Saifur Rahman
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Co-authors
- James Jin KangJingwen ZhouChandan KarmakarRichard A. Stirling-GallacherJohn YearwoodShantanu PalE.N. OnggosanusiMarimuthu Palaniswami
- Topics
- Advanced MIMO Systems Optimization (11 papers)ECG Monitoring and Analysis (9 papers)Non-Invasive Vital Sign Monitoring (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Communications Magazine
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Saifur Rahman
28 papers receiving 435 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 182
- Computer Networks and Communications 89
- Artificial Intelligence 78
- Cardiology and Cardiovascular Medicine 66
- Biomedical Engineering 49
Countries citing papers authored by Saifur Rahman
This map shows the geographic impact of Saifur 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 Saifur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saifur Rahman more than expected).
Fields of papers citing papers by Saifur Rahman
This network shows the impact of papers produced by Saifur 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 Saifur Rahman. The network helps show where Saifur Rahman may publish in the future.
Co-authorship network of co-authors of Saifur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Saifur Rahman. A scholar is included among the top collaborators of Saifur Rahman 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 Saifur Rahman. Saifur Rahman 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challengesbreakdown → | 142 |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 5 |
About Saifur Rahman
Saifur Rahman is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Computer Networks and Communications, having authored 37 papers that have together received 453 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (11 papers), ECG Monitoring and Analysis (9 papers) and Non-Invasive Vital Sign Monitoring (8 papers). The work is most often cited by research in Health Informatics (12 citations), Health Information Management (24 citations) and Computer Networks and Communications (89 citations). Saifur Rahman has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include James Jin Kang, Jingwen Zhou, Chandan Karmakar, Richard A. Stirling-Gallacher, John Yearwood, Shantanu Pal, E.N. Onggosanusi, Marimuthu Palaniswami, Iynkaran Natgunanathan and Aaron B. Wagner. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.
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.