Mohan Vaidyanathan

1.0k citations
19 papers · 765 indexed · 1 hit paper · h-index 8

Impact in

Papers in

Mohan Vaidyanathan

18 papers receiving 704 citations

Hit Papers

MRI segmentation: Methods and applications 1995 · 514 citations
5141995202620052015100200300400500

Peers

Mohan Vaidyanathan
Comparison fields: 5 of 94
  • Neurology 191
  • Computer Vision and Pattern Recognition 457
  • Radiology, Nuclear Medicine and Imaging 263
  • Media Technology 49
  • Biophysics 32
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Citations per year

Countries citing papers authored by Mohan Vaidyanathan

Since Specialization
Citations

This map shows the geographic impact of Mohan Vaidyanathan'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 Mohan Vaidyanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Vaidyanathan more than expected).

Fields of papers citing papers by Mohan Vaidyanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohan Vaidyanathan. 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 Mohan Vaidyanathan. The network helps show where Mohan Vaidyanathan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mohan Vaidyanathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohan Vaidyanathan Line = papers co-authored together Mohan Vaidyanathan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200510
2 20033
3 20023
4 20020
5 20012
6 200012
7 19981
8 19981
9 19986
10 199733
11 199749
12 199722
13 19976
14
MRI segmentation: Methods and applications
Hit paper breakdown →
1995514
15 199585
16
Novel Methods of Evaluating the Growth Response Patterns of Treated Brain Tumors.
19953
17 19944
18 19932
19 19939

About Mohan Vaidyanathan

Mohan Vaidyanathan is a scholar working on Instrumentation, Neurology, Computer Vision and Pattern Recognition, Spectroscopy and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 765 indexed citations. Recurring topics across this work include Photorefractive and Nonlinear Optics (5 papers), Medical Image Segmentation Techniques (5 papers), Solid State Laser Technologies (5 papers), Medical Imaging Techniques and Applications (4 papers), Spectroscopy and Laser Applications (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Advanced Optical Sensing Technologies (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Neurology (191 citations), Computer Vision and Pattern Recognition (457 citations), Radiology, Nuclear Medicine and Imaging (263 citations), Media Technology (49 citations) and Biophysics (32 citations). Mohan Vaidyanathan has collaborated with scholars based in United States. Frequent co-authors include Lawrence Hall, Robert P. Velthuizen, Laurence P. Clarke, M.L. Silbiger, John Heine, Marc A. Camacho, Robert W. Thatcher, Surasak Phuphanich, Harvey Greenberg and A. Bensaid. Their work appears in journals such as Magnetic Resonance Imaging, Optics Express, Journal of Quantitative Spectroscopy and Radiative Transfer, IEEE Journal of Quantum Electronics and Optics Communications.

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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