Iris Vilares

1.6k total citations
25 papers, 594 citations indexed

About

Iris Vilares is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Iris Vilares has authored 25 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Clinical Psychology and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Iris Vilares's work include Mental Health Research Topics (7 papers), Personality Disorders and Psychopathology (6 papers) and Neural dynamics and brain function (5 papers). Iris Vilares is often cited by papers focused on Mental Health Research Topics (7 papers), Personality Disorders and Psychopathology (6 papers) and Neural dynamics and brain function (5 papers). Iris Vilares collaborates with scholars based in United States, United Kingdom and Portugal. Iris Vilares's co-authors include Konrad P. Körding, Hugo L. Fernandes, Jay A. Gottfried, James D. Howard, Ian H. Stevenson, Mark V. Albert, Santiago D. Toledo, Christina Marciniak, P. Read Montague and Terry Lohrenz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Iris Vilares

22 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Vilares United States 11 345 114 102 89 74 25 594
Richard Roche Ireland 17 572 1.7× 128 1.1× 184 1.8× 58 0.7× 36 0.5× 41 874
Thenille Braun Janzen Canada 10 329 1.0× 48 0.4× 73 0.7× 167 1.9× 94 1.3× 17 500
Valentin Bégel France 12 373 1.1× 88 0.8× 78 0.8× 98 1.1× 44 0.6× 20 486
Rita Sleimen-Malkoun France 15 430 1.2× 41 0.4× 56 0.5× 102 1.1× 80 1.1× 29 637
Ellen Seiss United Kingdom 16 508 1.5× 115 1.0× 51 0.5× 79 0.9× 17 0.2× 39 761
Mauro Murgia Italy 17 430 1.2× 148 1.3× 61 0.6× 255 2.9× 130 1.8× 62 930
Caroline Whyatt United Kingdom 13 460 1.3× 36 0.3× 219 2.1× 61 0.7× 79 1.1× 21 676
Joshua D. Cosman United States 19 611 1.8× 269 2.4× 67 0.7× 150 1.7× 65 0.9× 41 1.0k
Bettina Studer Germany 14 368 1.1× 111 1.0× 92 0.9× 74 0.8× 14 0.2× 36 673
Chiara Giacosa Canada 9 224 0.6× 80 0.7× 48 0.5× 121 1.4× 25 0.3× 10 387

Countries citing papers authored by Iris Vilares

Since Specialization
Citations

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

Fields of papers citing papers by Iris Vilares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Vilares

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Vilares. A scholar is included among the top collaborators of Iris Vilares 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 Iris Vilares. Iris Vilares 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.
2.
Vilares, Iris, et al.. (2024). Relation between parenting style and confident decision-making in a student population. PLoS ONE. 19(11). e0302495–e0302495. 2 indexed citations
3.
Lahnakoski, Juha M., Tobias Nolte, Alec Solway, et al.. (2024). A machine-learning approach for differentiating borderline personality disorder from community participants with brain-wide functional connectivity. Journal of Affective Disorders. 360. 345–353. 3 indexed citations
4.
Torunsky, Nathan, et al.. (2023). What is the relationship between alexithymia and experiential avoidance? A latent analysis using three alexithymia questionnaires. Personality and Individual Differences. 214. 112308–112308. 5 indexed citations
5.
Vilares, Iris, et al.. (2023). Value Representations of Spite Sensitivity in Psychosis on the Minnesota Trust Game. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 9(4). 429–436. 2 indexed citations
6.
Vilares, Iris, et al.. (2022). A Computational Model of Non-optimal Suspiciousness in the Minnesota Trust Game. SHILAP Revista de lepidopterología. 6(1). 60–60. 4 indexed citations
7.
Redish, A. David, Ádám Kepecs, Lisa M. Anderson, et al.. (2021). Computational validity: using computation to translate behaviours across species. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1844). 20200525–20200525. 31 indexed citations
8.
Song, Xin & Iris Vilares. (2021). Assessing the relationship between the human learned helplessness depression model and anhedonia. PLoS ONE. 16(3). e0249056–e0249056. 14 indexed citations
9.
Trapp, Sabrina & Iris Vilares. (2020). Bayesian decision-making under stress-preserved weighting of prior and likelihood information. Scientific Reports. 10(1). 21456–21456. 3 indexed citations
10.
Vilares, Iris, et al.. (2020). Meta-Analysis of white matter diffusion tensor imaging alterations in borderline personality disorder. Psychiatry Research Neuroimaging. 307. 111205–111205. 7 indexed citations
11.
Vilares, Iris, Tobias Nolte, Andreas Hula, et al.. (2019). O8. Computational Phenotyping in Borderline Personality Using a Role-Based Social Hierarchy Probe. Biological Psychiatry. 85(10). S108–S108.
12.
Hula, Andreas, Iris Vilares, Terry Lohrenz, Peter Dayan, & P. Read Montague. (2018). A model of risk and mental state shifts during social interaction. PLoS Computational Biology. 14(2). e1005935–e1005935. 37 indexed citations
13.
Vilares, Iris & Konrad P. Körding. (2017). Dopaminergic medication increases reliance on current information in Parkinson’s disease. Nature Human Behaviour. 1(8). 129–129. 25 indexed citations
14.
Vilares, Iris, Michael J. Wesley, Woo‐Young Ahn, et al.. (2017). Predicting the knowledge–recklessness distinction in the human brain. Proceedings of the National Academy of Sciences. 114(12). 3222–3227. 16 indexed citations
15.
Fernandes, Hugo L., Ian H. Stevenson, Iris Vilares, & Konrad P. Körding. (2014). The Generalization of Prior Uncertainty during Reaching. Journal of Neuroscience. 34(34). 11470–11484. 22 indexed citations
16.
Vilares, Iris, et al.. (2013). Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease. PM&R. 5(9). 769–777. 104 indexed citations
17.
Vilares, Iris, James D. Howard, Hugo L. Fernandes, Jay A. Gottfried, & Konrad P. Körding. (2012). Differential Representations of Prior and Likelihood Uncertainty in the Human Brain. Current Biology. 22(18). 1641–1648. 112 indexed citations
18.
Vilares, Iris, et al.. (2011). Trust and Reciprocity: Are Effort and Money Equivalent?. PLoS ONE. 6(2). e17113–e17113. 15 indexed citations
19.
Vilares, Iris & Konrad P. Körding. (2011). Bayesian models: the structure of the world, uncertainty, behavior, and the brain. Annals of the New York Academy of Sciences. 1224(1). 22–39. 130 indexed citations
20.
Stevenson, Ian H., Hugo L. Fernandes, Iris Vilares, Kunlin Wei, & Konrad P. Körding. (2009). Bayesian Integration and Non-Linear Feedback Control in a Full-Body Motor Task. PLoS Computational Biology. 5(12). e1000629–e1000629. 43 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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