Tawsifur Rahman
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- COVID-19 diagnosis using AI 17
- Radiomics and Machine Learning in Medical Imaging 9
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- Machine Learning in Healthcare 5
- AI in cancer detection 5
- Co-authors
- Muhammad E. H. Chowdhury (37 shared papers)Amith Khandakar (30 shared papers)Mohammad Tariqul Islam (10 shared papers)Khandaker Reajul Islam (9 shared papers)Muhammad Salman Khan (6 shared papers)Zaid Bin Mahbub (5 shared papers)Muhammad Abdul Kadir (3 shared papers)Saad Bin Abul Kashem (7 shared papers)
- Journals
- IEEE Access (5 papers)Sensors (4 papers)Computers in Biology and Medicine (4 papers)Biosensors (2 papers)Cognitive Computation (2 papers)
- Partner nations
- QatarMalaysiaBangladesh
In The Last Decade
Tawsifur Rahman
38 papers receiving 3.7k citations
Tawsifur Rahman's Hit Papers
Peers
Comparison fields: 5 of 155
- Health Informatics 305
- Radiology, Nuclear Medicine and Imaging 2.6k
- Artificial Intelligence 1.6k
- General Dentistry 57
- Health Information Management 148
Countries citing papers authored by Tawsifur Rahman
This map shows the geographic impact of Tawsifur Rahman'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 Tawsifur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tawsifur Rahman more than expected).
Fields of papers citing papers by Tawsifur Rahman
This network shows the impact of papers produced by Tawsifur Rahman. 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 Tawsifur Rahman. The network helps show where Tawsifur Rahman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tawsifur Rahman, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Can AI Help in Screening Viral and COVID-19 Pneumonia? Hit paper breakdown → | 2020 | 1190 |
| 2 | Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images Hit paper breakdown → | 2021 | 696 |
| 3 | Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray Hit paper breakdown → | 2020 | 414 |
| 4 | Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization Hit paper breakdown → | 2020 | 387 |
| 5 | Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques Hit paper breakdown → | 2021 | 228 |
| 6 | COVID-19 infection localization and severity grading from chest X-ray images Hit paper breakdown → | 2022 | 126 |
| 7 | 2022 | 66 | |
| 8 | 2022 | 55 | |
| 9 | 2022 | 47 | |
| 10 | 2020 | 44 | |
| 11 | 2022 | 41 | |
| 12 | 2022 | 40 | |
| 13 | 2021 | 38 | |
| 14 | 2023 | 37 | |
| 15 | 2022 | 36 | |
| 16 | 2022 | 35 | |
| 17 | 2022 | 34 | |
| 18 | 2023 | 33 | |
| 19 | 2022 | 32 | |
| 20 | 2021 | 31 |
About Tawsifur Rahman
Tawsifur Rahman is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 40 papers that have together received 3.8k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (17 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Machine Learning in Healthcare (5 papers), AI in cancer detection (5 papers), COVID-19 Clinical Research Studies (4 papers), ECG Monitoring and Analysis (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (305 citations), Radiology, Nuclear Medicine and Imaging (2.6k citations), Artificial Intelligence (1.6k citations), General Dentistry (57 citations) and Health Information Management (148 citations). Tawsifur Rahman has collaborated with scholars based in Qatar, Malaysia and Bangladesh. Frequent co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Mohammad Tariqul Islam, Khandaker Reajul Islam, Muhammad Salman Khan, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem, Rashid Mazhar and Mamun Bin Ibne Reaz. Their work appears in journals such as IEEE Access, Sensors, Computers in Biology and Medicine, Biosensors and Cognitive Computation.
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.