Mosabber Uddin Ahmed
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 4
- Signal Processing top 5%
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- Heart Rate Variability and Autonomic Control 5
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems 4
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- Neural Networks and Applications 5
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- Muscle activation and electromyography studies 4
- Gait Recognition and Analysis 3
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- Complex Systems and Time Series Analysis 3
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- COVID-19 diagnosis using AI 2
- Co-authors
- Danilo P. MandicSudhin ThayyilTheerasak ChanwimalueangPhilip H. CoombsMd. Ahasan Atick FaisalMd Atiqur Rahman AhadLing LiJianting Cao
- Partner nations
- BangladeshUnited KingdomQatar
In The Last Decade
Mosabber Uddin Ahmed
29 papers receiving 824 citations
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 235
- Signal Processing 116
- Statistical and Nonlinear Physics 118
- Cardiology and Cardiovascular Medicine 202
- Human-Computer Interaction 46
Countries citing papers authored by Mosabber Uddin Ahmed
This map shows the geographic impact of Mosabber Uddin Ahmed'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 Mosabber Uddin Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mosabber Uddin Ahmed more than expected).
Fields of papers citing papers by Mosabber Uddin Ahmed
This network shows the impact of papers produced by Mosabber Uddin Ahmed. 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 Mosabber Uddin Ahmed. The network helps show where Mosabber Uddin Ahmed may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mosabber Uddin Ahmed, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 0 | |
| 13 | 2020 | 1 | |
| 14 | 2016 | 69 | |
| 15 | 2016 | 11 | |
| 16 | 2012 | 11 | |
| 17 | 2011 | 274 | |
| 18 | 2011 | 31 | |
| 19 | 2010 | 16 | |
| 20 | Education for rural development; case studies for planners. | 1975 | 29 |
About Mosabber Uddin Ahmed
Mosabber Uddin Ahmed is a scholar working on Human-Computer Interaction, Physical Therapy, Sports Therapy and Rehabilitation and Artificial Intelligence, having authored 32 papers that have together received 855 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (5 papers), Neural Networks and Applications (5 papers), Muscle activation and electromyography studies (4 papers), EEG and Brain-Computer Interfaces (4 papers), Hand Gesture Recognition Systems (4 papers), Gait Recognition and Analysis (3 papers), Complex Systems and Time Series Analysis (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Cognitive Neuroscience (235 citations), Signal Processing (116 citations) and Statistical and Nonlinear Physics (118 citations). Mosabber Uddin Ahmed has collaborated with scholars based in Bangladesh, United Kingdom and Qatar. Frequent co-authors include Danilo P. Mandic, Sudhin Thayyil, Theerasak Chanwimalueang, Philip H. Coombs, Md. Ahasan Atick Faisal, Md Atiqur Rahman Ahad, Ling Li, Jianting Cao, David Looney and Naveed ur Rehman. Their work appears in journals such as Scientific Reports, IEEE Access and Natural Hazards.
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.