Ali Fallah
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Human-Computer Interaction top 10%
Papers in ⓘ
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- EEG and Brain-Computer Interfaces 22
- Motor Control and Adaptation 8
- Co-authors
- Saeid Rashidi (33 shared papers)Farzad Towhidkhah (7 shared papers)Ali Maleki (18 shared papers)Farnaz Ghassemi (9 shared papers)Mohsin Raza (4 shared papers)María Lindén (1 shared paper)Hamid GholamHosseini (1 shared paper)Amir Homayoun Jafari (4 shared papers)
In The Last Decade
Ali Fallah
71 papers receiving 468 citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 183
- Human-Computer Interaction 31
- Computer Vision and Pattern Recognition 99
- Signal Processing 52
- Cardiology and Cardiovascular Medicine 84
Countries citing papers authored by Ali Fallah
This map shows the geographic impact of Ali Fallah'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 Ali Fallah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Fallah more than expected).
Fields of papers citing papers by Ali Fallah
This network shows the impact of papers produced by Ali Fallah. 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 Ali Fallah. The network helps show where Ali Fallah may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Fallah, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 49 | |
| 2 | 2015 | 36 | |
| 3 | Removing ECG Artifact from the Surface EMG Signal Using Adaptive Subtraction Technique. | 2014 | 23 |
| 4 | 2016 | 20 | |
| 5 | 2019 | 16 | |
| 6 | 2014 | 16 | |
| 7 | 2018 | 15 | |
| 8 | 2014 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2013 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2012 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2011 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2017 | 9 |
About Ali Fallah
Ali Fallah is a scholar working on Cognitive Neuroscience, Signal Processing, Human-Computer Interaction, Biomedical Engineering and Neurology, having authored 81 papers that have together received 489 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Muscle activation and electromyography studies (21 papers), ECG Monitoring and Analysis (9 papers), Ultrasound Imaging and Elastography (8 papers), Motor Control and Adaptation (8 papers), Handwritten Text Recognition Techniques (6 papers), Elasticity and Material Modeling (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (183 citations), Human-Computer Interaction (31 citations), Computer Vision and Pattern Recognition (99 citations), Signal Processing (52 citations) and Cardiology and Cardiovascular Medicine (84 citations). Ali Fallah has collaborated with scholars based in Iran, Germany and Sweden. Frequent co-authors include Saeid Rashidi, Farzad Towhidkhah, Ali Maleki, Farnaz Ghassemi, Mohsin Raza, María Lindén, Hamid GholamHosseini, Amir Homayoun Jafari, Hamidreza Pouretemad and Javad Razjouyan. Their work appears in journals such as Biomedical Signal Processing and Control, Journal of Molecular Liquids, International Journal of Bifurcation and Chaos, International Journal of Computational Methods and Journal of Electromyography and Kinesiology.
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.