Eris Chinellato

84 total papers · 1.4k total citations
45 papers, 752 citations indexed

About

Eris Chinellato is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Eris Chinellato has authored 45 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 17 papers in Control and Systems Engineering and 14 papers in Biomedical Engineering. Recurrent topics in Eris Chinellato's work include Robot Manipulation and Learning (17 papers), Motor Control and Adaptation (12 papers) and Action Observation and Synchronization (10 papers). Eris Chinellato is often cited by papers focused on Robot Manipulation and Learning (17 papers), Motor Control and Adaptation (12 papers) and Action Observation and Synchronization (10 papers). Eris Chinellato collaborates with scholars based in Spain, United Kingdom and Italy. Eris Chinellato's co-authors include Ángel P. del Pobil, Antonio Morales, Robert B. Fisher, Roman Liepelt, Markus Lappe, Andrew H. Fagg, Patrizia Fattori, Annalisa Bosco, Rossella Breveglieri and Jody C. Culham and has published in prestigious journals such as Journal of Neuroscience, Journal of Experimental Psychology Human Perception & Performance and Frontiers in Psychology.

In The Last Decade

Eris Chinellato

44 papers receiving 703 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eris Chinellato 386 257 253 180 117 45 752
Matej Hoffmann 314 0.8× 287 1.1× 192 0.8× 267 1.5× 164 1.4× 56 888
Vadim Tikhanoff 239 0.6× 332 1.3× 201 0.8× 152 0.8× 267 2.3× 40 852
Halim Hicheur 271 0.7× 227 0.9× 151 0.6× 253 1.4× 48 0.4× 19 834
Syamimi Shamsuddin 328 0.8× 100 0.4× 200 0.8× 70 0.4× 94 0.8× 49 658
Olivier Sigaud 209 0.5× 268 1.0× 117 0.5× 116 0.6× 407 3.5× 50 902
Alexander Stoytchev 227 0.6× 444 1.7× 107 0.4× 161 0.9× 403 3.4× 41 880
Mark B. Colton 422 1.1× 130 0.5× 177 0.7× 74 0.4× 44 0.4× 31 835
Hugo Gravato Marques 293 0.8× 190 0.7× 100 0.4× 244 1.4× 55 0.5× 22 714
Tino Lourens 375 1.0× 103 0.4× 222 0.9× 33 0.2× 132 1.1× 33 799
Hiroyasu Miwa 135 0.3× 286 1.1× 425 1.7× 200 1.1× 165 1.4× 67 874

Countries citing papers authored by Eris Chinellato

Since Specialization
Citations

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

Fields of papers citing papers by Eris Chinellato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eris Chinellato

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

All Works

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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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2026