Fernando E. Rosas

6.1k total citations · 4 hit papers
140 papers, 3.1k citations indexed

About

Fernando E. Rosas is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Fernando E. Rosas has authored 140 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 34 papers in Electrical and Electronic Engineering and 31 papers in Computer Networks and Communications. Recurrent topics in Fernando E. Rosas's work include Neural dynamics and brain function (33 papers), Psychedelics and Drug Studies (27 papers) and Functional Brain Connectivity Studies (21 papers). Fernando E. Rosas is often cited by papers focused on Neural dynamics and brain function (33 papers), Psychedelics and Drug Studies (27 papers) and Functional Brain Connectivity Studies (21 papers). Fernando E. Rosas collaborates with scholars based in United Kingdom, United States and Belgium. Fernando E. Rosas's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Fernando E. Rosas

129 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity

2017 332 citations Mohammad Mahdi Azari, Fernando E. Rosas et al. profile →
A synergistic core for human brain evolution and cognition

2022 146 citations Andrea I. Luppi, Pedro A. M. Mediano et al. Nature Neuroscience profile →
Human brain effects of DMT assessed via EEG-fMRI

2023 105 citations Christopher Timmermann, Fernando E. Rosas et al. profile →
Information decomposition and the informational architecture of the brain

2024 50 citations Andrea I. Luppi, Fernando E. Rosas et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fernando E. Rosas United Kingdom	30	885	836	677	615	458	140	3.1k
Murray Shanahan United Kingdom	34	495 0.6×	1.5k 1.8×	327 0.5×	40 0.1×	387 0.8×	93	3.9k
Eric L. Schwartz United States	25	227 0.3×	1.3k 1.5×	255 0.4×	88 0.1×	43 0.1×	74	2.9k
Adeel Razi United Kingdom	34	429 0.5×	3.0k 3.6×	235 0.3×	16 0.0×	158 0.3×	100	4.6k
Richard Granger United States	33	161 0.2×	1.3k 1.5×	172 0.3×	12 0.0×	116 0.3×	106	3.6k
Kiyoshi Wada Japan	24	259 0.3×	291 0.3×	84 0.1×	121 0.2×	62 0.1×	205	2.2k
Adam B. Barrett United Kingdom	27	573 0.6×	2.6k 3.1×	127 0.2×	5 0.0×	106 0.2×	46	4.5k
Kazunori Matsumoto Japan	30	328 0.4×	564 0.7×	83 0.1×	36 0.1×	51 0.1×	204	2.9k
Guangyuan Liu China	28	75 0.1×	1.3k 1.5×	60 0.1×	62 0.1×	53 0.1×	270	2.9k
Moran Feldman Israel	23	397 0.4×	212 0.3×	61 0.1×	74 0.1×	400 0.9×	100	1.9k
Ricardo Gutiérrez‐Osuna United States	31	101 0.1×	312 0.4×	1.0k 1.5×	47 0.1×	74 0.2×	194	4.5k

Countries citing papers authored by Fernando E. Rosas

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Fernando E. Rosas

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando E. Rosas. A scholar is included among the top collaborators of Fernando E. Rosas 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 Fernando E. Rosas. Fernando E. Rosas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mediano, Pedro A. M., et al.. (2026). Competitive interactions shape mammalian brain network dynamics and computation. Nature Neuroscience.

Nozawa, Takayuki, David F. Dolan, Fernando E. Rosas, et al.. (2025). Multiscale synchronisation dynamics reveals the impact of an improvisatory approach to performance on music experience. Scientific Reports. 15(1). 10097–10097.

Mediano, Pedro A. M., et al.. (2025). Meditation and complexity: a review and synthesis of evidence. Neuroscience of Consciousness. 2025(1). niaf013–niaf013. 2 indexed citations

Brovelli, Andrea, Rubén Herzog, Pedro A. M. Mediano, et al.. (2025). A Taxonomy of Neuroscientific Strategies Based on Interaction Orders. European Journal of Neuroscience. 61(3). e16676–e16676.

Andersen, Marc Malmdorf, et al.. (2025). Scared together: Heart rate synchrony and social closeness in a high-intensity horror setting.. Emotion. 26(1). 25–36.

Mediano, Pedro A. M., et al.. (2025). Fast Möbius transform: An algebraic approach to information decomposition. Physical Review Research. 7(3). 2 indexed citations

Luppi, Andrea I., Eckehard Olbrich, Laura E. Suárez, et al.. (2024). Quantifying synergy and redundancy between networks. Cell Reports Physical Science. 5(4). 101892–101892. 2 indexed citations

Marinazzo, Daniele, et al.. (2024). An information-theoretic approach to build hypergraphs in psychometrics. Behavior Research Methods. 56(7). 8057–8079. 7 indexed citations

Rosas, Fernando E., Andrea I. Luppi, Mengsen Zhang, et al.. (2024). Metastability demystified — the foundational past, the pragmatic present and the promising future. Nature reviews. Neuroscience. 26(2). 82–100. 8 indexed citations

10.

Javarone, Marco Alberto, Fernando E. Rosas, Paolo Facchi, Saverio Pascazio, & Sebastiano Stramaglia. (2024). Quantifying high-order interdependencies in entangled quantum states. Physical review. A. 109(4). 1 indexed citations

11.

Prokopenko, Mikhail, Paul Davies, Michael Harré, et al.. (2024). Biological arrow of time: emergence of tangled information hierarchies and self-modelling dynamics. Journal of Physics Complexity. 6(1). 15006–15006. 1 indexed citations

12.

Rosas, Fernando E., Diego Candia‐Rivera, Andrea I. Luppi, Yike Guo, & Pedro A. M. Mediano. (2023). Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics. Computers in Biology and Medicine. 170. 107857–107857. 3 indexed citations

13.

Nayak, Sandeep M., Bilal A. Bari, David B. Yaden, et al.. (2022). A Bayesian Reanalysis of a Trial of Psilocybin Versus Escitalopram for Depression. PubMed. 1(1). 18–26. 7 indexed citations

14.

Knudsen, Gitte M., Frederick S. Barrett, Manoj K. Doss, et al.. (2021). Psychedelic resting-state neuroimaging: a review and perspective on balancing replication and novel analyses. Zurich Open Repository and Archive (University of Zurich). 10 indexed citations

15.

Mediano, Pedro A. M., Fernando E. Rosas, Andrea I. Luppi, et al.. (2021). Greater than the parts: A review of the information decomposition\n approach to causal emergence. arXiv (Cornell University). 1 indexed citations

16.

Cofré, Rodrigo, Pedro A. M. Mediano, Fernando E. Rosas, et al.. (2021). High-Order Interdependencies in the Aging Brain. Brain Connectivity. 11(9). 734–744. 59 indexed citations

17.

Szigeti, Balázs, Laura Kärtner, Allan Blemings, et al.. (2021). Self-blinding citizen science to explore psychedelic microdosing. eLife. 10. 114 indexed citations

18.

Azari, Mohammad Mahdi, et al.. (2020). Mobile cellular-connected UAVs: reinforcement learning for sky limits. Spiral (Imperial College London). 18 indexed citations

19.

Rosas, Fernando E., et al.. (2019). Synchronization in time-varying random networks with vanishing connectivity. IrInSubria (University of Insubria). 13 indexed citations

20.

Rosas, Fernando E.. (2000). Salazarismo e fomento económico (1928-1948). 2 indexed citations

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.

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