Saifuddin Mahmud
Impact in
-
- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- Software Engineering Research 5
- Co-authors
- Md. Milon Islam (5 shared papers)Wenyu Chen (9 shared papers)Hosney Jahan (9 shared papers)Jong‐Hoon Kim (4 shared papers)Mohammad Ali Moni (5 shared papers)Mohammad Marufur Rahman (1 shared paper)Kawsar Ahmed (5 shared papers)Sheikh Nooruddin (2 shared papers)
- Journals
- IEEE Access (4 papers)Briefings in Bioinformatics (4 papers)Analytical Biochemistry (2 papers)Journal of Systems Architecture (1 paper)Genomics (1 paper)
- Partner nations
- BangladeshUnited StatesChina
In The Last Decade
Saifuddin Mahmud
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 141
- Health Information Management 53
- Health Informatics 15
- Software 47
- Computational Theory and Mathematics 162
- Radiology, Nuclear Medicine and Imaging 194
Countries citing papers authored by Saifuddin Mahmud
This map shows the geographic impact of Saifuddin Mahmud'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 Saifuddin Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saifuddin Mahmud more than expected).
Fields of papers citing papers by Saifuddin Mahmud
This network shows the impact of papers produced by Saifuddin Mahmud. 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 Saifuddin Mahmud. The network helps show where Saifuddin Mahmud may publish in the future.
Co-authors
The 25 scholars most cited alongside Saifuddin Mahmud, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2020 | 95 | |
| 3 | 2021 | 78 | |
| 4 | 2019 | 63 | |
| 5 | 2021 | 58 | |
| 6 | 2021 | 56 | |
| 7 | 2020 | 45 | |
| 8 | 2020 | 45 | |
| 9 | 2019 | 45 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 37 | |
| 12 | 2020 | 34 | |
| 13 | 2020 | 34 | |
| 14 | 2018 | 34 | |
| 15 | 2019 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2020 | 24 | |
| 18 | 2020 | 22 | |
| 19 | 2019 | 20 | |
| 20 | 2024 | 19 |
About Saifuddin Mahmud
Saifuddin Mahmud is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Computational Theory and Mathematics, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Linguistics and Language Analysis (7 papers), Computational Drug Discovery Methods (6 papers), Machine Learning in Bioinformatics (6 papers), Software Engineering Research (5 papers), Teaching and Learning Programming (5 papers), COVID-19 diagnosis using AI (5 papers), Software Reliability and Analysis Research (5 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Health Information Management (53 citations), Health Informatics (15 citations), Software (47 citations), Computational Theory and Mathematics (162 citations) and Radiology, Nuclear Medicine and Imaging (194 citations). Saifuddin Mahmud has collaborated with scholars based in Bangladesh, United States and China. Frequent co-authors include Md. Milon Islam, Wenyu Chen, Hosney Jahan, Jong‐Hoon Kim, Mohammad Ali Moni, Mohammad Marufur Rahman, Kawsar Ahmed, Sheikh Nooruddin, Yongsheng Liu and Md. Abdul Awal. Their work appears in journals such as IEEE Access, Briefings in Bioinformatics, Analytical Biochemistry, Journal of Systems Architecture and Genomics.
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.