT-based Smart Home Systems 3
- Co-authors
- M. Baskar (7 shared papers)V. Anbarasu (3 shared papers)Koppula Srinivas Rao (1 shared paper)S. M. Udhaya Sankar (1 shared paper)A. Suresh (1 shared paper)Aruru Sai Kumar (1 shared paper)P. Chinnasamy (2 shared papers)C. Karthikeyan (1 shared paper)
In The Last Decade
T. S. Arulananth
23 papers receiving 190 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 54
- Computer Vision and Pattern Recognition 42
- Human-Computer Interaction 7
- Signal Processing 12
- Information Systems 24
Countries citing papers authored by T. S. Arulananth
This map shows the geographic impact of T. S. Arulananth'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 T. S. Arulananth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. S. Arulananth more than expected).
Fields of papers citing papers by T. S. Arulananth
This network shows the impact of papers produced by T. S. Arulananth. 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 T. S. Arulananth. The network helps show where T. S. Arulananth may publish in the future.
Co-authors
The 25 scholars most cited alongside T. S. Arulananth, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 36 | |
| 2 | 2020 | 30 | |
| 3 | 2021 | 25 | |
| 4 | 2024 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 2022 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About T. S. Arulananth
T. S. Arulananth is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Media Technology and Information Systems, having authored 29 papers that have together received 197 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), IoT-based Smart Home Systems (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Image Fusion Techniques (2 papers), Blockchain Technology Applications and Security (2 papers), Image and Object Detection Techniques (2 papers), Remote-Sensing Image Classification (2 papers) and IoT and GPS-based Vehicle Safety Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (54 citations), Computer Vision and Pattern Recognition (42 citations), Human-Computer Interaction (7 citations), Signal Processing (12 citations) and Information Systems (24 citations). T. S. Arulananth has collaborated with scholars based in India, Ethiopia and Slovakia. Frequent co-authors include M. Baskar, V. Anbarasu, Koppula Srinivas Rao, S. M. Udhaya Sankar, A. Suresh, Aruru Sai Kumar, P. Chinnasamy, C. Karthikeyan, J. Ramkumar and Ajmeera Kiran. Their work appears in journals such as PLoS ONE, Pattern Recognition Letters, Neural Processing Letters, Journal of Ambient Intelligence and Humanized Computing and Arabian Journal for Science and 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.