Mona Nasseri
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Cardiology and Cardiovascular Medicine
- Cellular and Molecular Neuroscience
- Neurology
- Co-authors
- Benjamin H. BrinkmannGregory A. WorrellMark P. RichardsonPedro F. VianaEwan S. NurseDean R. FreestoneAndreas Schulze‐BonhageNicholas M. Gregg
- Topics
- EEG and Brain-Computer Interfaces (15 papers)Epilepsy research and treatment (14 papers)Advanced Wireless Communication Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurologyScientific Reports
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mona Nasseri
31 papers receiving 593 citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 409
- Psychiatry and Mental health 298
- Cardiology and Cardiovascular Medicine 84
- Cellular and Molecular Neuroscience 81
- Neurology 80
Countries citing papers authored by Mona Nasseri
This map shows the geographic impact of Mona Nasseri'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 Mona Nasseri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Nasseri more than expected).
Fields of papers citing papers by Mona Nasseri
This network shows the impact of papers produced by Mona Nasseri. 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 Mona Nasseri. The network helps show where Mona Nasseri may publish in the future.
Co-authorship network of co-authors of Mona Nasseri
This figure shows the co-authorship network connecting the top 25 collaborators of Mona Nasseri. A scholar is included among the top collaborators of Mona Nasseri 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 Mona Nasseri. Mona Nasseri 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 | 0 | |
| 3 | 6 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 29 | |
| 8 | 39 | |
| 9 | 21 | |
| 10 | 83 | |
| 11 | 58 | |
| 12 | 42 | |
| 13 | 59 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | Unified metric calculation of sampling-based turbo-coded noncoherent MFSK for mobile channel | 1 |
| 19 | 1 | |
| 20 | 5 |
About Mona Nasseri
Mona Nasseri is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Computer Networks and Communications, having authored 35 papers that have together received 603 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Epilepsy research and treatment (14 papers) and Advanced Wireless Communication Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (409 citations), Psychiatry and Mental health (298 citations) and Health Informatics (9 citations). Mona Nasseri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Benjamin H. Brinkmann, Gregory A. Worrell, Mark P. Richardson, Pedro F. Viana, Ewan S. Nurse, Dean R. Freestone, Andreas Schulze‐Bonhage, Nicholas M. Gregg, Tal Pal Attia and Matthias Dümpelmann. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.
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.