Binish Fatimah
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in ⓘ
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- Blind Source Separation Techniques 7
- Speech and Audio Processing 4
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- EEG and Brain-Computer Interfaces 10
- Co-authors
- Pushpendra Singh (14 shared papers)Amit Singhal (12 shared papers)Ram Bilas Pachori (5 shared papers)Shiv Dutt Joshi (7 shared papers)Anubha Gupta (6 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)IEEE Transactions on Instrumentation and Measurement (1 paper)
- Partner nations
- India
In The Last Decade
Binish Fatimah
26 papers receiving 541 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 233
- Signal Processing 93
- Cardiology and Cardiovascular Medicine 195
- Health Informatics 11
- Developmental Biology 10
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 10 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2020 | 93 | |
| 3 | 2022 | 90 | |
| 4 | 2021 | 52 | |
| 5 | 2021 | 40 | |
| 6 | 2022 | 38 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2009 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2015 | 3 |
About Binish Fatimah
Binish Fatimah is a scholar working on Signal Processing, Cognitive Neuroscience, Developmental Biology, Modeling and Simulation and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 554 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 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 diagnosis using AI (2 papers), Phonocardiography and Auscultation Techniques (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (233 citations), Signal Processing (93 citations), Cardiology and Cardiovascular Medicine (195 citations), Health Informatics (11 citations) and Developmental Biology (10 citations). Binish Fatimah has collaborated with scholars based in India. 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 IEEE Transactions on Instrumentation and Measurement.
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.