Itxaso Barberia

862 total citations
32 papers, 553 citations indexed

About

Itxaso Barberia is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Itxaso Barberia has authored 32 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Developmental and Educational Psychology, 13 papers in Cognitive Neuroscience and 12 papers in Social Psychology. Recurrent topics in Itxaso Barberia's work include Child and Animal Learning Development (11 papers), Paranormal Experiences and Beliefs (10 papers) and Psychology of Moral and Emotional Judgment (7 papers). Itxaso Barberia is often cited by papers focused on Child and Animal Learning Development (11 papers), Paranormal Experiences and Beliefs (10 papers) and Psychology of Moral and Emotional Judgment (7 papers). Itxaso Barberia collaborates with scholars based in Spain, United Kingdom and Canada. Itxaso Barberia's co-authors include Helena Matute, Javier Rodríguez‐Ferreiro, Fernando Blanco, Pierre Bourdin, Mel Slater, Ramon Oliva, Miguel A. Vadillo, Marcos Díaz‐Lago, Ion Yarritu and Elisabet Tubau and has published in prestigious journals such as PLoS ONE, Scientific Reports and Behavioral and Brain Sciences.

In The Last Decade

Itxaso Barberia

30 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Itxaso Barberia Spain 12 210 195 140 123 108 32 553
Peter Lewinski Netherlands 9 234 1.1× 292 1.5× 107 0.8× 34 0.3× 43 0.4× 10 762
Kathleen C. McCulloch United States 13 243 1.2× 557 2.9× 144 1.0× 156 1.3× 33 0.3× 26 897
Corinna Martarelli Switzerland 16 123 0.6× 416 2.1× 88 0.6× 128 1.0× 58 0.5× 56 768
Brian D. Glass United States 11 94 0.4× 197 1.0× 66 0.5× 182 1.5× 11 0.1× 19 545
Federico Manzi Italy 13 290 1.4× 185 0.9× 57 0.4× 154 1.3× 19 0.2× 42 495
Giles W. Story United Kingdom 12 97 0.5× 223 1.1× 66 0.5× 47 0.4× 9 0.1× 24 657
Kamil K. Imbir Poland 17 371 1.8× 508 2.6× 76 0.5× 52 0.4× 19 0.2× 65 850
Johannes Rodrigues Germany 13 85 0.4× 219 1.1× 72 0.5× 15 0.1× 32 0.3× 36 455
Maria Augustinova France 17 193 0.9× 721 3.7× 40 0.3× 340 2.8× 17 0.2× 45 999
Matthew A. Bezdek United States 10 103 0.5× 403 2.1× 54 0.4× 33 0.3× 31 0.3× 15 611

Countries citing papers authored by Itxaso Barberia

Since Specialization
Citations

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

Fields of papers citing papers by Itxaso Barberia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itxaso Barberia

This figure shows the co-authorship network connecting the top 25 collaborators of Itxaso Barberia. A scholar is included among the top collaborators of Itxaso Barberia 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 Itxaso Barberia. Itxaso Barberia 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.
Carpio, Arturo, et al.. (2025). Presentation format influences the strength of causal illusions. Memory & Cognition. 53(8). 2347–2363.
2.
Matute, Helena, et al.. (2024). A large-scale study and six-month follow-up of an intervention to reduce causal illusions in high school students. Royal Society Open Science. 11(8). 240846–240846.
3.
Rodríguez‐Ferreiro, Javier, et al.. (2024). Individual differences in the evolution of causal illusions. British Journal of Psychology. 116(2). 336–353. 2 indexed citations
4.
Barberia, Itxaso, et al.. (2024). Proneness to false memory generation predicts pseudoscientific belief endorsement. Cognitive Research Principles and Implications. 9(1). 39–39. 2 indexed citations
5.
Rodríguez‐Ferreiro, Javier, et al.. (2023). A debiasing intervention to reduce the causality bias in undergraduates: the role of a bias induction phase. Current Psychology. 42(36). 32456–32468. 3 indexed citations
6.
Barberia, Itxaso, et al.. (2022). Thinking disposition, thinking style, and susceptibility to causal illusion predict fake news discriminability. Applied Cognitive Psychology. 37(2). 360–368. 10 indexed citations
7.
Barberia, Itxaso, et al.. (2022). Causal illusion in the core of pseudoscientific beliefs: The role of information interpretation and search strategies. PLoS ONE. 17(9). e0272201–e0272201. 8 indexed citations
8.
Barberia, Itxaso, et al.. (2022). Authority Brings Responsibility: Feedback from Experts Promotes an Overweighting of Health-Related Pseudoscientific Beliefs. International Journal of Environmental Research and Public Health. 19(22). 15154–15154. 2 indexed citations
9.
Rodríguez‐Ferreiro, Javier, Miguel A. Vadillo, & Itxaso Barberia. (2021). Debiasing Causal Inferences: Over and Beyond Suboptimal Sampling. Teaching of Psychology. 50(3). 230–236. 6 indexed citations
10.
Rodríguez‐Ferreiro, Javier & Itxaso Barberia. (2021). Believers in pseudoscience present lower evidential criteria. Scientific Reports. 11(1). 24352–24352. 7 indexed citations
11.
Neyret, Solène, Xavi Navarro, Alejandro Beacco, et al.. (2020). An Embodied Perspective as a Victim of Sexual Harassment in Virtual Reality Reduces Action Conformity in a Later Milgram Obedience Scenario. Scientific Reports. 10(1). 6207–6207. 50 indexed citations
12.
Rodríguez‐Ferreiro, Javier, et al.. (2019). Are we truly special and unique? A replication of Goldenberg et al. (2001). Royal Society Open Science. 6(11). 191114–191114. 13 indexed citations
13.
Rodríguez‐Ferreiro, Javier & Itxaso Barberia. (2018). Sesgos cognitivos y convicciones morales. Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona). 1 indexed citations
14.
Tubau, Elisabet, Javier Rodríguez‐Ferreiro, Itxaso Barberia, & Àngels Colomé. (2018). From reading numbers to seeing ratios: a benefit of icons for risk comprehension. Psychological Research. 83(8). 1808–1816. 24 indexed citations
15.
Vadillo, Miguel A. & Itxaso Barberia. (2018). A comparator-hypothesis account of biased contingency detection. Behavioural Processes. 154. 45–51. 2 indexed citations
16.
Barberia, Itxaso, Ramon Oliva, Pierre Bourdin, & Mel Slater. (2018). Virtual mortality and near-death experience after a prolonged exposure in a shared virtual reality may lead to positive life-attitude changes. PLoS ONE. 13(11). e0203358–e0203358. 42 indexed citations
17.
Rodríguez‐Ferreiro, Javier & Itxaso Barberia. (2017). The moral foundations of illusory correlation. PLoS ONE. 12(10). e0185758–e0185758. 6 indexed citations
18.
Morís, Joaquín, et al.. (2016). Slower reacquisition after partial extinction in human contingency learning.. Journal of Experimental Psychology Learning Memory and Cognition. 43(1). 81–93. 7 indexed citations
19.
Blanco, Fernando, Itxaso Barberia, & Helena Matute. (2014). The Lack of Side Effects of an Ineffective Treatment Facilitates the Development of a Belief in Its Effectiveness. PLoS ONE. 9(1). e84084–e84084. 21 indexed citations
20.
Barberia, Itxaso, Fernando Blanco, Carmelo P. Cubillas, & Helena Matute. (2013). Implementation and Assessment of an Intervention to Debias Adolescents against Causal Illusions. PLoS ONE. 8(8). e71303–e71303. 36 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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