Nilanjan Ray

3.6k total citations
137 papers, 2.4k citations indexed

About

Nilanjan Ray is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Nilanjan Ray has authored 137 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 27 papers in Media Technology and 16 papers in Artificial Intelligence. Recurrent topics in Nilanjan Ray's work include Medical Image Segmentation Techniques (34 papers), Image Processing Techniques and Applications (22 papers) and Advanced Vision and Imaging (19 papers). Nilanjan Ray is often cited by papers focused on Medical Image Segmentation Techniques (34 papers), Image Processing Techniques and Applications (22 papers) and Advanced Vision and Imaging (19 papers). Nilanjan Ray collaborates with scholars based in Canada, United States and India. Nilanjan Ray's co-authors include Scott T. Acton, Baidya Nath Saha, Klaus Ley, Hong Zhang, Debargha Mukherjee, Matthias Schubert, Subir Chowdhury, Jakaria Rabbi, Dennis Chao and Nagabhatla Viswanadham and has published in prestigious journals such as Journal of Applied Physics, Journal of Colloid and Interface Science and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Nilanjan Ray

130 papers receiving 2.3k citations

Peers

Nilanjan Ray
Comparison fields: 5 of 153
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 418
  • Media Technology 409
  • Biophysics 316
  • Biomedical Engineering 280
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Citations per field, relative to Nilanjan Ray
Nilanjan Ray · 1×
Citations per year, relative to Nilanjan Ray
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Countries citing papers authored by Nilanjan Ray

Since Specialization
Citations

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

Fields of papers citing papers by Nilanjan Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilanjan Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Nilanjan Ray. A scholar is included among the top collaborators of Nilanjan Ray 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 Nilanjan Ray. Nilanjan Ray 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 2
2 2
3 1
4 0
5 0
6 11
7 22
8
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
0
9
End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation
0
10
Output Encoding by Compressed Sensing for Cell Detection with Deep Convnet.
2
11 11
12 52
13 6
14 18
15 74
16 5
17 151
18 104
19 163
20 34

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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