Mohammad Adibuzzaman
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Atrial Fibrillation Management and Outcomes 3
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- Machine Learning in Healthcare 5
- Co-authors
- Poching DeLaurentis (2 shared papers)Brian D. Benneyworth (2 shared papers)Sheikh Iqbal Ahamed (8 shared papers)Jennifer Hill (1 shared paper)Vida Abedi (3 shared papers)Ramin Zand (3 shared papers)Richard R. Love (7 shared papers)Xiao Wang (1 shared paper)
- Journals
- Liver International (1 paper)Artificial Intelligence in Medicine (1 paper)Journal of Hepatology (1 paper)BMC Nephrology (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- United StatesBangladeshTaiwan
In The Last Decade
Mohammad Adibuzzaman
25 papers receiving 263 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 21
- Health Information Management 39
- Applied Psychology 19
- Hepatology 23
- Nephrology 18
Countries citing papers authored by Mohammad Adibuzzaman
This map shows the geographic impact of Mohammad Adibuzzaman'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 Mohammad Adibuzzaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Adibuzzaman more than expected).
Fields of papers citing papers by Mohammad Adibuzzaman
This network shows the impact of papers produced by Mohammad Adibuzzaman. 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 Mohammad Adibuzzaman. The network helps show where Mohammad Adibuzzaman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Adibuzzaman, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 46 | |
| 2 | Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database. | 2017 | 43 |
| 3 | Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database | 2018 | 34 |
| 4 | 2022 | 28 | |
| 5 | 2012 | 22 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 8 | |
| 8 | 2015 | 8 | |
| 9 | 2012 | 7 | |
| 10 | 2016 | 7 | |
| 11 | Big Data in the Intensive Care Unit. | 2017 | 5 |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2016 | 3 |
About Mohammad Adibuzzaman
Mohammad Adibuzzaman is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Epidemiology, Health Information Management and Surgery, having authored 26 papers that have together received 272 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Atrial Fibrillation Management and Outcomes (3 papers), ICT in Developing Communities (3 papers), Emotion and Mood Recognition (3 papers), Mobile Health and mHealth Applications (3 papers), Artificial Intelligence in Healthcare (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (21 citations), Health Information Management (39 citations), Applied Psychology (19 citations), Hepatology (23 citations) and Nephrology (18 citations). Mohammad Adibuzzaman has collaborated with scholars based in United States, Bangladesh and Taiwan. Frequent co-authors include Poching DeLaurentis, Brian D. Benneyworth, Sheikh Iqbal Ahamed, Jennifer Hill, Vida Abedi, Ramin Zand, Richard R. Love, Xiao Wang, Yao Chen and Ananth Grama. Their work appears in journals such as Liver International, Artificial Intelligence in Medicine, Journal of Hepatology, BMC Nephrology and Frontiers in Neurology.
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.