Pedro R. Montoro

1.3k total citations
48 papers, 780 citations indexed

About

Pedro R. Montoro is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Pedro R. Montoro has authored 48 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 10 papers in Social Psychology. Recurrent topics in Pedro R. Montoro's work include Neural and Behavioral Psychology Studies (24 papers), Visual perception and processing mechanisms (20 papers) and Neural dynamics and brain function (13 papers). Pedro R. Montoro is often cited by papers focused on Neural and Behavioral Psychology Studies (24 papers), Visual perception and processing mechanisms (20 papers) and Neural dynamics and brain function (13 papers). Pedro R. Montoro collaborates with scholars based in Spain, United Kingdom and United States. Pedro R. Montoro's co-authors include F. Javier Moreno-Martínez, José Antonio Hinojosa, Miguel A. Pozo, Núria Carriedo, Marı́a José Contreras, Juan J. Ortells, María Rosa Elosúa de Juan, Mika Koivisto, Inmaculada Concepción Rodríguez‐Rojo and Simone Grassini and has published in prestigious journals such as PLoS ONE, Developmental Psychology and Neuropsychologia.

In The Last Decade

Pedro R. Montoro

44 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro R. Montoro Spain 15 513 300 181 155 51 48 780
Timothy J. Ricker United States 16 720 1.4× 343 1.1× 105 0.6× 137 0.9× 25 0.5× 31 914
Sammy Perone United States 19 551 1.1× 178 0.6× 120 0.7× 384 2.5× 65 1.3× 39 948
Andriy Myachykov United Kingdom 17 589 1.1× 421 1.4× 204 1.1× 321 2.1× 31 0.6× 78 885
Ewald Neumann New Zealand 15 654 1.3× 246 0.8× 89 0.5× 288 1.9× 119 2.3× 49 878
Heather Bailey United States 18 766 1.5× 396 1.3× 129 0.7× 334 2.2× 88 1.7× 34 1.1k
Sharon Zmigrod Netherlands 17 561 1.1× 399 1.3× 206 1.1× 119 0.8× 37 0.7× 24 878
Roy Luria Israel 23 1.4k 2.8× 389 1.3× 251 1.4× 66 0.4× 35 0.7× 64 1.7k
Julia Föcker Germany 13 456 0.9× 344 1.1× 99 0.5× 119 0.8× 10 0.2× 33 689
Anna Pecchinenda Italy 16 696 1.4× 305 1.0× 228 1.3× 80 0.5× 36 0.7× 47 871
David Sutterer United States 13 978 1.9× 224 0.7× 114 0.6× 119 0.8× 30 0.6× 20 1.1k

Countries citing papers authored by Pedro R. Montoro

Since Specialization
Citations

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

Fields of papers citing papers by Pedro R. Montoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro R. Montoro. 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 Pedro R. Montoro. The network helps show where Pedro R. Montoro may publish in the future.

Co-authorship network of co-authors of Pedro R. Montoro

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro R. Montoro. A scholar is included among the top collaborators of Pedro R. Montoro 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 Pedro R. Montoro. Pedro R. Montoro 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
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Prieto, A. Fernandez, et al.. (2025). New methods, old questions: advancing the study of unconscious perception. Frontiers in Psychology. 16. 1626223–1626223. 1 indexed citations
4.
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Mayas, Julia, A. Fernandez Prieto, & Pedro R. Montoro. (2023). Memory and metamemory in everyday settings: Assessing recall, recognition, and naming using car brand logos. Applied Cognitive Psychology. 38(1). 1 indexed citations
6.
Hinojosa, José Antonio, Marc Guasch, Pedro R. Montoro, et al.. (2023). The bright side of words: Norms for 9000 Spanish words in seven discrete positive emotions. Behavior Research Methods. 56(5). 4909–4929. 10 indexed citations
7.
Prieto, A. Fernandez, et al.. (2023). Masked priming under the Bayesian microscope: Exploring the integration of local elements into global shape through Bayesian model comparison. Consciousness and Cognition. 115. 103568–103568. 6 indexed citations
8.
Montoro, Pedro R., et al.. (2018). Temporal brain dynamics of the competition between proximity and shape similarity grouping cues in vision. Neuropsychologia. 121. 88–97. 9 indexed citations
9.
Montoro, Pedro R., et al.. (2017). Common region wins the competition between extrinsic grouping cues: Evidence from a task without explicit attention to grouping. Psychonomic Bulletin & Review. 24(6). 1856–1861. 9 indexed citations
10.
Moreno-Martínez, F. Javier, et al.. (2016). Why Almost Always <b><i>Animals</i></b>? Ranking Fluency Tasks for the Detection of Dementia Based on Receiver Operating Characteristic (ROC) and Quality ROC Analyses. Dementia and Geriatric Cognitive Disorders. 43(1-2). 59–70. 7 indexed citations
11.
Montoro, Pedro R., et al.. (2016). Dominance dynamics of competition between intrinsic and extrinsic grouping cues. Acta Psychologica. 170. 146–154. 15 indexed citations
12.
Carriedo, Núria, et al.. (2016). Development of the updating executive function: From 7-year-olds to young adults.. Developmental Psychology. 52(4). 666–678. 44 indexed citations
13.
Montoro, Pedro R., Marı́a José Contreras, María Rosa Elosúa de Juan, & Fernando Marmolejo‐Ramos. (2015). Cross-modal metaphorical mapping of spoken emotion words onto vertical space. Frontiers in Psychology. 6. 1205–1205. 13 indexed citations
14.
Fuentes, Luis J., et al.. (2014). Emotional cuing to test attentional network functioning in trait anxiety. Psicologica. 35(2). 309–329. 4 indexed citations
15.
Montoro, Pedro R., et al.. (2014). Subliminal Gestalt grouping: Evidence of perceptual grouping by proximity and similarity in absence of conscious perception. Consciousness and Cognition. 25. 1–8. 33 indexed citations
16.
Marmolejo‐Ramos, Fernando, et al.. (2014). The activation of representative emotional verbal contexts interacts with vertical spatial axis. Cognitive Processing. 15(3). 253–267. 14 indexed citations
17.
Moreno-Martínez, F. Javier & Pedro R. Montoro. (2012). An Ecological Alternative to Snodgrass & Vanderwart: 360 High Quality Colour Images with Norms for Seven Psycholinguistic Variables. PLoS ONE. 7(5). e37527–e37527. 139 indexed citations
18.
Moreno-Martínez, F. Javier, Pedro R. Montoro, & Keith R. Laws. (2011). A set of high quality colour images with Spanish norms for seven relevant psycholinguistic variables: The Nombela naming test. Aging Neuropsychology and Cognition. 18(3). 293–327. 19 indexed citations
19.
Soto, David, Pedro R. Montoro, & Glyn W. Humphreys. (2009). Transcranial magnetic stimulation of the primary motor cortex modulates response interference in a flanker task. Neuroscience Letters. 451(3). 261–265. 11 indexed citations
20.
Montoro, Pedro R., et al.. (2009). Deconfounding the Effects of Local Element Spatial Heterogeneity and Sparsity on Processing Dominance. The Journal of General Psychology. 136(4). 407–427. 2 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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