Tapas Bhadra
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Face and Expression Recognition
Papers in
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- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 9
- Machine Learning in Bioinformatics 5
- Single-cell and spatial transcriptomics 3
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- Algorithms and Data Compression 3
- Evolutionary Algorithms and Applications 3
- Metaheuristic Optimization Algorithms Research 3
- Co-authors
- Sanghamitra Bandyopadhyay (9 shared papers)Saurav Mallik (17 shared papers)Ujjwal Maulik (5 shared papers)Zhongming Zhao (7 shared papers)Pabitra Mitra (1 shared paper)Lars Feuerbach (3 shared papers)Thomas Lengauer (3 shared papers)Malay Bhattacharyya (3 shared papers)
- Journals
- IEEE Transactions on NanoBioscience (2 papers)PLoS ONE (2 papers)Frontiers in Genetics (1 paper)Expert Systems with Applications (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Tapas Bhadra
23 papers receiving 385 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 85
- Cancer Research 39
- Molecular Biology 163
- Computational Theory and Mathematics 39
Countries citing papers authored by Tapas Bhadra
This map shows the geographic impact of Tapas Bhadra'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 Tapas Bhadra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapas Bhadra more than expected).
Fields of papers citing papers by Tapas Bhadra
This network shows the impact of papers produced by Tapas Bhadra. 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 Tapas Bhadra. The network helps show where Tapas Bhadra may publish in the future.
Co-authors
The 24 scholars most cited alongside Tapas Bhadra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 55 | |
| 2 | 2014 | 51 | |
| 3 | 2017 | 42 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2017 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2012 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2012 | 24 | |
| 11 | 2018 | 10 | |
| 12 | 2013 | 8 | |
| 13 | Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information. | 2015 | 7 |
| 14 | 2023 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2019 | 2 |
About Tapas Bhadra
Tapas Bhadra is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Cancer Research, having authored 28 papers that have together received 390 indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (9 papers), Face and Expression Recognition (6 papers), Machine Learning in Bioinformatics (5 papers), Algorithms and Data Compression (3 papers), Single-cell and spatial transcriptomics (3 papers), Evolutionary Algorithms and Applications (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (156 citations), Computer Vision and Pattern Recognition (85 citations), Cancer Research (39 citations), Molecular Biology (163 citations) and Computational Theory and Mathematics (39 citations). Tapas Bhadra has collaborated with scholars based in India, United States and China. Frequent co-authors include Sanghamitra Bandyopadhyay, Saurav Mallik, Ujjwal Maulik, Zhongming Zhao, Pabitra Mitra, Lars Feuerbach, Thomas Lengauer, Malay Bhattacharyya, Pawan Kumar Singh and Namrata Tomar. Their work appears in journals such as IEEE Transactions on NanoBioscience, PLoS ONE, Frontiers in Genetics, Expert Systems with Applications and Pattern Recognition Letters.
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.