Mobarakol Islam
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
-
- Domain Adaptation and Few-Shot Learning 11
- Neural Networks and Applications 6
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- Multimodal Machine Learning Applications 8
- Advanced Neural Network Applications 6
- Co-authors
- Hongliang Ren (24 shared papers)Mengya Xu (7 shared papers)Chwee Ming Lim (4 shared papers)Indika Perera (1 shared paper)Dulani Meedeniya (1 shared paper)Vibashan VS (2 shared papers)Long Bai (5 shared papers)An Wang (4 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (6 papers)IEEE Transactions on Automation Science and Engineering (2 papers)IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Medical Imaging (2 papers)Information Fusion (2 papers)
- Partner nations
- United KingdomHong KongSingapore
In The Last Decade
Mobarakol Islam
40 papers receiving 362 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 22
- Computer Vision and Pattern Recognition 121
- Neurology 48
- Radiology, Nuclear Medicine and Imaging 105
- Artificial Intelligence 122
Countries citing papers authored by Mobarakol Islam
This map shows the geographic impact of Mobarakol Islam'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 Mobarakol Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mobarakol Islam more than expected).
Fields of papers citing papers by Mobarakol Islam
This network shows the impact of papers produced by Mobarakol Islam. 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 Mobarakol Islam. The network helps show where Mobarakol Islam may publish in the future.
Co-authors
The 25 scholars most cited alongside Mobarakol Islam, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 24 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2024 | 17 | |
| 9 | 2017 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2012 | 7 | |
| 17 | 2011 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 5 |
About Mobarakol Islam
Mobarakol Islam is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 370 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (8 papers), Surgical Simulation and Training (7 papers), Advanced Neural Network Applications (6 papers), Neural Networks and Applications (6 papers), Anatomy and Medical Technology (4 papers), Robotics and Sensor-Based Localization (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (22 citations), Computer Vision and Pattern Recognition (121 citations), Neurology (48 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Artificial Intelligence (122 citations). Mobarakol Islam has collaborated with scholars based in United Kingdom, Hong Kong and Singapore. Frequent co-authors include Hongliang Ren, Mengya Xu, Chwee Ming Lim, Indika Perera, Dulani Meedeniya, Vibashan VS, Long Bai, An Wang, Weng Kin Wong and Long Bai. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, IEEE Transactions on Medical Imaging and Information Fusion.
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.