Mohammad Adibuzzaman
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence
- Health Information Management top 5%
- General Health Professions
- Epidemiology
- Co-authors
- Brian D. BenneyworthPoching DeLaurentisSheikh Iqbal AhamedJennifer HillVida AbediRamin ZandXiao WangYao Chen
- Topics
- Machine Learning in Healthcare (5 papers)ECG Monitoring and Analysis (3 papers)ICT in Developing Communities (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaCHEST JournalJournal of Hepatology
- Partner nations
- United StatesBangladeshTaiwan
In The Last Decade
Mohammad Adibuzzaman
25 papers receiving 263 citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 50
- Artificial Intelligence 46
- Health Information Management 39
- General Health Professions 29
- Epidemiology 26
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-authorship network of co-authors of Mohammad Adibuzzaman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Adibuzzaman. A scholar is included among the top collaborators of Mohammad Adibuzzaman 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 Mohammad Adibuzzaman. Mohammad Adibuzzaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 46 | |
| 11 | Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database | 34 |
| 12 | Big Data in the Intensive Care Unit. | 5 |
| 13 | Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database. | 43 |
| 14 | 8 | |
| 15 | 7 | |
| 16 | Barriers for Breast Cancer (BC) Patients in Rural Bangladesh: Design and Deployment of a Mobile based Solution | 2 |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 7 |
About Mohammad Adibuzzaman
Mohammad Adibuzzaman is a scholar working on Health Information Management, Health Informatics and Critical Care and Intensive Care Medicine, having authored 26 papers that have together received 272 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), ECG Monitoring and Analysis (3 papers) and ICT in Developing Communities (3 papers). The work is most often cited by research in Health Informatics (21 citations), Health Information Management (39 citations) and Applied Psychology (19 citations). Mohammad Adibuzzaman has collaborated with scholars based in United States, Bangladesh and Taiwan. Frequent co-authors include Brian D. Benneyworth, Poching DeLaurentis, Sheikh Iqbal Ahamed, Jennifer Hill, Vida Abedi, Ramin Zand, Xiao Wang, Yao Chen, Richard R. Love and Ananth Grama. Their work appears in journals such as SHILAP Revista de lepidopterología, CHEST Journal and Journal of Hepatology.
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.