Monjoy Saha
- Health Informatics top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques 4
- Artificial Intelligence top 5%
- AI in cancer detection 9
- Machine Learning in Healthcare 2
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- Radiomics and Machine Learning in Medical Imaging 7
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- Image Retrieval and Classification Techniques 3
- Digital Imaging for Blood Diseases 2
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- Lung Cancer Diagnosis and Treatment 3
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- Gene expression and cancer classification 3
- Co-authors
- Chandan ChakrabortyDaniel RacoceanuSanjoy ChatterjeeIndu ArunRosina AhmedRashmi MukherjeeMuhammad NaeemAurobinda Routray
- Journals
- Scientific Reports (2 papers)Tissue and Cell (2 papers)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- IndiaUnited StatesPortugal
In The Last Decade
Monjoy Saha
18 papers receiving 540 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 24
- Biophysics 91
- Artificial Intelligence 371
- Radiology, Nuclear Medicine and Imaging 269
- Computer Vision and Pattern Recognition 172
Countries citing papers authored by Monjoy Saha
This map shows the geographic impact of Monjoy Saha'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 Monjoy Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monjoy Saha more than expected).
Fields of papers citing papers by Monjoy Saha
This network shows the impact of papers produced by Monjoy Saha. 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 Monjoy Saha. The network helps show where Monjoy Saha may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Monjoy Saha, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 37 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 22 | |
| 11 | 2018 | 134 | |
| 12 | 2017 | 147 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 82 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 38 | |
| 18 | 2015 | 25 |
About Monjoy Saha
Monjoy Saha is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Radiation, having authored 18 papers that have together received 559 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cell Image Analysis Techniques (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Image Retrieval and Classification Techniques (3 papers), Gene expression and cancer classification (3 papers), Machine Learning in Healthcare (2 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Health Informatics (24 citations), Biophysics (91 citations), Artificial Intelligence (371 citations), Radiology, Nuclear Medicine and Imaging (269 citations) and Computer Vision and Pattern Recognition (172 citations). Monjoy Saha has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Chandan Chakraborty, Daniel Racoceanu, Sanjoy Chatterjee, Indu Arun, Rosina Ahmed, Rashmi Mukherjee, Muhammad Naeem, Aurobinda Routray, Ashish Sharma and Imon Banerjee. Their work appears in journals such as Scientific Reports, Tissue and Cell, IEEE Transactions on Image Processing, Physics and Imaging in Radiation Oncology and Journal of Medical Systems.
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.