Ángel Correa

3.5k total citations
55 papers, 2.5k citations indexed

About

Ángel Correa is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Ángel Correa has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 25 papers in Experimental and Cognitive Psychology and 12 papers in Social Psychology. Recurrent topics in Ángel Correa's work include Neural and Behavioral Psychology Studies (24 papers), Neuroscience and Music Perception (20 papers) and Visual perception and processing mechanisms (11 papers). Ángel Correa is often cited by papers focused on Neural and Behavioral Psychology Studies (24 papers), Neuroscience and Music Perception (20 papers) and Visual perception and processing mechanisms (11 papers). Ángel Correa collaborates with scholars based in Spain, United Kingdom and Italy. Ángel Correa's co-authors include Juan Lupiáñez, Anna C. Nobre, Pı́o Tudela, Jennifer T. Coull, Daniel Sanabria, Mariagrazia Capizzi, Eduardo Madrid, Juan Antonio Madrid, Bruce Milliken and Mónica Triviño and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Ángel Correa

53 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ángel Correa Spain 26 2.1k 877 290 158 105 55 2.5k
James M. Broadway United States 17 1.2k 0.5× 812 0.9× 141 0.5× 245 1.6× 159 1.5× 21 1.8k
Miguel A. Escrig Spain 8 858 0.4× 543 0.6× 392 1.4× 101 0.6× 47 0.4× 14 1.5k
Viviane Pouthas France 29 3.0k 1.4× 1.2k 1.3× 373 1.3× 286 1.8× 29 0.3× 63 3.3k
Sander Martens Netherlands 25 2.1k 1.0× 772 0.9× 274 0.9× 101 0.6× 26 0.2× 65 2.5k
Matthew K. Robison United States 24 1.6k 0.8× 712 0.8× 202 0.7× 129 0.8× 23 0.2× 64 1.9k
Laurence Casini France 19 1.8k 0.8× 633 0.7× 215 0.7× 152 1.0× 48 0.5× 39 2.1k
Bettina Rolke Germany 27 1.7k 0.8× 670 0.8× 311 1.1× 309 2.0× 37 0.4× 63 2.1k
David Soto United Kingdom 32 2.8k 1.3× 603 0.7× 459 1.6× 136 0.9× 12 0.1× 99 3.2k
Barry Giesbrecht United States 30 2.5k 1.2× 522 0.6× 383 1.3× 194 1.2× 53 0.5× 105 3.0k
Yael M. Cycowicz United States 22 2.4k 1.1× 660 0.8× 283 1.0× 521 3.3× 17 0.2× 44 2.8k

Countries citing papers authored by Ángel Correa

Since Specialization
Citations

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

Fields of papers citing papers by Ángel Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángel Correa

This figure shows the co-authorship network connecting the top 25 collaborators of Ángel Correa. A scholar is included among the top collaborators of Ángel Correa 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 Ángel Correa. Ángel Correa 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.
Baños, Oresti, Miguel Damas, H. Pomares, et al.. (2020). CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain. Scientific Data. 7(1). 365–365. 6 indexed citations
2.
Madrid, Juan Antonio, et al.. (2018). Blue-Enriched Light Enhances Alertness but Impairs Accurate Performance in Evening Chronotypes Driving in the Morning. Frontiers in Psychology. 9. 688–688. 24 indexed citations
3.
Mioni, Giovanna, Mariagrazia Capizzi, Antonino Vallesi, et al.. (2018). Dissociating Explicit and Implicit Timing in Parkinson’s Disease Patients: Evidence from Bisection and Foreperiod Tasks. Frontiers in Human Neuroscience. 12. 17–17. 25 indexed citations
4.
Padilla, Francisca, et al.. (2018). The Role of Exercise-Induced Arousal and Exposure to Blue-Enriched Lighting on Vigilance. Frontiers in Human Neuroscience. 12. 499–499. 3 indexed citations
5.
Madrid, Juan Antonio, et al.. (2017). Blue-Enriched White Light Enhances Physiological Arousal But Not Behavioral Performance during Simulated Driving at Early Night. Frontiers in Psychology. 8. 997–997. 17 indexed citations
6.
Triviño, Mónica, Ángel Correa, Juan Lupiáñez, et al.. (2016). Brain networks of temporal preparation: A multiple regression analysis of neuropsychological data. NeuroImage. 142. 489–497. 11 indexed citations
7.
Correa, Ángel, et al.. (2016). Light Effects on Behavioural Performance Depend on the Individual State of Vigilance. PLoS ONE. 11(11). e0164945–e0164945. 23 indexed citations
8.
Bégel, Valentin, et al.. (2016). “Lost in time” but still moving to the beat. Neuropsychologia. 94. 129–138. 43 indexed citations
9.
Correa, Ángel, Giorgia Cona, Sandra Arbula, Antonino Vallesi, & Patrizia Bisiacchi. (2014). Neural dissociation of automatic and controlled temporal preparation by transcranial magnetic stimulation. Neuropsychologia. 65. 131–136. 27 indexed citations
10.
Capizzi, Mariagrazia, et al.. (2014). Foreperiod priming in temporal preparation: Testing current models of sequential effects. Cognition. 134. 39–49. 30 indexed citations
11.
Madrid, Juan Antonio, et al.. (2014). The Vigilance Decrement in Executive Function Is Attenuated When Individual Chronotypes Perform at Their Optimal Time of Day. PLoS ONE. 9(2). e88820–e88820. 85 indexed citations
12.
Capizzi, Mariagrazia, Daniel Sanabria, & Ángel Correa. (2012). Dissociating controlled from automatic processing in temporal preparation. Cognition. 123(2). 293–302. 61 indexed citations
13.
Sanabria, Daniel & Ángel Correa. (2012). Electrophysiological evidence of temporal preparation driven by rhythms in audition. Biological Psychology. 92(2). 98–105. 36 indexed citations
14.
Triviño, Mónica, et al.. (2010). Temporal orienting deficit after prefrontal damage. Brain. 133(4). 1173–1185. 68 indexed citations
15.
Correa, Ángel, et al.. (2010). Temporal preparation, response inhibition and impulsivity. Brain and Cognition. 73(3). 222–228. 50 indexed citations
16.
Correa, Ángel. (2008). Neurociencia aplicada: el cerebro al servicio de la humanidad. 2(1). 38–40. 1 indexed citations
17.
Nobre, Anna C., Ángel Correa, & Jennifer T. Coull. (2007). The hazards of time. Current Opinion in Neurobiology. 17(4). 465–470. 423 indexed citations
18.
Correa, Ángel, Juan Lupiáñez, Eduardo Madrid, & Pı́o Tudela. (2006). Temporal attention enhances early visual processing: A review and new evidence from event-related potentials. Brain Research. 1076(1). 116–128. 230 indexed citations
19.
Correa, Ángel, Juan Lupiáñez, Bruce Milliken, & Pı́o Tudela. (2004). Endogenous temporal orienting of attention in detection and discrimination tasks. Perception & Psychophysics. 66(2). 264–278. 166 indexed citations
20.
Callejas, Alicia, Ángel Correa, Pı́o Tudela, & Juan Lupiáñez. (2003). Normas asociativas intracategoriales para 612 palabras de seis categorías semánticas en español. SHILAP Revista de lepidopterología. 21 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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