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
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
-
- Blind Source Separation Techniques 15
- Speech and Audio Processing 4
-
- EEG and Brain-Computer Interfaces 13
- Functional Brain Connectivity Studies 5
- 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)Scientific Reports (1 paper)Clinical Neurophysiology (1 paper)
- Partner nations
- IranUnited KingdomGermany
In The Last Decade
Foad Ghaderi
42 papers receiving 394 citations
Peers
Comparison fields: 5 of 88
- Signal Processing 116
- Cognitive Neuroscience 148
- Computational Mathematics 2
- General Dentistry 6
- Applied Mathematics 26
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 21 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 99 | |
| 2 | 2022 | 70 | |
| 3 | 2013 | 30 | |
| 4 | 2010 | 21 | |
| 5 | 2019 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2009 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2009 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2009 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2009 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 5 |
About Foad Ghaderi
Foad Ghaderi is a scholar working on Signal Processing, Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 46 papers that have together received 411 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (15 papers), EEG and Brain-Computer Interfaces (13 papers), Functional Brain Connectivity Studies (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Human Pose and Action Recognition (4 papers), Speech and Audio Processing (4 papers), Neural dynamics and brain function (4 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Signal Processing (116 citations), Cognitive Neuroscience (148 citations), Computational Mathematics (2 citations), General Dentistry (6 citations) and Applied Mathematics (26 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, Scientific Reports and Clinical Neurophysiology.
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.