Verónica Pérez‐Rosas

90 total papers · 2.8k total citations
48 papers, 1.4k citations indexed

About

Verónica Pérez‐Rosas is a scholar working on Social Psychology, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Verónica Pérez‐Rosas has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Social Psychology, 24 papers in Artificial Intelligence and 11 papers in Clinical Psychology. Recurrent topics in Verónica Pérez‐Rosas's work include Topic Modeling (15 papers), Deception detection and forensic psychology (13 papers) and Mental Health via Writing (8 papers). Verónica Pérez‐Rosas is often cited by papers focused on Topic Modeling (15 papers), Deception detection and forensic psychology (13 papers) and Mental Health via Writing (8 papers). Verónica Pérez‐Rosas collaborates with scholars based in United States, Singapore and Pakistan. Verónica Pérez‐Rosas's co-authors include Rada Mihalcea, Mihai Burzo, Mohamed Abouelenien, Louis–Philippe Morency, Ken Resnicow, Carmen Banea, Bennett Kleinberg, Stacy Loeb, Jacob Taylor and Satinder Singh and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, British Journal of Urology and IEEE Intelligent Systems.

In The Last Decade

Verónica Pérez‐Rosas

45 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Verónica Pérez‐Rosas 739 525 338 283 153 48 1.4k
Cosmin Munteanu 753 1.0× 318 0.6× 152 0.4× 268 0.9× 63 0.4× 132 1.7k
Maria Wolters 679 0.9× 166 0.3× 114 0.3× 140 0.5× 116 0.8× 129 1.8k
Stevie Chancellor 466 0.6× 587 1.1× 104 0.3× 590 2.1× 23 0.2× 45 1.6k
Michael B. Spring 304 0.4× 117 0.2× 227 0.7× 133 0.5× 52 0.3× 66 1.2k
Asta Roseway 169 0.2× 223 0.4× 189 0.6× 348 1.2× 66 0.4× 47 1.8k
Carl Vogel 407 0.6× 184 0.4× 81 0.2× 182 0.6× 49 0.3× 126 1.1k
Guy De Pauw 724 1.0× 252 0.5× 129 0.4× 177 0.6× 190 1.2× 77 1.3k
Benjamin R. Cowan 826 1.1× 501 1.0× 79 0.2× 217 0.8× 22 0.1× 98 1.5k
Didi Surian 543 0.7× 163 0.3× 159 0.5× 385 1.4× 20 0.1× 28 1.5k
Danielle Lottridge 240 0.3× 227 0.4× 100 0.3× 294 1.0× 35 0.2× 72 1.2k

Countries citing papers authored by Verónica Pérez‐Rosas

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Pérez‐Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Pérez‐Rosas. 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 Verónica Pérez‐Rosas. The network helps show where Verónica Pérez‐Rosas may publish in the future.

Co-authorship network of co-authors of Verónica Pérez‐Rosas

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Pérez‐Rosas. A scholar is included among the top collaborators of Verónica Pérez‐Rosas 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 Verónica Pérez‐Rosas. Verónica Pérez‐Rosas 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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