S. Rafi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Artificial Intelligence in Healthcare and Education 2
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- Spam and Phishing Detection 2
- Software Engineering Research 1
- Co-authors
- Kevin Moran (1 shared paper)Thomas D. LaToza (1 shared paper)Wing Lam (2 shared papers)Muhammad Nazrul Islam (1 shared paper)A.K.M. Najmul Islam (1 shared paper)Iqbal H. Sarker (1 shared paper)Md. Shohrab Hossain (1 shared paper)Mumtaz Ahmad (1 shared paper)
- Journals
- IEEE Transactions on Artificial Intelligence (1 paper)International Journal of Advanced Research (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)PubMed (1 paper)Journal of Evolution of Medical and Dental Sciences (1 paper)
- Partner nations
- United StatesBangladeshMorocco
In The Last Decade
S. Rafi
9 papers receiving 270 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 114
- Computer Science Applications 54
- Software 20
- Artificial Intelligence 112
- Radiology, Nuclear Medicine and Imaging 60
Countries citing papers authored by S. Rafi
This map shows the geographic impact of S. Rafi'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 S. Rafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Rafi more than expected).
Fields of papers citing papers by S. Rafi
This network shows the impact of papers produced by S. Rafi. 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 S. Rafi. The network helps show where S. Rafi may publish in the future.
Co-authors
The 11 scholars most cited alongside S. Rafi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 178 | |
| 2 | 2020 | 72 | |
| 3 | Efficacy of bronchial wash cytology and its correlation with biopsy in lung tumours. | 2004 | 15 |
| 4 | 2020 | 8 | |
| 5 | 2018 | 5 | |
| 6 | 2025 | 1 | |
| 7 | 2020 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2017 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 |
About S. Rafi
S. Rafi is a scholar working on Health Informatics, Information Systems, Endocrinology, Diabetes and Metabolism, Anatomy and Infectious Diseases, having authored 12 papers that have together received 282 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Spam and Phishing Detection (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Software Engineering Research (1 paper), History of Medicine Studies (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Dietary Effects on Health (1 paper). The work is most often cited by research in Health Informatics (114 citations), Computer Science Applications (54 citations), Software (20 citations), Artificial Intelligence (112 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). S. Rafi has collaborated with scholars based in United States, Bangladesh and Morocco. Frequent co-authors include Kevin Moran, Thomas D. LaToza, Wing Lam, Muhammad Nazrul Islam, A.K.M. Najmul Islam, Iqbal H. Sarker, Md. Shohrab Hossain, Mumtaz Ahmad, Md. Afzal Hossain and August Shi. Their work appears in journals such as IEEE Transactions on Artificial Intelligence, International Journal of Advanced Research, Zenodo (CERN European Organization for Nuclear Research), PubMed and Journal of Evolution of Medical and Dental Sciences.
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.