Paula Villar

36 total papers · 1.1k total citations
31 papers, 746 citations indexed

About

Paula Villar is a scholar working on Clinical Psychology, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Paula Villar has authored 31 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Clinical Psychology, 12 papers in Sociology and Political Science and 9 papers in Social Psychology. Recurrent topics in Paula Villar's work include Child and Adolescent Psychosocial and Emotional Development (12 papers), Racial and Ethnic Identity Research (7 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (6 papers). Paula Villar is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (12 papers), Racial and Ethnic Identity Research (7 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (6 papers). Paula Villar collaborates with scholars based in Spain, United States and Sweden. Paula Villar's co-authors include Estrella Romero, José Antonio Gómez Fraguela, Laura López‐Romero, María Ángeles Luengo Martín, Beatriz Domínguez-Álvarez, Stephen Kulis, Flavio F. Marsiglia, Monica Parsai, Tanya Nieri and Jorge Sobral and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Personality and Individual Differences.

In The Last Decade

Paula Villar

30 papers receiving 695 citations

Author Peers

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

Author Last Decade Papers Cites
Paula Villar 481 220 214 95 93 31 746
Jorge Sobral 332 0.7× 249 1.1× 207 1.0× 73 0.8× 83 0.9× 38 624
Borbála Paksi 465 1.0× 278 1.3× 199 0.9× 122 1.3× 130 1.4× 51 850
K. Robert Bridges 310 0.6× 140 0.6× 212 1.0× 104 1.1× 151 1.6× 39 839
Guangzhe Frank Yuan 432 0.9× 260 1.2× 248 1.2× 154 1.6× 147 1.6× 64 823
Richard P. Halgin 479 1.0× 197 0.9× 303 1.4× 74 0.8× 92 1.0× 52 851
Paula Jáuregui 591 1.2× 338 1.5× 178 0.8× 94 1.0× 160 1.7× 40 869
Nancy A. Busch‐Rossnagel 338 0.7× 273 1.2× 243 1.1× 117 1.2× 183 2.0× 32 886
Jules D. Holzberg 412 0.9× 119 0.5× 254 1.2× 109 1.1× 62 0.7× 38 862
David E. Szwedo 335 0.7× 252 1.1× 256 1.2× 53 0.6× 195 2.1× 24 699
Cai Lian Tam 253 0.5× 152 0.7× 174 0.8× 51 0.5× 126 1.4× 57 699

Countries citing papers authored by Paula Villar

Since Specialization
Citations

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

Fields of papers citing papers by Paula Villar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Villar

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Villar. A scholar is included among the top collaborators of Paula Villar 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 Paula Villar. Paula Villar 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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