Sunanda Mitra

1.6k citations
128 papers · 1.3k · h-index 19

Impact in

Papers in

Sunanda Mitra

118 papers receiving 1.2k citations

Peers

Sunanda Mitra
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 352
  • Cognitive Neuroscience 235
  • Neurology 87
  • Radiology, Nuclear Medicine and Imaging 173
  • Neurology 113
Replace Jung W. Suh with:
Jung W. Suh United States
Jingxin Liu China
Emad Fatemizadeh Iran
Noah Lee United States
Yingying Zhu United States
Dinggang Shen United States
Steven F. Ronner United States
O. Cuisenaire Switzerland
Claudio M. Privitera United States
Sunanda Mitra relative to Jung W. Suh United States Jung W. Suh's profile →
Citations per field
00.5×
Jung W. Suh · 1×
Citations per year

Countries citing papers authored by Sunanda Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Sunanda Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987253
2 201673
3 202067
4 202050
5 201745
6 199436
7 201535
8 198834
9 201832
10 200931
11 200528
12 198925
13 201822
14 199921
15 200421
16 202020
17 198519
18 200618
19 198818
20 201816

About Sunanda Mitra

Sunanda Mitra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Cognitive Neuroscience, having authored 128 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (29 papers), Advanced Data Compression Techniques (28 papers), Medical Image Segmentation Techniques (21 papers), Neural Networks and Applications (11 papers), AI in cancer detection (11 papers), Retinal Imaging and Analysis (10 papers), Functional Brain Connectivity Studies (10 papers) and Advanced MRI Techniques and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (352 citations), Cognitive Neuroscience (235 citations), Neurology (87 citations), Radiology, Nuclear Medicine and Imaging (173 citations) and Neurology (113 citations). Sunanda Mitra has collaborated with scholars based in United States, China and France. Frequent co-authors include Brian Nutter, L. Mylin, Melvin D. Yahr, Marcia S. Marx, Iván Bódis-Wollner, Phyllis Bobak, L. Rodney Long, Thomas F. Krile, Dah Jye Lee and Shuyu Yang. Their work appears in journals such as Journal of Lower Genital Tract Disease, Applied Physics Letters, NeuroImage, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Advanced Functional Materials.

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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