David del Río

52 total papers · 690 total citations
35 papers, 470 citations indexed

About

David del Río is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, David del Río has authored 35 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 11 papers in Developmental and Educational Psychology. Recurrent topics in David del Río's work include Neurobiology of Language and Bilingualism (15 papers), Neural and Behavioral Psychology Studies (10 papers) and Reading and Literacy Development (8 papers). David del Río is often cited by papers focused on Neurobiology of Language and Bilingualism (15 papers), Neural and Behavioral Psychology Studies (10 papers) and Reading and Literacy Development (8 papers). David del Río collaborates with scholars based in Spain, Israel and United States. David del Río's co-authors include Fernando Maestú, Javier Pacios, Tomás Ortiz, Ramón López-Higes, Francisco J. Ayala, Juan J López-Ibor, Camilo J. Cela‐Conde, Enric Munar, Marcos Nadal and Cláudio R. Mirasso and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

David del Río

35 papers receiving 458 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David del Río 359 155 93 73 58 35 470
Mónica Lindı́n 438 1.2× 115 0.7× 110 1.2× 109 1.5× 61 1.1× 42 547
Paola Verde 187 0.5× 91 0.6× 61 0.7× 64 0.9× 50 0.9× 28 446
Gillian Porter 372 1.0× 117 0.8× 90 1.0× 54 0.7× 68 1.2× 19 502
Victor Vorobyev 383 1.1× 111 0.7× 46 0.5× 165 2.3× 47 0.8× 23 544
Bo Molander 171 0.5× 138 0.9× 91 1.0× 108 1.5× 103 1.8× 38 489
Yohana Lévêque 372 1.0× 116 0.7× 90 1.0× 71 1.0× 138 2.4× 30 520
Elizabeth G. Smith 339 0.9× 156 1.0× 67 0.7× 56 0.8× 37 0.6× 30 493
Juan Manuel Serrano 261 0.7× 101 0.7× 69 0.7× 86 1.2× 84 1.4× 25 438
Josef J. Bless 293 0.8× 112 0.7× 163 1.8× 36 0.5× 36 0.6× 26 466
Guillermo Campoy 359 1.0× 149 1.0× 61 0.7× 84 1.2× 44 0.8× 30 475

Countries citing papers authored by David del Río

Since Specialization
Citations

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

Fields of papers citing papers by David del Río

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David del Río. 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 David del Río. The network helps show where David del Río may publish in the future.

Co-authorship network of co-authors of David del Río

This figure shows the co-authorship network connecting the top 25 collaborators of David del Río. A scholar is included among the top collaborators of David del Río 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 David del Río. David del Río is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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