Snehashis Roy

3.1k citations
60 papers · 1.7k indexed · h-index 20
Topics
Medical Image Segmentation Techniques (24 papers)Advanced MRI Techniques and Applications (16 papers)Multiple Sclerosis Research Studies (10 papers)

In The Last Decade

Snehashis Roy

59 papers receiving 1.7k citations

Peers

Snehashis Roy
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 605
  • Radiology, Nuclear Medicine and Imaging 605
  • Pathology and Forensic Medicine 489
  • Neurology 230
  • Biomedical Engineering 227
Replace Navid Shiee with:
Navid Shiee United States
Horst K. Hahn Germany
Blake E. Dewey United States
Bram Platel Netherlands
Arnau Oliver Spain
Mariano Cabezas Spain
Olivier Commowick France
Mehul Sampat United States
Marco Lorenzi France
Dominik Meier United States
Snehashis Roy relative to Navid Shiee United States Navid Shiee's profile →
Citations per field
00.5×2.6×
Navid Shiee · 1×
Citations per year

Countries citing papers authored by Snehashis Roy

Since Specialization
Citations

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

Fields of papers citing papers by Snehashis Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snehashis Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Snehashis Roy. A scholar is included among the top collaborators of Snehashis Roy 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 Snehashis Roy. Snehashis Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 0
3 3
4 4
5 6
6 19
7 4
8 2
9 34
10 4
11 12
12 140
13 7
14 20
15 39
16 20
17
MR IMAGE CONTRAST SYNTHESIS FOR CONSISTENT SEGMENTATION by
1
18 10
19 3
20 37

About Snehashis Roy

Snehashis Roy is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Aging, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Advanced MRI Techniques and Applications (16 papers) and Multiple Sclerosis Research Studies (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (605 citations), Neurology (230 citations) and Pathology and Forensic Medicine (489 citations). Snehashis Roy has collaborated with scholars based in United States, Iceland and Germany. Frequent co-authors include Jerry L. Prince, Aaron Carass, Dzung L. Pham, Amod Jog, John A. Butman, Peter A. Calabresi, Daniel S. Reich, Jiwon Oh, Peter C.M. van Zijl and Ciprian M. Crainiceanu. Their work appears in journals such as Nature Neuroscience, NeuroImage and Annals of Neurology.

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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