Maurício Martins

951 total citations
28 papers, 515 citations indexed

About

Maurício Martins is a scholar working on Cognitive Neuroscience, Social Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Maurício Martins has authored 28 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Social Psychology and 8 papers in Developmental and Educational Psychology. Recurrent topics in Maurício Martins's work include Child and Animal Learning Development (7 papers), Neuroscience and Music Perception (6 papers) and Reading and Literacy Development (5 papers). Maurício Martins is often cited by papers focused on Child and Animal Learning Development (7 papers), Neuroscience and Music Perception (6 papers) and Reading and Literacy Development (5 papers). Maurício Martins collaborates with scholars based in Austria, Germany and Portugal. Maurício Martins's co-authors include W. Tecumseh Fitch, Isabel Pavão Martins, Nicolas Baumard, Roland Beisteiner, Florian Ph. S. Fischmeister, Arno Villringer, Bruno Gingras, Roberta Bianco, Daniela Sammler and Luí­sa Albuquerque and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

In The Last Decade

Maurício Martins

26 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
Maurício Martins Austria 14 285 131 126 103 76 28 515
G. G. Leonardi Poland 10 123 0.4× 123 0.9× 107 0.8× 74 0.7× 29 0.4× 19 383
Simona Siri Italy 13 391 1.4× 185 1.4× 154 1.2× 144 1.4× 7 0.1× 19 575
Mai Nguyen United States 9 645 2.3× 57 0.4× 158 1.3× 161 1.6× 9 0.1× 14 819
Christophe Coupé France 11 215 0.8× 112 0.9× 26 0.2× 275 2.7× 115 1.5× 39 649
Olessia Jouravlev Canada 15 409 1.4× 263 2.0× 84 0.7× 120 1.2× 31 0.4× 23 539
Arnaud Destrebecqz Belgium 4 345 1.2× 240 1.8× 97 0.8× 87 0.8× 18 0.2× 7 505
Zachary Mineroff United States 12 526 1.8× 249 1.9× 120 1.0× 89 0.9× 42 0.6× 16 640
Stan Smith United States 7 427 1.5× 197 1.5× 30 0.2× 120 1.2× 16 0.2× 8 587
Cristiano Chesi Italy 10 235 0.8× 131 1.0× 20 0.2× 60 0.6× 19 0.3× 40 446
Vitor Zimmerer United Kingdom 12 274 1.0× 159 1.2× 31 0.2× 47 0.5× 23 0.3× 24 404

Countries citing papers authored by Maurício Martins

Since Specialization
Citations

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

Fields of papers citing papers by Maurício Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurício Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Maurício Martins. A scholar is included among the top collaborators of Maurício Martins 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 Maurício Martins. Maurício Martins 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.
Martins, Maurício, et al.. (2025). Acquisition and Utilization of Recursive Rules in Motor Sequence Generation. Cognitive Science. 49(9). e70108–e70108.
2.
Martins, Maurício, et al.. (2025). Visual recursion without recursive language? a case study of a minimally verbal autistic child. Frontiers in Psychiatry. 16. 1540985–1540985.
3.
Martins, Maurício. (2024). Cognitive and Neural Representations of Fractals in Vision, Music, and Action. Advances in neurobiology. 36. 935–951. 1 indexed citations
4.
Baumard, Nicolas, Lou Safra, Maurício Martins, & Coralie Chevallier. (2023). Cognitive fossils: using cultural artifacts to reconstruct psychological changes throughout history. Trends in Cognitive Sciences. 28(2). 172–186. 10 indexed citations
5.
Martins, Maurício & Nicolas Baumard. (2022). How to Develop Reliable Instruments to Measure the Cultural Evolution of Preferences and Feelings in History?. Frontiers in Psychology. 13. 786229–786229. 9 indexed citations
6.
Martins, Maurício, Florian Ph. S. Fischmeister, Bruno Gingras, et al.. (2020). Recursive music elucidates neural mechanisms supporting the generation and detection of melodic hierarchies. Brain Structure and Function. 225(7). 1997–2015. 12 indexed citations
7.
Martins, Maurício, et al.. (2019). Recursive hierarchical embedding in vision is impaired by posterior middle temporal gyrus lesions. Brain. 142(10). 3217–3229. 11 indexed citations
8.
Martins, Maurício, Roberta Bianco, Daniela Sammler, & Arno Villringer. (2019). Recursion in action: An fMRI study on the generation of new hierarchical levels in motor sequences. Human Brain Mapping. 40(9). 2623–2638. 22 indexed citations
9.
Martins, Maurício, et al.. (2017). Cognitive representation of “musical fractals”: Processing hierarchy and recursion in the auditory domain. Cognition. 161. 31–45. 27 indexed citations
10.
Martins, Maurício. (2017). The Cognitive Architecture of Recursion: Behavioral and fMRI Evidence from the Visual, Musical and Motor Domains.. Cognitive Science. 1920–1924. 2 indexed citations
11.
Fischmeister, Florian Ph. S., Maurício Martins, Roland Beisteiner, & W. Tecumseh Fitch. (2016). Self-similarity and recursion as default modes in human cognition. Cortex. 97. 183–201. 28 indexed citations
12.
Albuquerque, Luí­sa, Maurício Martins, Miguel Coelho, et al.. (2015). Advanced Parkinson disease patients have impairment in prosody processing. Journal of Clinical and Experimental Neuropsychology. 38(2). 208–216. 18 indexed citations
13.
Martins, Maurício, Isabel Pavão Martins, & W. Tecumseh Fitch. (2015). A novel approach to investigate recursion and iteration in visual hierarchical processing. Behavior Research Methods. 48(4). 1421–1442. 13 indexed citations
14.
Martins, Maurício, Florian Ph. S. Fischmeister, Alexander Geißler, et al.. (2014). Fractal image perception provides novel insights into hierarchical cognition. NeuroImage. 96. 300–308. 38 indexed citations
15.
Martins, Maurício, et al.. (2014). How children perceive fractals: Hierarchical self-similarity and cognitive development. Cognition. 133(1). 10–24. 22 indexed citations
16.
Fitch, W. Tecumseh & Maurício Martins. (2014). Hierarchical processing in music, language, and action: Lashley revisited. Annals of the New York Academy of Sciences. 1316(1). 87–104. 144 indexed citations
17.
Albuquerque, Luí­sa, Miguel Coelho, Maurício Martins, et al.. (2013). STN-DBS does not change emotion recognition in advanced Parkinson's disease. Parkinsonism & Related Disorders. 20(2). 166–169. 21 indexed citations
18.
Martins, Maurício & W. Tecumseh Fitch. (2012). EMPIRICAL APPROACHES TO RECURSION. The Evolution of Language. 219–226. 4 indexed citations
19.
Martins, Maurício, et al.. (2011). Sensitivity to expressions of pain in schizophrenia patients. Psychiatry Research. 189(2). 180–184. 11 indexed citations
20.
Martins, Maurício & Isabel Pavão Martins. (2010). Memory Malingering: Evaluating WMT Criteria. Applied Neuropsychology. 17(3). 177–182. 22 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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