Mahmood Amiri
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Fariba BahramiZeynab MohammadiJavad FrounchiMahyar JanahmadiKarim FaezSoheila NazariEgidio FaloticoNarges Hosseinmardi
- Topics
- Neural dynamics and brain function (33 papers)Neuroscience and Neural Engineering (28 papers)Advanced Memory and Neural Computing (23 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceExperimental and Cognitive Psychology
In The Last Decade
Mahmood Amiri
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 853
- Cellular and Molecular Neuroscience 535
- Electrical and Electronic Engineering 365
- Experimental and Cognitive Psychology 228
- Artificial Intelligence 129
Countries citing papers authored by Mahmood Amiri
This map shows the geographic impact of Mahmood Amiri'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 Mahmood Amiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmood Amiri more than expected).
Fields of papers citing papers by Mahmood Amiri
This network shows the impact of papers produced by Mahmood Amiri. 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 Mahmood Amiri. The network helps show where Mahmood Amiri may publish in the future.
Co-authorship network of co-authors of Mahmood Amiri
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmood Amiri. A scholar is included among the top collaborators of Mahmood Amiri 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 Mahmood Amiri. Mahmood Amiri 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | GENERATION OF SYNTHETIC EARTHQUAKE RECORDS BY ARTIFICIAL INTELLIGENCE TECHNIQUES | 3 |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 48 | |
| 15 | Comparison of Different Linear Filter Design Methods for Handling Ocular Artifacts in Brain Computer Interface System | 3 |
| 16 | 29 | |
| 17 | 44 | |
| 18 | 71 | |
| 19 | 34 | |
| 20 | 27 |
About Mahmood Amiri
Mahmood Amiri is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (33 papers), Neuroscience and Neural Engineering (28 papers) and Advanced Memory and Neural Computing (23 papers). The work is most often cited by research in Cognitive Neuroscience (853 citations), Cellular and Molecular Neuroscience (535 citations) and Experimental and Cognitive Psychology (228 citations). Mahmood Amiri has collaborated with scholars based in Iran, Belgium and Canada. Frequent co-authors include Fariba Bahrami, Zeynab Mohammadi, Javad Frounchi, Mahyar Janahmadi, Karim Faez, Soheila Nazari, Egidio Falotico, Narges Hosseinmardi, Alireza Sadeghian and Sylvain Chartier. Their work appears in journals such as Scientific Reports, Journal of Theoretical Biology and IEEE Transactions on Neural Networks and Learning Systems.
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.