Sakib Mahmud
- Health Informatics top 5%
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- COVID-19 diagnosis using AI 9
- Radiomics and Machine Learning in Medical Imaging 7
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- ECG Monitoring and Analysis 10
- Heart Rate Variability and Autonomic Control 7
- Biomedical Engineering top 10%
- Non-Invasive Vital Sign Monitoring 17
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- Healthcare Technology and Patient Monitoring 4
- Orthopaedic implants and arthroplasty 4
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- EEG and Brain-Computer Interfaces 4
- Co-authors
- Muhammad E. H. ChowdhuryAmith KhandakarAnas TahirNabil IbtehazMohamed Arselene AyariTawsifur RahmanSerkan KıranyazSomaya Al-Máadeed
- Journals
- SHILAP Revista de lepidopterología (1 paper)Renewable and Sustainable Energy Reviews (1 paper)PLoS ONE (1 paper)
- Partner nations
- BangladeshQatarMalaysia
In The Last Decade
Sakib Mahmud
72 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 34
- Radiology, Nuclear Medicine and Imaging 307
- Health Information Management 58
- Cardiology and Cardiovascular Medicine 230
- Biomedical Engineering 319
Countries citing papers authored by Sakib Mahmud
This map shows the geographic impact of Sakib 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 Sakib Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakib Mahmud more than expected).
Fields of papers citing papers by Sakib Mahmud
This network shows the impact of papers produced by Sakib 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 Sakib Mahmud. The network helps show where Sakib Mahmud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sakib 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 35 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 14 | |
| 14 | COVID-19 infection localization and severity grading from chest X-ray imagesbreakdown → | 2022 | 116 |
| 15 | 2022 | 67 | |
| 16 | 2022 | 49 | |
| 17 | 2022 | 21 | |
| 18 | 2021 | 88 | |
| 19 | 2021 | 7 | |
| 20 | Promoting digital agriculture through big data for sustainable farm management | 2019 | 33 |
About Sakib Mahmud
Sakib Mahmud is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (17 papers), ECG Monitoring and Analysis (10 papers), COVID-19 diagnosis using AI (9 papers), Heart Rate Variability and Autonomic Control (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Healthcare Technology and Patient Monitoring (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Orthopaedic implants and arthroplasty (4 papers). The work is most often cited by research in Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (307 citations) and Health Information Management (58 citations). Sakib Mahmud has collaborated with scholars based in Bangladesh, Qatar and Malaysia. Frequent co-authors include Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir, Nabil Ibtehaz, Mohamed Arselene Ayari, Tawsifur Rahman, Serkan Kıranyaz, Somaya Al-Máadeed, Yazan Qiblawey and Md Shafayet Hossain. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.