Md. Ariful Islam
- Health Information Management top 2%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Md. Ziaul Hasan MajumderParthasarathi BhattacharyyaGoutam SahaSaiful IslamMd. Sabab ZulfikerMd. Maruf HossainMohammad Shamsul ArefinScott A. Smolka
- Topics
- Music and Audio Processing (4 papers)Phonocardiography and Auscultation Techniques (4 papers)Respiratory and Cough-Related Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Methods and Programs in BiomedicineTheoretical Computer Science
- Partner nations
- BangladeshIndiaAustria
In The Last Decade
Md. Ariful Islam
16 papers receiving 271 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Health Information Management 110
- Pulmonary and Respiratory Medicine 96
- Artificial Intelligence 73
- Signal Processing 54
- Radiology, Nuclear Medicine and Imaging 24
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-authorship network of co-authors of Md. Ariful Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Ariful Islam. A scholar is included among the top collaborators of Md. Ariful Islam 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 Md. Ariful Islam. Md. Ariful Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | Chronic kidney disease prediction based on machine learning algorithmsbreakdown → | 119 |
| 8 | 3 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 63 | |
| 14 | 25 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 9 |
About Md. Ariful Islam
Md. Ariful Islam is a scholar working on Health Information Management, Signal Processing and Neurology, having authored 18 papers that have together received 282 indexed citations. Recurring topics across this work include Music and Audio Processing (4 papers), Phonocardiography and Auscultation Techniques (4 papers) and Respiratory and Cough-Related Research (3 papers). The work is most often cited by research in Health Information Management (110 citations), Health Informatics (12 citations) and Signal Processing (54 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, Saiful Islam, Md. Sabab Zulfiker, Md. Maruf Hossain, Mohammad Shamsul Arefin, Scott A. Smolka, Elizabeth M. Cherry and Ezio Bartocci. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Theoretical Computer Science.
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.