Hugo Gravato Marques

1.4k total citations
22 papers, 716 citations indexed

About

Hugo Gravato Marques is a scholar working on Cognitive Neuroscience, Social Psychology and Biomedical Engineering. According to data from OpenAlex, Hugo Gravato Marques has authored 22 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Social Psychology and 6 papers in Biomedical Engineering. Recurrent topics in Hugo Gravato Marques's work include Motor Control and Adaptation (5 papers), Action Observation and Synchronization (5 papers) and Reinforcement Learning in Robotics (4 papers). Hugo Gravato Marques is often cited by papers focused on Motor Control and Adaptation (5 papers), Action Observation and Synchronization (5 papers) and Reinforcement Learning in Robotics (4 papers). Hugo Gravato Marques collaborates with scholars based in Switzerland, United Kingdom and Germany. Hugo Gravato Marques's co-authors include Fumiya Iida, Megan R. Carey, Dana Darmohray, Rolf Pfeifer, Owen Holland, Max Lungarella, Mark S. Blumberg, Ana S Machado, Hidenobu Sumioka and Matej Hoffmann and has published in prestigious journals such as Nature Communications, Neuron and Current Biology.

In The Last Decade

Hugo Gravato Marques

21 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hugo Gravato Marques Switzerland	12	293	244	190	103	100	22	716
S.F. Giszter United States	4	531 1.8×	443 1.8×	142 0.7×	96 0.9×	146 1.5×	8	749
Micha Hersch Switzerland	17	344 1.2×	202 0.8×	354 1.9×	54 0.5×	59 0.6×	25	1.4k
Carolyn R. Mason United States	10	487 1.7×	315 1.3×	108 0.6×	100 1.0×	120 1.2×	12	598
Nina S. Bradley United States	14	154 0.5×	105 0.4×	44 0.2×	63 0.6×	141 1.4×	34	533
R. Blythe Towal United States	10	572 2.0×	79 0.3×	31 0.2×	261 2.5×	48 0.5×	16	796
William D. Chapple United States	13	769 2.6×	442 1.8×	169 0.9×	194 1.9×	198 2.0×	34	1.2k
Kerstin Rosander Sweden	21	799 2.7×	113 0.5×	132 0.7×	41 0.4×	534 5.3×	51	1.7k
William J. Kargo United States	13	566 1.9×	488 2.0×	29 0.2×	146 1.4×	91 0.9×	18	889
Toshio Inui Japan	24	1.2k 4.0×	190 0.8×	128 0.7×	44 0.4×	566 5.7×	109	1.9k
Shih‐Cheng Yen Singapore	23	773 2.6×	649 2.7×	30 0.2×	521 5.1×	61 0.6×	82	1.6k

Countries citing papers authored by Hugo Gravato Marques

Since Specialization

Citations

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

Fields of papers citing papers by Hugo Gravato Marques

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugo Gravato Marques. 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 Hugo Gravato Marques. The network helps show where Hugo Gravato Marques may publish in the future.

Co-authorship network of co-authors of Hugo Gravato Marques

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Gravato Marques. A scholar is included among the top collaborators of Hugo Gravato Marques 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 Hugo Gravato Marques. Hugo Gravato Marques 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

Lenschow, Constanze, et al.. (2025). A galanin-positive population of lumbar spinal cord neurons modulates sexual arousal and copulatory behavior in male mice. Nature Communications. 16(1). 8282–8282.

Marques, Hugo Gravato, et al.. (2022). MYOROBOTICS: A modular toolkit for legged locomotion research using musculoskeletal designs. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1 indexed citations

Machado, Ana S, et al.. (2020). Shared and specific signatures of locomotor ataxia in mutant mice. eLife. 9. 20 indexed citations

Darmohray, Dana, et al.. (2019). Spatial and Temporal Locomotor Learning in Mouse Cerebellum. Neuron. 102(1). 217–231.e4. 75 indexed citations

Machado, Ana S, et al.. (2015). A quantitative framework for whole-body coordination reveals specific deficits in freely walking ataxic mice. eLife. 4. 109 indexed citations

Marques, Hugo Gravato, et al.. (2014). From Spontaneous Motor Activity to Coordinated Behaviour: A Developmental Model. PLoS Computational Biology. 10(7). e1003653–e1003653. 26 indexed citations

Blumberg, Mark S., Hugo Gravato Marques, & Fumiya Iida. (2013). Twitching in Sensorimotor Development from Sleeping Rats to Robots. Current Biology. 23(12). R532–R537. 90 indexed citations

Pfeifer, Rolf, Hugo Gravato Marques, & Fumiya Iida. (2013). Soft robotics: The next generation of intelligent machines. Zurich Open Repository and Archive (University of Zurich). 21 indexed citations

Marques, Hugo Gravato, et al.. (2013). Self-organisation of motion features with a temporal asynchronous dynamic vision sensor. Biologically Inspired Cognitive Architectures. 6. 8–11. 3 indexed citations

10.

Marques, Hugo Gravato, et al.. (2012). Self-organization of reflexive behavior from spontaneous motor activity. Biological Cybernetics. 107(1). 25–37. 15 indexed citations

11.

Wittmeier, Steffen, Cristiano Alessandro, Konstantinos Dalamagkidis, et al.. (2012). Toward Anthropomimetic Robotics: Development, Simulation, and Control of a Musculoskeletal Torso. Artificial Life. 19(1). 171–193. 62 indexed citations

12.

Marques, Hugo Gravato, et al.. (2012). Self-organization of spinal reflexes through soft musculoskeletal interactions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 36. 606–611. 1 indexed citations

13.

Holland, Owen, et al.. (2012). Real and apparent biological inspiration in cognitive architectures. Biologically Inspired Cognitive Architectures. 3. 105–116. 6 indexed citations

14.

Wittmeier, Steffen, et al.. (2011). CALIPER: A universal robot simulation framework for tendon-driven robots. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1 indexed citations

15.

Wittmeier, Steffen, Michael F. Jantsch, Konstantinos Dalamagkidis, et al.. (2011). CALIPER: A universal robot simulation framework for tendon-driven robots. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1063–1068. 18 indexed citations

16.

Marques, Hugo Gravato, Steffen Wittmeier, Owen Holland, et al.. (2010). ECCE1: The first of a series of anthropomimetic musculoskeletal upper torsos. BOA (University of Milano-Bicocca). 391–396. 83 indexed citations

17.

Hoffmann, Matej, Hugo Gravato Marques, Alejandro Hernández Arieta, et al.. (2010). Body Schema in Robotics: A Review. Zurich Open Repository and Archive (University of Zurich). 2(4). 304–324. 140 indexed citations

18.

Holland, Owen & Hugo Gravato Marques. (2010). FUNCTIONAL EMBODIED IMAGINATION AND EPISODIC MEMORY. 2(2). 245–259. 1 indexed citations

19.

Marques, Hugo Gravato & Owen Holland. (2008). Architectures for functional imagination. Neurocomputing. 72(4-6). 743–759. 34 indexed citations

20.

Marques, Hugo Gravato, et al.. (2007). Sensorless but not Senseless: Prediction in Evolutionary Car Racing. 370–377. 7 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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