M Sakthimohan
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
- Media Technology top 10%
Papers in
-
- Low-power high-performance VLSI design 5
- IoT-based Smart Home Systems 4
- Co-authors
- Geeta Rani (22 shared papers)J. Deny (3 shared papers)P. Rajkumar (1 shared paper)Shiv Surya (1 shared paper)Hady H. Fayek (1 shared paper)A. Felix Sahayaraj (1 shared paper)R Swetha (1 shared paper)Thenmozhi Mani (2 shared papers)
- Journals
- Journal of Intelligent & Fuzzy Systems (1 paper)Waves in Random and Complex Media (1 paper)International Journal of Electronics (1 paper)Transactions of FAMENA (1 paper)Journal of Physics Conference Series (1 paper)
In The Last Decade
M Sakthimohan
43 papers receiving 315 citations
Peers
Comparison fields: 5 of 40
- Human-Computer Interaction 25
- Media Technology 27
- Computer Vision and Pattern Recognition 56
- Information Systems 47
- Automotive Engineering 25
Countries citing papers authored by M Sakthimohan
This map shows the geographic impact of M Sakthimohan'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 M Sakthimohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Sakthimohan more than expected).
Fields of papers citing papers by M Sakthimohan
This network shows the impact of papers produced by M Sakthimohan. 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 M Sakthimohan. The network helps show where M Sakthimohan may publish in the future.
Co-authors
The 11 scholars most cited alongside M Sakthimohan, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 22 | |
| 2 | 2023 | 17 | |
| 3 | 2023 | 17 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2023 | 8 |
About M Sakthimohan
M Sakthimohan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 53 papers that have together received 333 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Low-power high-performance VLSI design (5 papers), Smart Agriculture and AI (5 papers), Industrial Vision Systems and Defect Detection (4 papers), IoT-based Smart Home Systems (4 papers), COVID-19 diagnosis using AI (3 papers), Vehicle License Plate Recognition (3 papers) and Water Quality Monitoring Technologies (3 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Media Technology (27 citations), Computer Vision and Pattern Recognition (56 citations), Information Systems (47 citations) and Automotive Engineering (25 citations). M Sakthimohan has collaborated with scholars based in India, Nepal and Egypt. Frequent co-authors include Geeta Rani, J. Deny, P. Rajkumar, Shiv Surya, Hady H. Fayek, A. Felix Sahayaraj, R Swetha, Thenmozhi Mani, Arjun Mohan and Vivekanandhan Aravindhan. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Waves in Random and Complex Media, International Journal of Electronics, Transactions of FAMENA and Journal of Physics Conference Series.
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.