Arnab Kumar Mondal

420 total citations
19 papers, 125 citations indexed

About

Arnab Kumar Mondal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Arnab Kumar Mondal has authored 19 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Arnab Kumar Mondal's work include Single-cell and spatial transcriptomics (2 papers), Handwritten Text Recognition Techniques (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Arnab Kumar Mondal is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Handwritten Text Recognition Techniques (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Arnab Kumar Mondal collaborates with scholars based in India, Canada and United States. Arnab Kumar Mondal's co-authors include Prathosh AP, Vineet Jain, Prabir Kumar Biswas, Shubhashis Sengupta, Swagatam Das, Ajith Abraham, Md Nasir, Lalan Kumar, Ayush Tripathi and Tapan Kumar Saha and has published in prestigious journals such as IEEE Transactions on Smart Grid, Applied Soft Computing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Arnab Kumar Mondal

16 papers receiving 124 citations

Peers

Arnab Kumar Mondal
Comparison fields: 5 of 45
  • Artificial Intelligence 45
  • Computer Vision and Pattern Recognition 34
  • Radiology, Nuclear Medicine and Imaging 25
  • Computational Theory and Mathematics 22
  • Control and Systems Engineering 19
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Citations per field, relative to Arnab Kumar Mondal
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Citations per year, relative to Arnab Kumar Mondal
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Countries citing papers authored by Arnab Kumar Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Kumar Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnab Kumar Mondal. 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 Arnab Kumar Mondal. The network helps show where Arnab Kumar Mondal may publish in the future.

Co-authorship network of co-authors of Arnab Kumar Mondal

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 3
5 10
6 5
7 0
8 3
9 10
10 4
11 12
12 16
13 6
14 5
15
FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders
0
16
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
1
17 4
18 19
19 24

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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