Sharib Ali
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 14
- Advanced Image and Video Retrieval Techniques 7
- Advanced Vision and Imaging 6
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- Radiomics and Machine Learning in Medical Imaging 6
- Retinal Imaging and Analysis 4
- Co-authors
- Debesh Jha (7 shared papers)Nikhil Kumar Tomar (5 shared papers)Jens Rittscher (9 shared papers)Michael A. Riegler (4 shared papers)Pål Halvorsen (5 shared papers)Håvard D. Johansen (2 shared papers)Dag Johansen (2 shared papers)Ulaş Bağcı (1 shared paper)
- Journals
- Medical Image Analysis (5 papers)Computerized Medical Imaging and Graphics (2 papers)Computers in Biology and Medicine (2 papers)International Journal of Computer Assisted Radiology and Surgery (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Sharib Ali
44 papers receiving 1.1k citations
Sharib Ali's Hit Papers
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 494
- Computer Vision and Pattern Recognition 479
- Ophthalmology 118
- Oncology 331
- Health Informatics 15
Countries citing papers authored by Sharib Ali
This map shows the geographic impact of Sharib Ali'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 Sharib Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharib Ali more than expected).
Fields of papers citing papers by Sharib Ali
This network shows the impact of papers produced by Sharib Ali. 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 Sharib Ali. The network helps show where Sharib Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharib Ali, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning Hit paper breakdown → | 2021 | 247 |
| 2 | FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation Hit paper breakdown → | 2022 | 174 |
| 3 | 2022 | 98 | |
| 4 | 2014 | 81 | |
| 5 | 2023 | 73 | |
| 6 | 2020 | 69 | |
| 7 | 2022 | 53 | |
| 8 | 2013 | 49 | |
| 9 | 2022 | 40 | |
| 10 | 2022 | 29 | |
| 11 | 2015 | 27 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2022 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2024 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2020 | 6 |
About Sharib Ali
Sharib Ali is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Artificial Intelligence, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Colorectal Cancer Screening and Detection (11 papers), Advanced Image and Video Retrieval Techniques (7 papers), Surgical Simulation and Training (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Vision and Imaging (6 papers), AI in cancer detection (6 papers) and Retinal Imaging and Analysis (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (494 citations), Computer Vision and Pattern Recognition (479 citations), Ophthalmology (118 citations), Oncology (331 citations) and Health Informatics (15 citations). Sharib Ali has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Debesh Jha, Nikhil Kumar Tomar, Jens Rittscher, Michael A. Riegler, Pål Halvorsen, Håvard D. Johansen, Dag Johansen, Ulaş Bağcı, Thomas P. Karnowski and Désiré Sidibé. Their work appears in journals such as Medical Image Analysis, Computerized Medical Imaging and Graphics, Computers in Biology and Medicine, International Journal of Computer Assisted Radiology and Surgery and npj Digital Medicine.
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.