Mohammad-Parsa Hosseini
- Cognitive Neuroscience top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Electrical and Electronic Engineering
- Co-authors
- Kiarash AhiDario PompiliAmin HosseiniHamid Soltanian‐ZadehKost ElisevichTuyen X. TranAbolfazl HajisamiMohammad‐Reza Nazem‐Zadeh
- Topics
- EEG and Brain-Computer Interfaces (10 papers)Blind Source Separation Techniques (4 papers)Epilepsy research and treatment (3 papers)
- Partner nations
- United StatesIranCanada
In The Last Decade
Mohammad-Parsa Hosseini
14 papers receiving 748 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cognitive Neuroscience 457
- Signal Processing 146
- Artificial Intelligence 110
- Cardiology and Cardiovascular Medicine 108
- Electrical and Electronic Engineering 99
Countries citing papers authored by Mohammad-Parsa Hosseini
This map shows the geographic impact of Mohammad-Parsa Hosseini'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 Mohammad-Parsa Hosseini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad-Parsa Hosseini more than expected).
Fields of papers citing papers by Mohammad-Parsa Hosseini
This network shows the impact of papers produced by Mohammad-Parsa Hosseini. 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 Mohammad-Parsa Hosseini. The network helps show where Mohammad-Parsa Hosseini may publish in the future.
Co-authorship network of co-authors of Mohammad-Parsa Hosseini
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad-Parsa Hosseini. A scholar is included among the top collaborators of Mohammad-Parsa Hosseini 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 Mohammad-Parsa Hosseini. Mohammad-Parsa Hosseini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | A Review on Machine Learning for EEG Signal Processing in Bioengineeringbreakdown → | 295 |
| 3 | 15 | |
| 4 | 36 | |
| 5 | 110 | |
| 6 | 43 | |
| 7 | 70 | |
| 8 | 44 | |
| 9 | 34 | |
| 10 | 23 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 4 |
About Mohammad-Parsa Hosseini
Mohammad-Parsa Hosseini is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 766 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Blind Source Separation Techniques (4 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Cognitive Neuroscience (457 citations), Signal Processing (146 citations) and Health Informatics (9 citations). Mohammad-Parsa Hosseini has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Kiarash Ahi, Dario Pompili, Amin Hosseini, Hamid Soltanian‐Zadeh, Kost Elisevich, Tuyen X. Tran, Abolfazl Hajisami, Mohammad‐Reza Nazem‐Zadeh, Kourosh Jafari‐Khouzani and Fariborz Mahmoudi. Their work appears in journals such as Medical Physics, Optical Engineering and Artificial Intelligence in Medicine.
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.