Md. Ariful Islam
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 2
- Machine Learning in Healthcare 2
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- Music and Audio Processing 3
- Co-authors
- Md. Ziaul Hasan Majumder (1 shared paper)Parthasarathi Bhattacharyya (3 shared papers)Goutam Saha (3 shared papers)Minhaz Uddin Emon (1 shared paper)Maria Sultana Keya (1 shared paper)Md. Sabab Zulfiker (1 shared paper)Md. Maruf Hossain (3 shared papers)Saiful Islam (1 shared paper)
- Journals
- Journal of Pathology Informatics (1 paper)Biomedical Signal Processing and Control (1 paper)Theoretical Computer Science (1 paper)International Journal of Science and Research Archive (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (2 papers)
- Partner nations
- BangladeshIndiaAustria
In The Last Decade
Md. Ariful Islam
15 papers receiving 236 citations
Md. Ariful Islam's Hit Papers
Peers
Comparison fields: 5 of 57
- Health Information Management 119
- Health Informatics 7
- Issues, ethics and legal aspects 3
- Artificial Intelligence 75
- Nephrology 15
Countries citing papers authored by Md. Ariful Islam
This map shows the geographic impact of Md. Ariful 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 Md. Ariful Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Ariful Islam more than expected).
Fields of papers citing papers by Md. Ariful Islam
This network shows the impact of papers produced by Md. Ariful 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 Md. Ariful Islam. The network helps show where Md. Ariful Islam may publish in the future.
Co-authors
The 25 scholars most cited alongside Md. Ariful 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
| # | Work | ||
|---|---|---|---|
| 1 | Chronic kidney disease prediction based on machine learning algorithms Hit paper breakdown → | 2023 | 141 |
| 2 | 2018 | 25 | |
| 3 | 2021 | 23 | |
| 4 | 2014 | 9 | |
| 5 | 2024 | 8 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2016 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 |
About Md. Ariful Islam
Md. Ariful Islam is a scholar working on Artificial Intelligence, Signal Processing, Health Information Management, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 249 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Music and Audio Processing (3 papers), Phonocardiography and Auscultation Techniques (3 papers), AI in cancer detection (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Brain Tumor Detection and Classification (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Information Management (119 citations), Health Informatics (7 citations), Issues, ethics and legal aspects (3 citations), Artificial Intelligence (75 citations) and Nephrology (15 citations). Md. Ariful Islam has collaborated with scholars based in Bangladesh, India and Austria. Frequent co-authors include Md. Ziaul Hasan Majumder, Parthasarathi Bhattacharyya, Goutam Saha, Minhaz Uddin Emon, Maria Sultana Keya, Md. Sabab Zulfiker, Md. Maruf Hossain, Saiful Islam, Mohammad Shamsul Arefin and Ezio Bartocci. Their work appears in journals such as Journal of Pathology Informatics, Biomedical Signal Processing and Control, Theoretical Computer Science, International Journal of Science and Research Archive and DOAJ (DOAJ: Directory of Open Access Journals).
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.