Animesh Kumar Paul
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- Artificial Intelligence in Healthcare 3
- Medical Laboratory Technology top 10%
- Artificial Intelligence top 10%
- Fuzzy Logic and Control Systems 4
- Imbalanced Data Classification Techniques 2
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
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- Functional Brain Connectivity Studies 3
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- Advanced Control Systems Design 2
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- Data Mining Algorithms and Applications 2
- Co-authors
- Pintu Chandra ShillAmaresh C. PradhanG. Ranga RaoKazuyuki MuraseM. A. H. AkhandJanardhanan C. NarayanaswamyAndrew J. GreenshawVenkataram Shivakumar
- Journals
- Information Sciences (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- BangladeshIndiaCanada
In The Last Decade
Animesh Kumar Paul
17 papers receiving 327 citations
Peers
Comparison fields: 5 of 80
- Health Information Management 122
- Medical Laboratory Technology 13
- Artificial Intelligence 145
- Health Informatics 4
- Water Science and Technology 34
Countries citing papers authored by Animesh Kumar Paul
This map shows the geographic impact of Animesh Kumar Paul'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 Animesh Kumar Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Animesh Kumar Paul more than expected).
Fields of papers citing papers by Animesh Kumar Paul
This network shows the impact of papers produced by Animesh Kumar Paul. 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 Animesh Kumar Paul. The network helps show where Animesh Kumar Paul may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Animesh Kumar Paul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 34 | |
| 7 | 2017 | 15 | |
| 8 | 2017 | 71 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 92 | |
| 11 | 2017 | 0 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 16 | |
| 16 | 2016 | 55 | |
| 17 | 2016 | 2 | |
| 18 | 2015 | 10 | |
| 19 | 2014 | 4 |
About Animesh Kumar Paul
Animesh Kumar Paul is a scholar working on Health Information Management, Artificial Intelligence and Control and Systems Engineering, having authored 19 papers that have together received 343 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (4 papers), Bioinformatics and Genomic Networks (3 papers), Artificial Intelligence in Healthcare (3 papers), Functional Brain Connectivity Studies (3 papers), Gene expression and cancer classification (3 papers), Advanced Control Systems Design (2 papers), Data Mining Algorithms and Applications (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Health Information Management (122 citations), Medical Laboratory Technology (13 citations) and Artificial Intelligence (145 citations). Animesh Kumar Paul has collaborated with scholars based in Bangladesh, India and Canada. Frequent co-authors include Pintu Chandra Shill, Amaresh C. Pradhan, G. Ranga Rao, Kazuyuki Murase, M. A. H. Akhand, Janardhanan C. Narayanaswamy, Andrew J. Greenshaw, Venkataram Shivakumar, Sunil V. Kalmady and Russell Greiner. Their work appears in journals such as Information Sciences, Computer Methods and Programs in Biomedicine and Frontiers in Psychiatry.
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.