Mohan Vaidyanathan

1.0k citations
19 papers · 834 · 1 hit paper · h-index 8

Impact in

Papers in

Mohan Vaidyanathan

18 papers receiving 768 citations

Mohan Vaidyanathan's Hit Papers

MRI segmentation: Methods and applications 1995 · 566 citations
5660+10+20Years since publication100200300400500

Peers

Mohan Vaidyanathan
Comparison fields: 5 of 93
  • Neurology 199
  • Computer Vision and Pattern Recognition 481
  • Radiology, Nuclear Medicine and Imaging 229
  • Biophysics 33
  • Media Technology 49
Replace Dana Cobzaş with:
Dana Cobzaş Canada
Joe P. Windham United States
Ali Gooya United Kingdom
John Heine United States
Maria Francesca Spadea Italy
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Olivier Commowick France
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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-authors

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
MRI segmentation: Methods and applications
Hit paper breakdown →
1995566
2 199593
3 199753
4 199734
5 199723
6 200014
7 200510
8 19939
9 19987
10 19976
11 19944
12 20033
13
Novel Methods of Evaluating the Growth Response Patterns of Treated Brain Tumors.
19953
14 20023
15 19932
16 20012
17 19981
18 19981
19 20020

About Mohan Vaidyanathan

Mohan Vaidyanathan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 19 papers that have together received 834 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Photorefractive and Nonlinear Optics (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), Brain Tumor Detection and Classification (3 papers) and Advanced Optical Sensing Technologies (3 papers). The work is most often cited by research in Neurology (199 citations), Computer Vision and Pattern Recognition (481 citations), Radiology, Nuclear Medicine and Imaging (229 citations), Biophysics (33 citations) and Media Technology (49 citations). Mohan Vaidyanathan has collaborated with scholars based in United States. Frequent co-authors include Laurence P. Clarke, Robert P. Velthuizen, Lawrence Hall, M.L. Silbiger, Marc A. Camacho, John Heine, Robert W. Thatcher, Harvey Greenberg, Surasak Phuphanich and A. Bensaid. Their work appears in journals such as Magnetic Resonance Imaging, Optics Communications, Optics Express, Journal of Quantitative Spectroscopy and Radiative Transfer and IEEE Journal of Quantum Electronics.

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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