Fahmida Haque
Impact in
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- Artificial Intelligence in Healthcare
- Aquatic Science top 10%
- Innovations in Aquaponics and Hydroponics Systems
Papers in
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- Muscle activation and electromyography studies 9
- Advanced Sensor and Energy Harvesting Materials 3
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- Diabetes Management and Research 4
- Co-authors
- Mamun Bin Ibne Reaz (25 shared papers)Mohammad Arif Sobhan Bhuiyan (17 shared papers)Sawal Hamid Md Ali (15 shared papers)Muhammad E. H. Chowdhury (8 shared papers)Shamim Ahmad (12 shared papers)Ahmad Ashrif A. Bakar (10 shared papers)Geetika Srivastava (5 shared papers)Norhana Arsad (4 shared papers)
- Journals
- IEEE Access (3 papers)Sensors (3 papers)Computational Intelligence and Neuroscience (2 papers)Computers in Biology and Medicine (2 papers)Journal of Personalized Medicine (1 paper)
- Partner nations
- MalaysiaBangladeshUnited States
In The Last Decade
Fahmida Haque
32 papers receiving 396 citations
Peers
Comparison fields: 5 of 104
- Health Information Management 36
- Aquatic Science 30
- Endocrinology, Diabetes and Metabolism 56
- Rehabilitation 20
- Cognitive Neuroscience 44
Countries citing papers authored by Fahmida Haque
This map shows the geographic impact of Fahmida Haque'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 Fahmida Haque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahmida Haque more than expected).
Fields of papers citing papers by Fahmida Haque
This network shows the impact of papers produced by Fahmida Haque. 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 Fahmida Haque. The network helps show where Fahmida Haque may publish in the future.
Co-authors
The 25 scholars most cited alongside Fahmida Haque, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2022 | 49 | |
| 3 | 2021 | 27 | |
| 4 | 2022 | 24 | |
| 5 | 2021 | 23 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2013 | 6 |
About Fahmida Haque
Fahmida Haque is a scholar working on Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Health Information Management and Electrical and Electronic Engineering, having authored 35 papers that have together received 407 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (6 papers), Artificial Intelligence in Healthcare (5 papers), Diabetes Management and Research (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Health Information Management (36 citations), Aquatic Science (30 citations), Endocrinology, Diabetes and Metabolism (56 citations), Rehabilitation (20 citations) and Cognitive Neuroscience (44 citations). Fahmida Haque has collaborated with scholars based in Malaysia, Bangladesh and United States. Frequent co-authors include Mamun Bin Ibne Reaz, Mohammad Arif Sobhan Bhuiyan, Sawal Hamid Md Ali, Muhammad E. H. Chowdhury, Shamim Ahmad, Ahmad Ashrif A. Bakar, Geetika Srivastava, Norhana Arsad, Amith Khandakar and Nasser Al‐Emadi. Their work appears in journals such as IEEE Access, Sensors, Computational Intelligence and Neuroscience, Computers in Biology and Medicine and Journal of Personalized Medicine.
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.