Reza Tafreshi
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Guy A. DumontManouchehr JavidanAli Shahidi ZandiReza LangariSungtae ShinBeena AhmedAbdul JaleelFarrokh Sassani
- Topics
- EEG and Brain-Computer Interfaces (17 papers)Muscle activation and electromyography studies (9 papers)Fault Detection and Control Systems (9 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSAE technical papers on CD-ROM/SAE technical paper seriesJournal of Neuroscience Methods
- Partner nations
- QatarUnited StatesCanada
In The Last Decade
Reza Tafreshi
37 papers receiving 656 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 499
- Signal Processing 233
- Biomedical Engineering 169
- Cardiology and Cardiovascular Medicine 129
- Cellular and Molecular Neuroscience 85
Countries citing papers authored by Reza Tafreshi
This map shows the geographic impact of Reza Tafreshi'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 Reza Tafreshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reza Tafreshi more than expected).
Fields of papers citing papers by Reza Tafreshi
This network shows the impact of papers produced by Reza Tafreshi. 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 Reza Tafreshi. The network helps show where Reza Tafreshi may publish in the future.
Co-authorship network of co-authors of Reza Tafreshi
This figure shows the co-authorship network connecting the top 25 collaborators of Reza Tafreshi. A scholar is included among the top collaborators of Reza Tafreshi 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 Reza Tafreshi. Reza Tafreshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 144 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 163 | |
| 17 | 26 | |
| 18 | 34 | |
| 19 | 6 | |
| 20 | 6 |
About Reza Tafreshi
Reza Tafreshi is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Signal Processing, having authored 38 papers that have together received 686 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Muscle activation and electromyography studies (9 papers) and Fault Detection and Control Systems (9 papers). The work is most often cited by research in Cognitive Neuroscience (499 citations), Signal Processing (233 citations) and Human-Computer Interaction (69 citations). Reza Tafreshi has collaborated with scholars based in Qatar, United States and Canada. Frequent co-authors include Guy A. Dumont, Manouchehr Javidan, Ali Shahidi Zandi, Reza Langari, Sungtae Shin, Beena Ahmed, Abdul Jaleel, Farrokh Sassani, Naim Haddad and Diane B. Boivin. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Neuroscience Methods.
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.