Ivan Herreros

778 total citations
21 papers, 448 citations indexed

About

Ivan Herreros is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Ivan Herreros has authored 21 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Ivan Herreros's work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Vestibular and auditory disorders (5 papers). Ivan Herreros is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Vestibular and auditory disorders (5 papers). Ivan Herreros collaborates with scholars based in Spain, Italy and United Kingdom. Ivan Herreros's co-authors include Paul F. M. J. Verschure, Henrik Jörntell, R. Chris Miall, Giovanni Pezzulo, Rick C. Helmich, Michiel F. Dirkx, Andreea C. Bostan, Kenji Doya, Gianluca Baldassarre and Peter L. Strick and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the Royal Society B Biological Sciences and Neural Computation.

In The Last Decade

Ivan Herreros

19 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Herreros Spain	9	243	150	122	83	45	21	448
M. Nitschke Germany	10	261 1.1×	183 1.2×	100 0.8×	91 1.1×	33 0.7×	13	505
Motoyasu Honma Japan	15	315 1.3×	56 0.4×	83 0.7×	59 0.7×	73 1.6×	67	595
Georges A. Ghacibeh United States	10	432 1.8×	162 1.1×	109 0.9×	51 0.6×	24 0.5×	15	541
Paul A. Wanda United States	12	463 1.9×	67 0.4×	199 1.6×	86 1.0×	34 0.8×	18	601
Sühan Senova France	12	362 1.5×	100 0.7×	225 1.8×	168 2.0×	13 0.3×	32	684
R. Jarrett Rushmore United States	17	458 1.9×	302 2.0×	100 0.8×	54 0.7×	33 0.7×	53	773
Nicola Riccardo Polizzotto United States	13	697 2.9×	216 1.4×	99 0.8×	27 0.3×	44 1.0×	20	862
Hideaki Tanaka Japan	12	838 3.4×	70 0.5×	102 0.8×	85 1.0×	45 1.0×	36	1.0k
Samuel S. McAfee United States	11	271 1.1×	99 0.7×	120 1.0×	20 0.2×	35 0.8×	20	462
Giorgio Fuggetta United Kingdom	14	592 2.4×	386 2.6×	72 0.6×	50 0.6×	28 0.6×	25	764

Countries citing papers authored by Ivan Herreros

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Herreros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Herreros. 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 Ivan Herreros. The network helps show where Ivan Herreros may publish in the future.

Co-authorship network of co-authors of Ivan Herreros

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

All Works

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20 of 20 papers shown

Arsiwalla, Xerxes D., Ricard V. Solé, Clément Moulin-Frier, et al.. (2023). The Morphospace of Consciousness: Three Kinds of Complexity for Minds and Machines. SHILAP Revista de lepidopterología. 4(2). 79–102. 3 indexed citations

Blithikioti, Chrysanthi, Laia Miquel, Blanca Paniello-Castillo, et al.. (2022). Chronic cannabis use affects cerebellum dependent visuomotor adaptation. Journal of Psychiatric Research. 156. 8–15. 2 indexed citations

Herreros, Ivan, Laia Miquel, Chrysanthi Blithikioti, et al.. (2019). Motor Adaptation Impairment in Chronic Cannabis Users Assessed by a Visuomotor Rotation Task. Journal of Clinical Medicine. 8(7). 1049–1049. 9 indexed citations

Blithikioti, Chrysanthi, Laia Miquel, Albert Batalla, et al.. (2019). Cerebellar alterations in cannabis users: A systematic review. Addiction Biology. 24(6). 1121–1137. 31 indexed citations

Herreros, Ivan. (2018). Learning and control. Oxford University Press eBooks.

Herreros, Ivan, et al.. (2017). Cholinergic Behavior State-Dependent Mechanisms of Neocortical Gain Control: a Neurocomputational Study. Molecular Neurobiology. 55(1). 249–257. 3 indexed citations

Herreros, Ivan, et al.. (2017). The perceptual shaping of anticipatory actions. Proceedings of the Royal Society B Biological Sciences. 284(1869). 20171780–20171780. 13 indexed citations

Herreros, Ivan, Xerxes D. Arsiwalla, & Paul F. M. J. Verschure. (2016). A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control. Neural Information Processing Systems. 29. 3828–3836. 3 indexed citations

Caligiore, Daniele, Giovanni Pezzulo, Gianluca Baldassarre, et al.. (2016). Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex. The Cerebellum. 16(1). 203–229. 282 indexed citations

10.

Pirrelli, Vito & Ivan Herreros. (2016). Learning morphology by itself. University of Patras. 1 indexed citations

11.

Friston, Karl & Ivan Herreros. (2016). Active Inference and Learning in the Cerebellum. Neural Computation. 28(9). 1812–1839. 23 indexed citations

12.

Moulin-Frier, Clément, et al.. (2015). Skill refinement through cerebellar learning and human haptic feedback: An iCub learning to paint experiment. 447–452. 2 indexed citations

13.

Herreros, Ivan, et al.. (2014). A Cerebellar Neuroprosthetic System: Computational Architecture and in vivo Test. Frontiers in Bioengineering and Biotechnology. 2. 14–14. 8 indexed citations

14.

Herreros, Ivan & Paul F. M. J. Verschure. (2013). Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control. Neural Networks. 47. 64–71. 31 indexed citations

15.

Herreros, Ivan, et al.. (2013). Speed generalization capabilities of a cerebellar model on a rapid navigation task. 363–368. 8 indexed citations

16.

Bamford, Simeon A., Andrea Giovannucci, Aryeh H. Taub, et al.. (2012). A VLSI Field-Programmable Mixed-Signal Array to Perform Neural Signal Processing and Neural Modeling in a Prosthetic System. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(4). 455–467. 15 indexed citations

17.

Prueckl, Robert, Aryeh H. Taub, Ivan Herreros, et al.. (2011). Behavioral rehabilitation of the eye closure reflex in senescent rats using a real-time biosignal acquisition system. PubMed. 32. 4211–4214. 6 indexed citations

18.

Ortner, Rupert, Aryeh H. Taub, Ivan Herreros, et al.. (2011). The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats. 10. 1–8. 1 indexed citations

19.

Herreros, Ivan, et al.. (2007). Learning Inflection: The Importance of Starting Big. 175–200. 1 indexed citations

20.

Pirrelli, Vito, et al.. (2004). Non-locality all the way through. 11–19. 5 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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