Anirban Mitra
- Ophthalmology top 10%
- Glaucoma and retinal disorders 3
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- Graph Theory and Algorithms 3
- Medical Image Segmentation Techniques 3
- Artificial Intelligence top 10%
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- Rough Sets and Fuzzy Logic 9
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- Peer-to-Peer Network Technologies 4
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- Data Mining Algorithms and Applications 4
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- Complex Network Analysis Techniques 4
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- Emotion and Mood Recognition 3
- Co-authors
- Sudipta RoyS. K. SetuaB. K. TripathySwarup Kr GhoshAnupam GhoshMoumita ChatterjeeSatish IyengarKonasale M. Prasad
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Schizophrenia Research (2 papers)Computer Methods and Programs in Biomedicine (2 papers)Diabetes & Metabolic Syndrome Clinical Research & Reviews (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Anirban Mitra
41 papers receiving 378 citations
Peers
Comparison fields: 5 of 107
- Ophthalmology 60
- Radiology, Nuclear Medicine and Imaging 123
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 94
- Computational Theory and Mathematics 46
Countries citing papers authored by Anirban Mitra
This map shows the geographic impact of Anirban Mitra'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 Anirban Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Mitra more than expected).
Fields of papers citing papers by Anirban Mitra
This network shows the impact of papers produced by Anirban Mitra. 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 Anirban Mitra. The network helps show where Anirban Mitra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anirban Mitra, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 54 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 31 | |
| 15 | 2018 | 42 | |
| 16 | 2017 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 4 | |
| 19 | On Some Aspects of Educational Network | 2013 | 0 |
| 20 | 2013 | 3 |
About Anirban Mitra
Anirban Mitra is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 49 papers that have together received 405 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (9 papers), Peer-to-Peer Network Technologies (4 papers), Data Mining Algorithms and Applications (4 papers), Complex Network Analysis Techniques (4 papers), Graph Theory and Algorithms (3 papers), Medical Image Segmentation Techniques (3 papers), Glaucoma and retinal disorders (3 papers) and Emotion and Mood Recognition (3 papers). The work is most often cited by research in Ophthalmology (60 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Computer Vision and Pattern Recognition (90 citations). Anirban Mitra has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Sudipta Roy, S. K. Setua, B. K. Tripathy, Swarup Kr Ghosh, Anupam Ghosh, Moumita Chatterjee, Satish Iyengar, Konasale M. Prasad, Jonathan E. Rubin and Brojo Kishore Mishra. Their work appears in journals such as Schizophrenia Research, Computer Methods and Programs in Biomedicine, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Indian Journal of Science and Technology and Expert Systems with Applications.
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.