André M. Cravo

1.8k total citations
43 papers, 1.1k citations indexed

About

André M. Cravo is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, André M. Cravo has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 6 papers in Social Psychology. Recurrent topics in André M. Cravo's work include Neural dynamics and brain function (17 papers), Neural and Behavioral Psychology Studies (16 papers) and Neuroscience and Music Perception (11 papers). André M. Cravo is often cited by papers focused on Neural dynamics and brain function (17 papers), Neural and Behavioral Psychology Studies (16 papers) and Neuroscience and Music Perception (11 papers). André M. Cravo collaborates with scholars based in Brazil, United Kingdom and United States. André M. Cravo's co-authors include Anna C. Nobre, Gustavo Rohenkohl, Valentin Wyart, Marcus Vinícius C. Baldo, Peter Claessens, João Ricardo Sato, Alexandra Murray, Ian A. Clark, Mark G. Stokes and Lucas R. Trambaiolli and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

André M. Cravo

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André M. Cravo Brazil 13 949 255 126 90 79 43 1.1k
Kairi Kreegipuu Estonia 20 1.1k 1.2× 438 1.7× 133 1.1× 84 0.9× 84 1.1× 57 1.4k
Yuliya Zaytseva Czechia 16 385 0.4× 136 0.5× 94 0.7× 92 1.0× 172 2.2× 48 602
Markus Thimm Germany 14 714 0.8× 89 0.3× 61 0.5× 91 1.0× 147 1.9× 22 954
Andrea Alamia France 15 479 0.5× 89 0.3× 50 0.4× 126 1.4× 35 0.4× 41 714
Sandra Iglesias Switzerland 13 838 0.9× 278 1.1× 100 0.8× 121 1.3× 187 2.4× 21 1.2k
Mihai Avram Germany 19 520 0.5× 184 0.7× 68 0.5× 286 3.2× 187 2.4× 67 932
S. Johannes Germany 10 1.1k 1.2× 219 0.9× 97 0.8× 160 1.8× 122 1.5× 17 1.4k
Joshua D. Koen United States 16 1.3k 1.3× 183 0.7× 145 1.2× 44 0.5× 177 2.2× 34 1.4k
Allan Hobson United States 13 844 0.9× 491 1.9× 94 0.7× 91 1.0× 40 0.5× 19 944
Kimberlee D’Ardenne United States 10 852 0.9× 163 0.6× 98 0.8× 90 1.0× 81 1.0× 12 1.2k

Countries citing papers authored by André M. Cravo

Since Specialization
Citations

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

Fields of papers citing papers by André M. Cravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André M. Cravo. 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 André M. Cravo. The network helps show where André M. Cravo may publish in the future.

Co-authorship network of co-authors of André M. Cravo

This figure shows the co-authorship network connecting the top 25 collaborators of André M. Cravo. A scholar is included among the top collaborators of André M. Cravo 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 André M. Cravo. André M. Cravo 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.
Nobre, Anna C., et al.. (2024). Time for What? Dissociating Explicit Timing Tasks through Electrophysiological Signatures. eNeuro. 11(2). ENEURO.0351–23.2023.
2.
Cravo, André M., et al.. (2024). Temporal binding: Task-dependent variations and reliability across experimental paradigms. Attention Perception & Psychophysics. 87(2). 650–669. 1 indexed citations
3.
Cravo, André M., et al.. (2023). Evidence of non-selective lexical access to second and third language in unbalanced multilinguals: an N400 study on the processing of interlingual homographs. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 26(49). 35–67.
4.
Cravo, André M., et al.. (2022). Time experience during social distancing: A longitudinal study during the first months of COVID-19 pandemic in Brazil. Science Advances. 8(15). eabj7205–eabj7205. 23 indexed citations
5.
Oliveira, Eliezyer Fermino de, et al.. (2022). Time encoding migrates from prefrontal cortex to dorsal striatum during learning of a self-timed response duration task. eLife. 11. 3 indexed citations
6.
Cravo, André M., et al.. (2021). Temporal prediction elicits rhythmic preactivation of relevant sensory cortices. European Journal of Neuroscience. 55(11-12). 3324–3339. 6 indexed citations
7.
Cravo, André M., et al.. (2021). Temporal dynamics of implicit memory underlying serial dependence. Memory & Cognition. 50(2). 449–458. 8 indexed citations
8.
Lange, Floris P. de, et al.. (2020). Prestimulus alpha power is related to the strength of stimulus representation. Cortex. 132. 250–257. 14 indexed citations
9.
Cravo, André M., et al.. (2019). Dissociating the sequential dependency of subjective temporal order from subjective simultaneity. PLoS ONE. 14(10). e0223184–e0223184. 9 indexed citations
10.
Cravo, André M., et al.. (2019). Temporal regularity and stimulus control in multiple fixed interval schedules. Behavioural Processes. 171. 104019–104019. 1 indexed citations
11.
Cravo, André M., et al.. (2019). Rats can learn a temporal task in a single session. Behavioural Processes. 170. 103986–103986. 5 indexed citations
12.
Trambaiolli, Lucas R., Claudinei Eduardo Biazoli, André M. Cravo, & João Ricardo Sato. (2018). Predicting affective valence using cortical hemodynamic signals. Scientific Reports. 8(1). 5406–5406. 12 indexed citations
13.
Sato, João Ricardo, et al.. (2018). A common representation of time across visual and auditory modalities. Neuropsychologia. 119. 223–232. 11 indexed citations
14.
Cravo, André M., et al.. (2018). The effect of conscious intention to act on the Bereitschaftspotential. Experimental Brain Research. 236(8). 2287–2297. 9 indexed citations
15.
Cravo, André M., et al.. (2017). Temporal Anticipation Based on Memory. Journal of Cognitive Neuroscience. 29(12). 2081–2089. 31 indexed citations
16.
Silva, Henrique Salmazo da, Maria Alice de Mattos Pimenta Parente, Maria Sheila Guimarães Rocha, et al.. (2016). Lexical-retrieval and semantic memory in Parkinson’s disease: The question of noun and verb dissociation. Brain and Language. 165. 10–20. 39 indexed citations
17.
Cravo, André M., Gustavo Rohenkohl, Valentin Wyart, & Anna C. Nobre. (2013). Temporal Expectation Enhances Contrast Sensitivity by Phase Entrainment of Low-Frequency Oscillations in Visual Cortex. Journal of Neuroscience. 33(9). 4002–4010. 223 indexed citations
18.
Rohenkohl, Gustavo, André M. Cravo, Valentin Wyart, & Anna C. Nobre. (2012). Temporal Expectation Improves the Quality of Sensory Information. Journal of Neuroscience. 32(24). 8424–8428. 192 indexed citations
19.
Cravo, André M., Peter Claessens, & Marcus Vinícius C. Baldo. (2010). The relation between action, predictability and temporal contiguity in temporal binding. Acta Psychologica. 136(1). 157–166. 64 indexed citations
20.
Cravo, André M., Peter Claessens, & Marcus Vinícius C. Baldo. (2009). Voluntary action and causality in temporal binding. Experimental Brain Research. 199(1). 95–99. 68 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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