S. Parasuraman
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Co-authors
- Irraivan ElamvazuthiM.K.A. Ahamed KhanAmudha KadirveluElango NatarajanMaged S. Al-QuraishiAlberto BorboniZulfiqar AliSteven W. Su
- Topics
- Muscle activation and electromyography studies (23 papers)Stroke Rehabilitation and Recovery (15 papers)Robotic Path Planning Algorithms (13 papers)
In The Last Decade
S. Parasuraman
78 papers receiving 754 citations
Peers
Comparison fields: 5 of 102
- Biomedical Engineering 324
- Computer Vision and Pattern Recognition 211
- Cognitive Neuroscience 165
- Control and Systems Engineering 119
- Mechanical Engineering 110
Countries citing papers authored by S. Parasuraman
This map shows the geographic impact of S. Parasuraman'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. Parasuraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Parasuraman more than expected).
Fields of papers citing papers by S. Parasuraman
This network shows the impact of papers produced by S. Parasuraman. 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. Parasuraman. The network helps show where S. Parasuraman may publish in the future.
Co-authorship network of co-authors of S. Parasuraman
This figure shows the co-authorship network connecting the top 25 collaborators of S. Parasuraman. A scholar is included among the top collaborators of S. Parasuraman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Parasuraman. S. Parasuraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 29 | |
| 6 | 8 | |
| 7 | 95 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | Surface electromyogram (sEMG) detection and analysis in the development of an Exoskeleton Control System | 5 |
| 13 | 6 | |
| 14 | Improved Ant Colony Optimization for robot navigation | 5 |
| 15 | LabVIEW based mobile robot navigation system | 1 |
| 16 | An EMG-driven musculoskeletal model for robot assisted stroke rehabilitation system using sliding mode control | 5 |
| 17 | 12 | |
| 18 | 10 | |
| 19 | Behavior coordination and selection using situation context-dependent method for behavior based robot navigation using AI techniques for real world environments | 3 |
| 20 | 6 |
About S. Parasuraman
S. Parasuraman is a scholar working on Rehabilitation, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 792 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (23 papers), Stroke Rehabilitation and Recovery (15 papers) and Robotic Path Planning Algorithms (13 papers). The work is most often cited by research in Rehabilitation (81 citations), Computer Vision and Pattern Recognition (211 citations) and Cognitive Neuroscience (165 citations). S. Parasuraman has collaborated with scholars based in Malaysia, Australia and India. Frequent co-authors include Irraivan Elamvazuthi, M.K.A. Ahamed Khan, Amudha Kadirvelu, Elango Natarajan, Maged S. Al-Quraishi, Alberto Borboni, Zulfiqar Ali, Steven W. Su, Bijan Shirinzadeh and Wei Hong Lim. Their work appears in journals such as Sensors, Materials and Applied Soft 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.