M. A. Srinivasan

1.1k total citations
12 papers, 731 citations indexed

About

M. A. Srinivasan is a scholar working on Cognitive Neuroscience, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, M. A. Srinivasan has authored 12 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Computational Mechanics and 3 papers in Biomedical Engineering. Recurrent topics in M. A. Srinivasan's work include Tactile and Sensory Interactions (6 papers), Visual perception and processing mechanisms (3 papers) and 3D Shape Modeling and Analysis (3 papers). M. A. Srinivasan is often cited by papers focused on Tactile and Sensory Interactions (6 papers), Visual perception and processing mechanisms (3 papers) and 3D Shape Modeling and Analysis (3 papers). M. A. Srinivasan collaborates with scholars based in United States, India and Singapore. M. A. Srinivasan's co-authors include R. H. LaMotte, James Whitehouse, Robert H. LaMotte, Sumitava De, Chester Ho, Çağatay Başdoğan, Steven L. Small, Samantha L. Dawson, Xiaodan Jia and Charles Lu and has published in prestigious journals such as Journal of Neurophysiology, The International Journal of Robotics Research and Studies in health technology and informatics.

In The Last Decade

M. A. Srinivasan

12 papers receiving 696 citations

Peers

M. A. Srinivasan
Comparison fields: 5 of 60
  • Cognitive Neuroscience 588
  • Biomedical Engineering 266
  • Experimental and Cognitive Psychology 143
  • Human-Computer Interaction 138
  • Mechanical Engineering 106
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Citations per field, relative to M. A. Srinivasan
M. A. Srinivasan · 1×
Citations per year, relative to M. A. Srinivasan
M. A. Srinivasan · 1×

Countries citing papers authored by M. A. Srinivasan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
# Work Indexed citations
1 3
2 25
3 8
4 5
5 1
6 7
7
Thin walled models for haptic and graphical rendering of soft tissues in surgical simulations.
28
8 41
9 32
10 36
11 345
12 200

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.

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2026