Md. Aynal Haque
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Signal Processing top 5%
- Physiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Ahnaf Rashik HassanM. MuneerMd. Kamrul HasanShahina AkhterMd. Jahangir HossainTareq AzizA.B.M. Sharif HossainMd. Azharul Islam
- Topics
- ECG Monitoring and Analysis (12 papers)Blind Source Separation Techniques (8 papers)EEG and Brain-Computer Interfaces (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsNeurocomputing
- Partner nations
- BangladeshPhilippinesAustralia
In The Last Decade
Md. Aynal Haque
29 papers receiving 521 citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 169
- Biomedical Engineering 156
- Signal Processing 153
- Physiology 125
- Cardiology and Cardiovascular Medicine 114
Countries citing papers authored by Md. Aynal Haque
This map shows the geographic impact of Md. Aynal 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 Md. Aynal Haque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Aynal Haque more than expected).
Fields of papers citing papers by Md. Aynal Haque
This network shows the impact of papers produced by Md. Aynal 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 Md. Aynal Haque. The network helps show where Md. Aynal Haque may publish in the future.
Co-authorship network of co-authors of Md. Aynal Haque
This figure shows the co-authorship network connecting the top 25 collaborators of Md. Aynal Haque. A scholar is included among the top collaborators of Md. Aynal Haque 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 Md. Aynal Haque. Md. Aynal Haque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 20 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 120 | |
| 6 | 18 | |
| 7 | 95 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | ECG comptression using run length encoding | 16 |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 67 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | A Fast Algorithm in Detecting ECG Characteristic Points | 7 |
| 20 | 86 |
About Md. Aynal Haque
Md. Aynal Haque is a scholar working on Signal Processing, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 30 papers that have together received 550 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (12 papers), Blind Source Separation Techniques (8 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Signal Processing (153 citations), Cognitive Neuroscience (169 citations) and Computer Vision and Pattern Recognition (111 citations). Md. Aynal Haque has collaborated with scholars based in Bangladesh, Philippines and Australia. Frequent co-authors include Ahnaf Rashik Hassan, M. Muneer, Md. Kamrul Hasan, Shahina Akhter, Md. Jahangir Hossain, Tareq Aziz, A.B.M. Sharif Hossain, Md. Azharul Islam, Md. Aminur Rahman and Md Bayzidur Rahman. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Neurocomputing.
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.