Binish Fatimah
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
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- ECG Monitoring and Analysis
Papers in
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- EEG and Brain-Computer Interfaces 11
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- Blind Source Separation Techniques 7
- Speech and Audio Processing 4
- Co-authors
- Pushpendra Singh (15 shared papers)Amit Singhal (13 shared papers)Ram Bilas Pachori (5 shared papers)Shiv Dutt Joshi (7 shared papers)Anubha Gupta (7 shared papers)Priya Aggarwal (2 shared papers)Pranav Soman (1 shared paper)Abhishek Javali (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (3 papers)Computers in Biology and Medicine (2 papers)Journal of Applied Biomedicine (1 paper)IEEE Signal Processing Magazine (1 paper)Signal Processing (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Binish Fatimah
28 papers receiving 605 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 245
- Cardiology and Cardiovascular Medicine 204
- Signal Processing 96
- Health Informatics 8
- Human-Computer Interaction 28
Countries citing papers authored by Binish Fatimah
This map shows the geographic impact of Binish Fatimah'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 Binish Fatimah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binish Fatimah more than expected).
Fields of papers citing papers by Binish Fatimah
This network shows the impact of papers produced by Binish Fatimah. 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 Binish Fatimah. The network helps show where Binish Fatimah may publish in the future.
Co-authors
The 18 scholars most cited alongside Binish Fatimah, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2020 | 101 | |
| 3 | 2022 | 100 | |
| 4 | 2021 | 56 | |
| 5 | 2021 | 46 | |
| 6 | 2022 | 42 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2009 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Binish Fatimah
Binish Fatimah is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 31 papers that have together received 617 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Blind Source Separation Techniques (7 papers), ECG Monitoring and Analysis (6 papers), Image and Signal Denoising Methods (5 papers), Speech and Audio Processing (4 papers), COVID-19 epidemiological studies (3 papers), Muscle activation and electromyography studies (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (245 citations), Cardiology and Cardiovascular Medicine (204 citations), Signal Processing (96 citations), Health Informatics (8 citations) and Human-Computer Interaction (28 citations). Binish Fatimah has collaborated with scholars based in India and United States. Frequent co-authors include Pushpendra Singh, Amit Singhal, Ram Bilas Pachori, Shiv Dutt Joshi, Anubha Gupta, Priya Aggarwal, Pranav Soman, Abhishek Javali, G. Priyanka and Siddarth Jain. Their work appears in journals such as Biomedical Signal Processing and Control, Computers in Biology and Medicine, Journal of Applied Biomedicine, IEEE Signal Processing Magazine and Signal Processing.
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.