M.A. Srinivasan
- Mechanical Engineering top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Çağatay BaşdoğanJ. Kenneth SalisburyJames D. BiggsM. ManivannanHyun KimJung KimSumitava DeJungho Kim
- Topics
- Teleoperation and Haptic Systems (6 papers)Tactile and Sensory Interactions (5 papers)3D Shape Modeling and Analysis (4 papers)
- Cited by
- Human-Computer InteractionCognitive NeuroscienceComputer Graphics and Computer-Aided Design
- Journals
- IEEE/ASME Transactions on MechatronicsIEEE Computer Graphics and ApplicationsLecture notes in computer science
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
M.A. Srinivasan
14 papers receiving 800 citations
Peers
Comparison fields: 5 of 86
- Mechanical Engineering 360
- Cognitive Neuroscience 328
- Biomedical Engineering 294
- Human-Computer Interaction 261
- Computer Vision and Pattern Recognition 211
Countries citing papers authored by M.A. Srinivasan
This map shows the geographic impact of M.A. Srinivasan'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.A. Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Srinivasan more than expected).
Fields of papers citing papers by M.A. Srinivasan
This network shows the impact of papers produced by M.A. Srinivasan. 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.A. Srinivasan. The network helps show where M.A. Srinivasan may publish in the future.
Co-authorship network of co-authors of M.A. Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Srinivasan. A scholar is included among the top collaborators of M.A. Srinivasan 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 M.A. Srinivasan. M.A. Srinivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 254 | |
| 3 | 手術シミュレーションのためのin vivo動物実験による腹部内組織の特性化(原標題は英語) | 2 |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 109 | |
| 7 | 9 | |
| 8 | Collaboration in a Mediated Haptic Environment | 17 |
| 9 | 199 | |
| 10 | 32 | |
| 11 | 18 | |
| 12 | 166 | |
| 13 | Tactual interfaces: The human perceiver | 1 |
| 14 | 3 |
About M.A. Srinivasan
M.A. Srinivasan is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Cognitive Neuroscience, having authored 14 papers that have together received 876 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (6 papers), Tactile and Sensory Interactions (5 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Human-Computer Interaction (261 citations), Cognitive Neuroscience (328 citations) and Computer Graphics and Computer-Aided Design (46 citations). M.A. Srinivasan has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Çağatay Başdoğan, J. Kenneth Salisbury, James D. Biggs, M. Manivannan, Hyun Kim, Jung Kim, Sumitava De, Jungho Kim, Dong‐Soo Kwon and Ki‐Uk Kyung. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Computer Graphics and Applications and Lecture notes in computer science.
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.