Ulysses Bernardet

913 total citations
48 papers, 537 citations indexed

About

Ulysses Bernardet is a scholar working on Cognitive Neuroscience, Social Psychology and Human-Computer Interaction. According to data from OpenAlex, Ulysses Bernardet has authored 48 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 17 papers in Social Psychology and 15 papers in Human-Computer Interaction. Recurrent topics in Ulysses Bernardet's work include Action Observation and Synchronization (11 papers), Virtual Reality Applications and Impacts (11 papers) and Neural dynamics and brain function (9 papers). Ulysses Bernardet is often cited by papers focused on Action Observation and Synchronization (11 papers), Virtual Reality Applications and Impacts (11 papers) and Neural dynamics and brain function (9 papers). Ulysses Bernardet collaborates with scholars based in Spain, United Kingdom and Canada. Ulysses Bernardet's co-authors include Paul F. M. J. Verschure, Sergi Bermúdez i Badia, Pawel Pyk, Steve DiPaola, Mikael A. Carlsson, Eric Chanie, Alberto Betella, Tim Pearce, Bill S. Hansson and Martí Sánchez-Fibla and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Ulysses Bernardet

44 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulysses Bernardet Spain 14 187 114 105 95 92 48 537
Haruka Matsukura Japan 9 66 0.4× 43 0.4× 84 0.8× 37 0.4× 219 2.4× 49 500
Michael D. Howard United States 9 186 1.0× 29 0.3× 34 0.3× 125 1.3× 20 0.2× 23 585
Akira Tomono Japan 9 72 0.4× 71 0.6× 157 1.5× 131 1.4× 22 0.2× 44 426
Mareike Kritzler Germany 11 109 0.6× 139 1.2× 91 0.9× 93 1.0× 7 0.1× 23 698
Shinjiro Kawato Japan 15 117 0.6× 68 0.6× 326 3.1× 463 4.9× 20 0.2× 28 871
Yasuyuki Yanagida Japan 9 224 1.2× 94 0.8× 202 1.9× 96 1.0× 12 0.1× 36 464
Steffen Schneider Germany 8 148 0.8× 99 0.9× 12 0.1× 121 1.3× 7 0.1× 17 680
Y. Yanagida Japan 11 235 1.3× 72 0.6× 282 2.7× 111 1.2× 28 0.3× 23 537
Alexander M. Chan United States 12 558 3.0× 42 0.4× 9 0.1× 52 0.5× 92 1.0× 15 1.2k
Neil Mennie United States 9 796 4.3× 227 2.0× 319 3.0× 280 2.9× 4 0.0× 17 1.1k

Countries citing papers authored by Ulysses Bernardet

Since Specialization
Citations

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

Fields of papers citing papers by Ulysses Bernardet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulysses Bernardet

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

All Works

20 of 20 papers shown
1.
Ekárt, Anikó, et al.. (2025). Usability, acceptance, and the role of realism in virtual humans for breathing exercise training. Scientific Reports. 15(1). 1536–1536. 1 indexed citations
2.
Manso, Luis J., et al.. (2024). Sensors, Techniques, and Future Trends of Human-Engagement-Enabled Applications: A Review. Algorithms. 17(12). 560–560. 1 indexed citations
3.
4.
Cracco, Emiel, et al.. (2022). Evidence for a two-step model of social group influence. iScience. 25(9). 104891–104891. 8 indexed citations
5.
Bernardet, Ulysses, et al.. (2022). Isolating Action Prediction from Action Integration in the Perception of Social Interactions. Brain Sciences. 12(4). 432–432. 3 indexed citations
6.
DiPaola, Steve, et al.. (2021). Expressing Personality Through Non-verbal Behaviour in Real-Time Interaction. Frontiers in Psychology. 12. 660895–660895. 9 indexed citations
7.
Bernardet, Ulysses, et al.. (2019). Assessing the reliability of the Laban Movement Analysis system. PLoS ONE. 14(6). e0218179–e0218179. 28 indexed citations
8.
Bernardet, Ulysses. (2018). Bio-Inspired Human-Computer-Interaction. Electronic workshops in computing. 2 indexed citations
9.
Nixon, Michael, Steve DiPaola, & Ulysses Bernardet. (2018). An Eye Gaze Model for Controlling the Display of Social Status in Believable Virtual Humans. 21. 1–8. 5 indexed citations
10.
Betella, Alberto, et al.. (2012). The social perceptual salience effect.. Journal of Experimental Psychology Human Perception & Performance. 39(1). 62–74. 12 indexed citations
11.
Sánchez-Fibla, Martí, Armin Duff, Ulysses Bernardet, & Paul F. M. J. Verschure. (2011). A biomimetic robot controller based on minimizing the unpredictability of the environment: allostatic control revised.. 704–711. 1 indexed citations
12.
Bernardet, Ulysses & Paul F. M. J. Verschure. (2010). iqr: A Tool for the Construction of Multi-level Simulations of Brain and Behaviour. Neuroinformatics. 8(2). 113–134. 21 indexed citations
13.
Badia, Sergi Bermúdez i, Ulysses Bernardet, & Paul F. M. J. Verschure. (2010). Non-Linear Neuronal Responses as an Emergent Property of Afferent Networks: A Case Study of the Locust Lobula Giant Movement Detector. PLoS Computational Biology. 6(3). e1000701–e1000701. 26 indexed citations
14.
Bernardet, Ulysses, et al.. (2010). Quantifying human subjective experience and social interaction using the eXperience Induction Machine. Brain Research Bulletin. 85(5). 305–312. 13 indexed citations
15.
Bernardet, Ulysses, Sergi Bermúdez i Badia, & Paul F. M. J. Verschure. (2008). A model for the neuronal substrate of dead reckoning and memory in arthropods: a comparative computational and behavioral study. Theory in Biosciences. 127(2). 163–175. 13 indexed citations
16.
Mura, Anna, Armin Duff, Jônatas Manzolli, et al.. (2008). re(PER)curso. 1–1. 3 indexed citations
17.
Slater, Mel, Antonio Frisoli, Franco Tecchia, et al.. (2007). Understanding and Realizing Presence in the Presenccia Project. IEEE Computer Graphics and Applications. 27(4). 90–93. 19 indexed citations
18.
Pyk, Pawel, Sergi Bermúdez i Badia, Ulysses Bernardet, et al.. (2006). An artificial moth: Chemical source localization using a robot based neuronal model of moth optomotor anemotactic search. Autonomous Robots. 20(3). 197–213. 89 indexed citations
19.
Eng, Kynan, David Klein, Andreas Bäbler, et al.. (2003). Design for a Brain Revisited: The Neuromorphic Design and Functionality of the Interactive Space 'Ada'. Reviews in the Neurosciences. 14(1-2). 145–80. 21 indexed citations
20.
Bernardet, Ulysses, et al.. (2002). IQR: a distributed system for real-time real-world neuronal simulation. Neurocomputing. 44-46. 1043–1048. 26 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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