Foad Ghaderi
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
-
- Blind Source Separation Techniques 15
- Speech and Audio Processing 4
-
- EEG and Brain-Computer Interfaces 13
- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 4
- Co-authors
- Saeid Sanei (12 shared papers)H. Mohseni (5 shared papers)Ali Safaei (2 shared papers)Nadia Mammone (1 shared paper)M. J. Ebadi (1 shared paper)Elsa Andrea Kirchner (3 shared papers)J.G. McWhirter (5 shared papers)Nasrollah Moghadam Charkari (6 shared papers)
- Journals
- IEEE Transactions on Biomedical Engineering (4 papers)IEEE Access (3 papers)Applied Intelligence (2 papers)Clinical Neurophysiology (1 paper)International Journal of Remote Sensing (1 paper)
- Partner nations
- IranUnited KingdomGermany
In The Last Decade
Foad Ghaderi
45 papers receiving 441 citations
Peers
Comparison fields: 5 of 89
- Signal Processing 119
- Cognitive Neuroscience 150
- Computational Mathematics 2
- Oral Surgery 18
- Neurology 19
Countries citing papers authored by Foad Ghaderi
This map shows the geographic impact of Foad Ghaderi'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 Foad Ghaderi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foad Ghaderi more than expected).
Fields of papers citing papers by Foad Ghaderi
This network shows the impact of papers produced by Foad Ghaderi. 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 Foad Ghaderi. The network helps show where Foad Ghaderi may publish in the future.
Co-authors
The 22 scholars most cited alongside Foad Ghaderi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 101 | |
| 2 | 2022 | 78 | |
| 3 | 2013 | 33 | |
| 4 | 2010 | 22 | |
| 5 | 2023 | 18 | |
| 6 | 2019 | 16 | |
| 7 | 2024 | 14 | |
| 8 | 2009 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2024 | 9 | |
| 12 | 2009 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2010 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2009 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2009 | 6 |
About Foad Ghaderi
Foad Ghaderi is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 48 papers that have together received 457 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (15 papers), EEG and Brain-Computer Interfaces (13 papers), Human Pose and Action Recognition (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Functional Brain Connectivity Studies (4 papers), Neural dynamics and brain function (4 papers), Speech and Audio Processing (4 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Signal Processing (119 citations), Cognitive Neuroscience (150 citations), Computational Mathematics (2 citations), Oral Surgery (18 citations) and Neurology (19 citations). Foad Ghaderi has collaborated with scholars based in Iran, United Kingdom and Germany. Frequent co-authors include Saeid Sanei, H. Mohseni, Ali Safaei, Nadia Mammone, M. J. Ebadi, Elsa Andrea Kirchner, J.G. McWhirter, Nasrollah Moghadam Charkari, Su Kyoung Kim and Bahador Makkiabadi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Access, Applied Intelligence, Clinical Neurophysiology and International Journal of Remote Sensing.
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.