Fernando Rosas
Lecturer in Informatics and Complexity Science
Data updated
Research Footprint
Fernando Rosas appears in 24 tracked papers (2021–2026), most studied alongside Psilocybin, LSD and DMT, across Depressive Disorders, Anxiety Disorders and Neuroimaging & Brain Measures.
Most-cited paper: Human brain effects of DMT assessed via EEG-fMRI (213 citations).
Frequent co-authors: Robin Carhart-Harris, David Nutt and David Erritzoe.
Publication Landscape
How the 24 papers Blossom tracks for Fernando Rosas line up by year, topic, and journal. These are the psychedelic-relevant papers in Blossom's records as of July 2026, not a complete bibliography.
How has Fernando Rosas's publishing grown?
SourcedTracked papers by publication year. Click a year for the running total.
Don't read as total output: only the 24 of 24 tracked papers with a recorded publication date are counted, and these are the psychedelic-relevant papers Blossom tracks, not a complete bibliography. The current year is still filling in.
What does Fernando Rosas publish on?
SourcedTracked papers per topic. Orange marks the largest research focus.
Don't read shares as adding to 100%: a paper tagged with several topics counts once per topic. These are the psychedelic-relevant papers Blossom tracks, not a complete bibliography.
Where does Fernando Rosas publish?
SourcedTracked papers per journal. Orange marks the most-used journal.
Counts the journal recorded on each tracked paper; preprints and papers with no journal on file are not shown. These are the psychedelic-relevant papers Blossom tracks, not a complete bibliography.
Background & Research
Fernando Rosas is a researcher at the University of Sussex and Imperial College London, specializing in complexity science and computational neuroscience. His work integrates machine learning to reveal how the human brain processes collective experiences and how environmental factors (setting) influence the quality of psychedelic states. His multidisciplinary background spans music composition, mathematics, and engineering.
Key Impact
Analyzes distributed complex systems in the brain to understand multi-agent dynamics and the 'mindset' in psychedelic experiences.
Collaboration Network
54 collaborators· click a node to visit their profile
Full network →Collaboration Network
See Fernando Rosas's full collaboration network, shared papers, and research connections.
Compounds
Topics
Top Collaborators
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Affiliations
Institutions, companies, and organisations Fernando Rosas is associated with.