Mohsin Bilal
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 10
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- Image and Signal Denoising Methods 6
- Advanced Image Processing Techniques 5
- Co-authors
- Nasir Rajpoot (13 shared papers)Simon Graham (9 shared papers)Fayyaz Minhas (9 shared papers)Shan E Ahmed Raza (9 shared papers)David Snead (8 shared papers)Muhammad Arif (3 shared papers)Ahmed Kattan (1 shared paper)Sheikh Iqbal Ahamed (1 shared paper)
- Journals
- British Journal of Cancer (2 papers)Journal of Medical Systems (2 papers)Modern Pathology (2 papers)Multimedia Tools and Applications (2 papers)Medical Image Analysis (2 papers)
- Partner nations
- United KingdomPakistanSaudi Arabia
In The Last Decade
Mohsin Bilal
30 papers receiving 535 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 24
- Radiology, Nuclear Medicine and Imaging 206
- Artificial Intelligence 283
- Biophysics 46
- Computer Vision and Pattern Recognition 146
Countries citing papers authored by Mohsin Bilal
This map shows the geographic impact of Mohsin Bilal'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 Mohsin Bilal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohsin Bilal more than expected).
Fields of papers citing papers by Mohsin Bilal
This network shows the impact of papers produced by Mohsin Bilal. 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 Mohsin Bilal. The network helps show where Mohsin Bilal may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohsin Bilal, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 150 | |
| 2 | 2014 | 74 | |
| 3 | 2022 | 52 | |
| 4 | 2020 | 36 | |
| 5 | 2019 | 32 | |
| 6 | 2009 | 28 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2017 | 11 | |
| 14 | 2023 | 9 | |
| 15 | 2012 | 9 | |
| 16 | 2023 | 8 | |
| 17 | Pattern Of Causative Micro-Organisms In Catheter Related Blood Stream Infections In Dialysis Patients: Experience From Saudi Arabia. | 2018 | 6 |
| 18 | 2013 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2023 | 5 |
About Mohsin Bilal
Mohsin Bilal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 557 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Image and Signal Denoising Methods (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Image Processing Techniques (5 papers), Cancer Cells and Metastasis (4 papers), Advanced Image Fusion Techniques (4 papers), Cancer Genomics and Diagnostics (4 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (206 citations), Artificial Intelligence (283 citations), Biophysics (46 citations) and Computer Vision and Pattern Recognition (146 citations). Mohsin Bilal has collaborated with scholars based in United Kingdom, Pakistan and Saudi Arabia. Frequent co-authors include Nasir Rajpoot, Simon Graham, Fayyaz Minhas, Shan E Ahmed Raza, David Snead, Muhammad Arif, Ahmed Kattan, Sheikh Iqbal Ahamed, Ian A. Cree and Mohammad Ilyas. Their work appears in journals such as British Journal of Cancer, Journal of Medical Systems, Modern Pathology, Multimedia Tools and Applications and Medical Image Analysis.
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.