Subhashis Banerjee

1.0k citations
35 papers · 366 indexed · h-index 13
Topics
Medical Image Segmentation Techniques (15 papers)Brain Tumor Detection and Classification (7 papers)Advanced Neural Network Applications (5 papers)
Partner nations
IndiaSwedenJapan

In The Last Decade

Subhashis Banerjee

32 papers receiving 347 citations

Peers

Subhashis Banerjee
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 246
  • Neurology 113
  • Radiology, Nuclear Medicine and Imaging 84
  • Artificial Intelligence 82
  • Signal Processing 38
Replace Anuj Bhardwaj with:
Anuj Bhardwaj India
Vivek Singh Verma India
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Wajdi Elhamzi Tunisia
Rostom Kachouri France
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Xian Wu China
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Citations per field
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Citations per year

Countries citing papers authored by Subhashis Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Subhashis Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashis Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashis Banerjee. A scholar is included among the top collaborators of Subhashis Banerjee 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 Subhashis Banerjee. Subhashis Banerjee 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 2
2 8
3 0
4 2
5 4
6 4
7 3
8
On monitoring development using high resolution satellite images.
1
9 14
10 43
11 11
12 31
13 1
14
A Framework for Activity Recognition and Detection of Unusual Activities.
26
15 9
16 7
17 0
18 2
19 2
20 18

About Subhashis Banerjee

Subhashis Banerjee is a scholar working on Computer Vision and Pattern Recognition, Neurology and Health Informatics, having authored 35 papers that have together received 366 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Brain Tumor Detection and Classification (7 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Neurology (113 citations), Computer Vision and Pattern Recognition (246 citations) and Health Informatics (5 citations). Subhashis Banerjee has collaborated with scholars based in India, Sweden and Japan. Frequent co-authors include Sushmita Mitra, B. Uma Shankar, Yoichi Hayashi, Prem Kalra, Dipti Prasad Mukherjee, D. Mukherjee, Sumit Jain, Johan Wikström, Stefano Rovetta and Robin Strand. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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