M.V. Narayanan

567 citations
32 papers · 388 indexed · h-index 11

Impact in

    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Cardiac Imaging and Diagnostics
    • Radiomics and Machine Learning in Medical Imaging
  • Radiation top 10%
    • Advanced Radiotherapy Techniques
    • Radiation Detection and Scintillator Technologies

Papers in

M.V. Narayanan

32 papers receiving 368 citations

Peers

M.V. Narayanan
Comparison fields: 5 of 53
  • Radiology, Nuclear Medicine and Imaging 322
  • Radiation 84
  • Biomedical Engineering 171
  • Pulmonary and Respiratory Medicine 56
  • Computer Vision and Pattern Recognition 31
Replace E.J. Soares with:
E.J. Soares United States
Günter Lauritsch Germany
Michael Steckner United States
Yong Long China
I Elbakri Canada
Shanglian Bao China
Weishi Xia United States
Frank Dennerlein Germany
Guang-Hong Chen United States
Idris A. Elbakri Canada
M.V. Narayanan relative to E.J. Soares United States E.J. Soares's profile →
Citations per field
00.5×1.5×
E.J. Soares · 1×
Citations per year

Countries citing papers authored by M.V. Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by M.V. Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.V. Narayanan. 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.V. Narayanan. The network helps show where M.V. Narayanan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M.V. Narayanan, 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 M.V. Narayanan Line = papers co-authored together M.V. Narayanan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 200712
3 20061
4 20066
5 20055
6 200417
7 20035
8 200315
9 20021
10 20029
11 20025
12 20027
13 200238
14 20026
15 200129
16 200118
17 200060
18 200031
19 20001
20 199932

About M.V. Narayanan

M.V. Narayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Biophysics and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 388 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (17 papers), Advanced X-ray and CT Imaging (14 papers), Advanced Radiotherapy Techniques (7 papers), Radiation Therapy and Dosimetry (4 papers), Atomic and Subatomic Physics Research (3 papers), Medical Image Segmentation Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (322 citations), Radiation (84 citations), Biomedical Engineering (171 citations), Pulmonary and Respiratory Medicine (56 citations) and Computer Vision and Pattern Recognition (31 citations). M.V. Narayanan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michael A. King, P. Hendrik Pretorius, Howard C. Gifford, C.L. Byrne, Miles N. Wernick, R. Glenn Wells, P.P. Bruyant, E.J. Soares, William G. Hawkins and Troy Farncombe. Their work appears in journals such as IEEE Transactions on Nuclear Science, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, Medical Physics and Physics in Medicine and Biology.

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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