Vanesa Peinado

35 total papers · 578 total citations
19 papers, 304 citations indexed

About

Vanesa Peinado is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Vanesa Peinado has authored 19 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Clinical Psychology, 9 papers in Experimental and Cognitive Psychology and 5 papers in Social Psychology. Recurrent topics in Vanesa Peinado's work include Psychological Well-being and Life Satisfaction (5 papers), Mental Health Research Topics (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Vanesa Peinado is often cited by papers focused on Psychological Well-being and Life Satisfaction (5 papers), Mental Health Research Topics (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Vanesa Peinado collaborates with scholars based in Spain, United Kingdom and Belgium. Vanesa Peinado's co-authors include Almudena Trucharte, Alba Contreras, Carmen Valiente, Carmelo Vázquez, Richard P. Bentall, Felipe E. García, Antón P. Martínez, Eva Cerezo, Regina Espinosa and Filippo Varese and has published in prestigious journals such as Personality and Individual Differences, Psychiatry Research and Schizophrenia Research.

In The Last Decade

Vanesa Peinado

16 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Vanesa Peinado	210	93	61	48	48	19	304
Yuki Shiratori	194 0.9×	70 0.8×	75 1.2×	42 0.9×	46 1.0×	22	257
MacKenzie Hughes	234 1.1×	97 1.0×	109 1.8×	71 1.5×	44 0.9×	16	362
Zoylen Fernández-Fleites	231 1.1×	51 0.5×	52 0.9×	39 0.8×	48 1.0×	19	297
Sohyun C. Han	186 0.9×	103 1.1×	57 0.9×	46 1.0×	60 1.3×	27	338
Mélissa Macalli	198 0.9×	82 0.9×	54 0.9×	26 0.5×	24 0.5×	18	271
Amy Clotworthy	190 0.9×	66 0.7×	82 1.3×	77 1.6×	43 0.9×	13	303
Koubun Wakashima	258 1.2×	81 0.9×	57 0.9×	38 0.8×	73 1.5×	30	365
Gautam Saha	166 0.8×	105 1.1×	84 1.4×	30 0.6×	23 0.5×	19	325
T.Y. Marinova	230 1.1×	63 0.7×	59 1.0×	23 0.5×	48 1.0×	13	298
Stéphanie Bourion-Bédès	198 0.9×	72 0.8×	80 1.3×	19 0.4×	40 0.8×	30	343

Countries citing papers authored by Vanesa Peinado

Since Specialization

Citations

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

Fields of papers citing papers by Vanesa Peinado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanesa Peinado

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