Ashkan Yazdani
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- Touradj EbrahimiJean-Marc VésinJong‐Seok LeeUlrich HoffmannEleni KroupiSeyed Kamaledin SetarehdanCaro LucasBabak Nadjar Araabi
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Neural dynamics and brain function (5 papers)Blind Source Separation Techniques (4 papers)
- Journals
- ACM Transactions on Multimedia Computing Communications and ApplicationsACM Transactions on Interactive Intelligent SystemsEURASIP Journal on Image and Video Processing
- Partner nations
- SwitzerlandIranSpain
In The Last Decade
Ashkan Yazdani
15 papers receiving 348 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 200
- Experimental and Cognitive Psychology 118
- Signal Processing 79
- Computer Vision and Pattern Recognition 78
- Biomedical Engineering 73
Countries citing papers authored by Ashkan Yazdani
This map shows the geographic impact of Ashkan Yazdani'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 Ashkan Yazdani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashkan Yazdani more than expected).
Fields of papers citing papers by Ashkan Yazdani
This network shows the impact of papers produced by Ashkan Yazdani. 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 Ashkan Yazdani. The network helps show where Ashkan Yazdani may publish in the future.
Co-authorship network of co-authors of Ashkan Yazdani
This figure shows the co-authorship network connecting the top 25 collaborators of Ashkan Yazdani. A scholar is included among the top collaborators of Ashkan Yazdani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashkan Yazdani. Ashkan Yazdani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 53 | |
| 3 | 40 | |
| 4 | 31 | |
| 5 | 37 | |
| 6 | 21 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | Curiosity Cloning: Neural Analysis of Scientific Knowledge | 1 |
| 10 | 58 | |
| 11 | 44 | |
| 12 | Face Detection Using Discrete Gabor Jets And Color Information | 0 |
| 13 | 2 | |
| 14 | Bayesian feature selection applied in a p300 brain-computer interface | 15 |
| 15 | 11 | |
| 16 | 13 |
About Ashkan Yazdani
Ashkan Yazdani is a scholar working on Signal Processing, Cognitive Neuroscience and Sensory Systems, having authored 16 papers that have together received 360 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neural dynamics and brain function (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Sensory Systems (63 citations), Cognitive Neuroscience (200 citations) and Experimental and Cognitive Psychology (118 citations). Ashkan Yazdani has collaborated with scholars based in Switzerland, Iran and Spain. Frequent co-authors include Touradj Ebrahimi, Jean-Marc Vésin, Jong‐Seok Lee, Ulrich Hoffmann, Eleni Kroupi, Seyed Kamaledin Setarehdan, Caro Lucas, Babak Nadjar Araabi, Dario Izzo and Jacek Naruniec. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, ACM Transactions on Interactive Intelligent Systems and EURASIP Journal on Image and Video 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.