Ensor Rafael Palacios

646 total citations · 1 hit paper
5 papers, 325 citations indexed

About

Ensor Rafael Palacios is a scholar working on Cognitive Neuroscience, Neurology and Computer Networks and Communications. According to data from OpenAlex, Ensor Rafael Palacios has authored 5 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Neurology and 1 paper in Computer Networks and Communications. Recurrent topics in Ensor Rafael Palacios's work include Neural dynamics and brain function (4 papers), Vestibular and auditory disorders (2 papers) and Ecosystem dynamics and resilience (1 paper). Ensor Rafael Palacios is often cited by papers focused on Neural dynamics and brain function (4 papers), Vestibular and auditory disorders (2 papers) and Ecosystem dynamics and resilience (1 paper). Ensor Rafael Palacios collaborates with scholars based in United Kingdom, Australia and Italy. Ensor Rafael Palacios's co-authors include Karl Friston, Thomas Parr, Michael D. Kirchhoff, Julian Kiverstein, Adeel Razi, Takuya Isomura, Paul Chadderton and Conor Houghton and has published in prestigious journals such as Scientific Reports, Proceedings of the Royal Society B Biological Sciences and Journal of Theoretical Biology.

In The Last Decade

Ensor Rafael Palacios

5 papers receiving 312 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.

The Markov blankets of life: autonomy, active inference and the free energy principle

2018 225 citations Michael D. Kirchhoff, Thomas Parr et al. Journal of The Royal Society Interface profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ensor Rafael Palacios United Kingdom	4	237	56	40	36	34	5	325
Lancelot Da Costa United Kingdom	13	317 1.3×	52 0.9×	65 1.6×	24 0.7×	17 0.5×	27	491
Mario Villalobos Chile	9	229 1.0×	116 2.1×	39 1.0×	25 0.7×	32 0.9×	23	286
Wanja Wiese Germany	11	351 1.5×	102 1.8×	62 1.6×	34 0.9×	48 1.4×	25	420
Conor Heins Germany	10	188 0.8×	38 0.7×	41 1.0×	11 0.3×	13 0.4×	21	327
Vicente Raja Canada	13	267 1.1×	155 2.8×	38 0.9×	38 1.1×	25 0.7×	33	403
Maxwell J. D. Ramstead United Kingdom	12	418 1.8×	147 2.6×	60 1.5×	31 0.9×	65 1.9×	24	602
Sara Bizarro Portugal	1	141 0.6×	49 0.9×	125 3.1×	11 0.3×	32 0.9×	3	281
John O. Campbell Australia	4	144 0.6×	45 0.8×	22 0.6×	17 0.5×	16 0.5×	13	218
Simon McGregor United Kingdom	7	168 0.7×	24 0.4×	27 0.7×	25 0.7×	7 0.2×	17	265
Rosa Cao United States	9	219 0.9×	27 0.5×	44 1.1×	11 0.3×	17 0.5×	14	371

Countries citing papers authored by Ensor Rafael Palacios

Since Specialization

Citations

This map shows the geographic impact of Ensor Rafael Palacios'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 Ensor Rafael Palacios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ensor Rafael Palacios more than expected).

Fields of papers citing papers by Ensor Rafael Palacios

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ensor Rafael Palacios. 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 Ensor Rafael Palacios. The network helps show where Ensor Rafael Palacios may publish in the future.

Co-authorship network of co-authors of Ensor Rafael Palacios

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

All Works

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5 of 5 papers shown

1.

Palacios, Ensor Rafael, Paul Chadderton, Karl Friston, & Conor Houghton. (2024). Cerebellar state estimation enables resilient coupling across behavioural domains. Scientific Reports. 14(1). 6641–6641. 1 indexed citations

2.

Palacios, Ensor Rafael, Conor Houghton, & Paul Chadderton. (2021). Accounting for uncertainty: inhibition for neural inference in the cerebellum. Proceedings of the Royal Society B Biological Sciences. 288(1947). 20210276–20210276. 4 indexed citations

3.

Palacios, Ensor Rafael, Adeel Razi, Thomas Parr, Michael D. Kirchhoff, & Karl Friston. (2019). On Markov blankets and hierarchical self-organisation. Journal of Theoretical Biology. 486. 110089–110089. 67 indexed citations

4.

Palacios, Ensor Rafael, Takuya Isomura, Thomas Parr, & Karl Friston. (2019). The emergence of synchrony in networks of mutually inferring neurons. Scientific Reports. 9(1). 6412–6412. 28 indexed citations

5.

Kirchhoff, Michael D., Thomas Parr, Ensor Rafael Palacios, Karl Friston, & Julian Kiverstein. (2018). The Markov blankets of life: autonomy, active inference and the free energy principle. Journal of The Royal Society Interface. 15(138). 20170792–20170792. 225 indexed citations breakdown →

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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