Fernando E. Rosas
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 33
- Functional Brain Connectivity Studies 21
- Clinical Psychology top 2%
- Psychedelics and Drug Studies 27
- Aerospace Engineering top 2%
-
- Neurotransmitter Receptor Influence on Behavior 12
- Biological Psychiatry top 10%
-
- Advanced MIMO Systems Optimization 16
- Energy Harvesting in Wireless Networks 11
-
- Chemical synthesis and alkaloids 13
-
- Cooperative Communication and Network Coding 11
- Co-authors
- Sofie PollinMohammad Mahdi AzariPedro A. M. MedianoKwang‐Cheng ChenRobin Carhart‐HarrisChristopher TimmermannHannes KettnerLeor Roseman
- Journals
- Journal of Psychopharmacology (6 papers)PLoS Computational Biology (6 papers)Scientific Reports (4 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Fernando E. Rosas
129 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cognitive Neuroscience 836
- Clinical Psychology 885
- Aerospace Engineering 615
- Cellular and Molecular Neuroscience 456
- Biological Psychiatry 54
Countries citing papers authored by Fernando E. Rosas
This map shows the geographic impact of Fernando E. Rosas'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 Fernando E. Rosas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando E. Rosas more than expected).
Fields of papers citing papers by Fernando E. Rosas
This network shows the impact of papers produced by Fernando E. Rosas. 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 Fernando E. Rosas. The network helps show where Fernando E. Rosas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando E. Rosas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 16 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 2 | |
| 17 | 2021 | 59 | |
| 18 | 2020 | 5 | |
| 19 | 2019 | 13 | |
| 20 | 2015 | 6 |
About Fernando E. Rosas
Fernando E. Rosas is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 140 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (33 papers), Psychedelics and Drug Studies (27 papers), Functional Brain Connectivity Studies (21 papers), Advanced MIMO Systems Optimization (16 papers), Chemical synthesis and alkaloids (13 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Energy Harvesting in Wireless Networks (11 papers) and Cooperative Communication and Network Coding (11 papers). The work is most often cited by research in Cognitive Neuroscience (836 citations), Clinical Psychology (885 citations) and Aerospace Engineering (615 citations). Fernando E. Rosas has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Sofie Pollin, Mohammad Mahdi Azari, Pedro A. M. Mediano, Kwang‐Cheng Chen, Robin Carhart‐Harris, Christopher Timmermann, Hannes Kettner, Leor Roseman, Daniel Bor and Andrea I. Luppi. Their work appears in journals such as Journal of Psychopharmacology, PLoS Computational Biology, Scientific Reports, NeuroImage and Physical Review Research.
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.