Irene Rebollo

1.3k citations
29 papers · 994 · h-index 16

Impact in

Papers in

Irene Rebollo

28 papers receiving 938 citations

Peers

Irene Rebollo
Comparison fields: 5 of 95
  • Experimental and Cognitive Psychology 444
  • Developmental and Educational Psychology 181
  • Cognitive Neuroscience 228
  • Statistics and Probability 83
  • Clinical Psychology 150
Replace Sergio Escorial with:
Sergio Escorial Spain
Jodene Goldenring Fine United States
W. Joel Schneider United States
Corentin Gonthier France
Thierry Lecerf Switzerland
Pei Chun Shih Spain
Scott L. Decker United States
Mark Daniel United States
Gordon E. Taub United States
Jesús Privado Spain
Irene Rebollo relative to Sergio Escorial Spain Sergio Escorial's profile →
Citations per field
00.5×
Sergio Escorial · 1×
Citations per year

Countries citing papers authored by Irene Rebollo

Since Specialization
Citations

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

Fields of papers citing papers by Irene Rebollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Irene Rebollo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irene Rebollo Line = papers co-authored together Irene Rebollo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005147
2 2006133
3 2003100
4 200665
5 200355
6 200651
7 200546
8 200646
9 200645
10 200645
11 200436
12 201931
13 200629
14 200329
15 200320
16 201315
17 202015
18 200615
19 200613
20 202112

About Irene Rebollo

Irene Rebollo is a scholar working on Experimental and Cognitive Psychology, Genetics, Artificial Intelligence, Economics and Econometrics and Education, having authored 29 papers that have together received 994 indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (11 papers), Genetic Associations and Epidemiology (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Cognitive Science and Mapping (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Values and Moral Education (2 papers) and Educational Strategies and Epistemologies (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (444 citations), Developmental and Educational Psychology (181 citations), Cognitive Neuroscience (228 citations), Statistics and Probability (83 citations) and Clinical Psychology (150 citations). Irene Rebollo has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include Roberto Colom, Francisco J. Abad, Pei Chun Shih, Dorret I. Boomsma, Carmen Flores-Mendoza, Tihomir Asparouhov, Sergio Escorial, Bengt Muthén, Marleen H. M. de Moor and Conor V. Dolan. Their work appears in journals such as Twin Research and Human Genetics, Personality and Individual Differences, Psicothema, Pharmacoepidemiology and Drug Safety and Memory & Cognition.

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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