Tonmoy Hossain
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Faisal Muhammad ShahMD Abdullah Al NasimSejuti RahmanSujan SarkerShadman SakibMiaomiao ZhangKhan Md. HasibSohil H. Patel
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (3 papers)COVID-19 diagnosis using AI (3 papers)
- Journals
- Medical Image AnalysisLecture notes in computer scienceInternational Journal of Advanced Computer Science and Applications
- Partner nations
- BangladeshUnited States
In The Last Decade
Tonmoy Hossain
13 papers receiving 256 citations
Peers
Comparison fields: 5 of 52
- Neurology 139
- Radiology, Nuclear Medicine and Imaging 137
- Computer Vision and Pattern Recognition 131
- Artificial Intelligence 100
- Biomedical Engineering 20
Countries citing papers authored by Tonmoy Hossain
This map shows the geographic impact of Tonmoy Hossain'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 Tonmoy Hossain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tonmoy Hossain more than expected).
Fields of papers citing papers by Tonmoy Hossain
This network shows the impact of papers produced by Tonmoy Hossain. 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 Tonmoy Hossain. The network helps show where Tonmoy Hossain may publish in the future.
Co-authorship network of co-authors of Tonmoy Hossain
This figure shows the co-authorship network connecting the top 25 collaborators of Tonmoy Hossain. A scholar is included among the top collaborators of Tonmoy Hossain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tonmoy Hossain. Tonmoy Hossain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 52 | |
| 7 | 19 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 150 | |
| 14 | 1 | |
| 15 | 6 |
About Tonmoy Hossain
Tonmoy Hossain is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Neurology, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Neurology (139 citations), Health Informatics (20 citations) and Computer Vision and Pattern Recognition (131 citations). Tonmoy Hossain has collaborated with scholars based in Bangladesh and United States. Frequent co-authors include Faisal Muhammad Shah, MD Abdullah Al Nasim, Sejuti Rahman, Sujan Sarker, Shadman Sakib, Miaomiao Zhang, Khan Md. Hasib, Miaomiao Zhang, Sohil H. Patel and Jundong Li. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science and International Journal of Advanced Computer Science and 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.