Md. Maniruzzaman
Impact in
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
-
- EEG and Brain-Computer Interfaces 12
-
- ECG Monitoring and Analysis 6
- Co-authors
- Md. Menhazul Abedin (10 shared papers)Md. Jahanur Rahman (15 shared papers)Benojir Ahammed (10 shared papers)Harman S. Suri (6 shared papers)Ayman El‐Baz (4 shared papers)Jasjit S. Suri (3 shared papers)Jungpil Shin (24 shared papers)Md. Al Mehedi Hasan (24 shared papers)
- Journals
- IEEE Access (8 papers)PLoS ONE (8 papers)Scientific Reports (4 papers)Diabetes & Metabolic Syndrome Clinical Research & Reviews (4 papers)Applied Sciences (3 papers)
- Partner nations
- BangladeshJapanUnited States
In The Last Decade
Md. Maniruzzaman
78 papers receiving 1.6k citations
Md. Maniruzzaman's Hit Papers
Peers
Comparison fields: 5 of 143
- Health Information Management 558
- Health Informatics 42
- Artificial Intelligence 495
- Complementary and alternative medicine 105
- Nutrition and Dietetics 151
Countries citing papers authored by Md. Maniruzzaman
This map shows the geographic impact of Md. Maniruzzaman'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 Md. Maniruzzaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Maniruzzaman more than expected).
Fields of papers citing papers by Md. Maniruzzaman
This network shows the impact of papers produced by Md. Maniruzzaman. 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 Md. Maniruzzaman. The network helps show where Md. Maniruzzaman may publish in the future.
Co-authors
The 25 scholars most cited alongside Md. Maniruzzaman, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification and prediction of diabetes disease using machine learning paradigm Hit paper breakdown → | 2020 | 225 |
| 2 | 2018 | 186 | |
| 3 | 2017 | 184 | |
| 4 | 2019 | 84 | |
| 5 | 2021 | 48 | |
| 6 | 2024 | 43 | |
| 7 | 2021 | 43 | |
| 8 | 2018 | 42 | |
| 9 | 2023 | 41 | |
| 10 | 2019 | 35 | |
| 11 | 2020 | 34 | |
| 12 | 2022 | 34 | |
| 13 | 2022 | 34 | |
| 14 | 2020 | 32 | |
| 15 | 2012 | 32 | |
| 16 | 2022 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 2023 | 25 | |
| 20 | 2019 | 25 |
About Md. Maniruzzaman
Md. Maniruzzaman is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Health Information Management, Nutrition and Dietetics and Pediatrics, Perinatology and Child Health, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Artificial Intelligence in Healthcare (12 papers), Child Nutrition and Water Access (11 papers), Attention Deficit Hyperactivity Disorder (8 papers), Global Maternal and Child Health (7 papers), ECG Monitoring and Analysis (6 papers), Imbalanced Data Classification Techniques (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Health Information Management (558 citations), Health Informatics (42 citations), Artificial Intelligence (495 citations), Complementary and alternative medicine (105 citations) and Nutrition and Dietetics (151 citations). Md. Maniruzzaman has collaborated with scholars based in Bangladesh, Japan and United States. Frequent co-authors include Md. Menhazul Abedin, Md. Jahanur Rahman, Benojir Ahammed, Harman S. Suri, Ayman El‐Baz, Jasjit S. Suri, Jungpil Shin, Md. Al Mehedi Hasan, Nishith Kumar and N.A.M. Faisal Ahmed. Their work appears in journals such as IEEE Access, PLoS ONE, Scientific Reports, Diabetes & Metabolic Syndrome Clinical Research & Reviews and Applied Sciences.
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.