Sourya Sengupta

509 total citations
22 papers, 261 citations indexed

About

Sourya Sengupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Sourya Sengupta has authored 22 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Ophthalmology. Recurrent topics in Sourya Sengupta's work include Retinal Imaging and Analysis (9 papers), Digital Imaging for Blood Diseases (4 papers) and Cell Image Analysis Techniques (3 papers). Sourya Sengupta is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Digital Imaging for Blood Diseases (4 papers) and Cell Image Analysis Techniques (3 papers). Sourya Sengupta collaborates with scholars based in Canada, India and United States. Sourya Sengupta's co-authors include Amitojdeep Singh, Vasudevan Lakshminarayanan, Henry A. Leopold, G.L. Ford, Mark A. Anastasio, John Zelek, Satrajit Chakrabarty, Shenghua He, Krishnarao Tangella and Nahil Sobh and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Electric Power Systems Research.

In The Last Decade

Sourya Sengupta

20 papers receiving 252 citations

Peers

Sourya Sengupta
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 185
  • Ophthalmology 127
  • Computer Vision and Pattern Recognition 96
  • Artificial Intelligence 38
  • Biomedical Engineering 18
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Citations per field, relative to Sourya Sengupta
Sourya Sengupta · 1×
Citations per year, relative to Sourya Sengupta
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Countries citing papers authored by Sourya Sengupta

Since Specialization
Citations

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

Fields of papers citing papers by Sourya Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourya Sengupta

This figure shows the co-authorship network connecting the top 25 collaborators of Sourya Sengupta. A scholar is included among the top collaborators of Sourya Sengupta 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 Sourya Sengupta. Sourya Sengupta 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
# Work Indexed citations
1 5
2 0
3 11
4 2
5 1
6 5
7 4
8 5
9 2
10 5
11 2
12 18
13 11
14 134
15 27
16
Ophthalmic Diagnosis and Deep Learning - A Survey.
4
17 3
18 2
19
A Framework for Component Design using MVC Design Pattern
1
20 0

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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