Laura Pedrini

56 total papers · 790 total citations
30 papers, 413 citations indexed

About

Laura Pedrini is a scholar working on Clinical Psychology, Psychiatry and Mental health and General Health Professions. According to data from OpenAlex, Laura Pedrini has authored 30 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 7 papers in Psychiatry and Mental health and 4 papers in General Health Professions. Recurrent topics in Laura Pedrini's work include Child and Adolescent Psychosocial and Emotional Development (10 papers), Personality Disorders and Psychopathology (5 papers) and Obsessive-Compulsive Spectrum Disorders (4 papers). Laura Pedrini is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (10 papers), Personality Disorders and Psychopathology (5 papers) and Obsessive-Compulsive Spectrum Disorders (4 papers). Laura Pedrini collaborates with scholars based in Italy, United Kingdom and United States. Laura Pedrini's co-authors include Roberta Rossi, Roberta Zanardini, Luisella Bocchio‐Chiavetto, Mariangela Lanfredi, Clarissa Ferrari, Massimo Gennarelli, Alessandra Minelli, Anna Placentino, Mariacarla Ventriglia and Alberto Ghilardi and has published in prestigious journals such as Psychological Medicine, Journal of Affective Disorders and Schizophrenia Research.

In The Last Decade

Laura Pedrini

30 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Pedrini 171 63 57 56 52 30 413
Jorge Mota-Pereira 135 0.8× 59 0.9× 57 1.0× 31 0.6× 23 0.4× 16 412
Tomohiro Shirasaka 89 0.5× 32 0.5× 34 0.6× 49 0.9× 47 0.9× 27 487
Jiarun Yang 117 0.7× 31 0.5× 23 0.4× 64 1.1× 40 0.8× 24 379
Ming‐Hong Hsieh 82 0.5× 92 1.5× 32 0.6× 46 0.8× 91 1.8× 37 446
Daniele Marcotulli 175 1.0× 74 1.2× 32 0.6× 96 1.7× 103 2.0× 27 475
Susan Kruger 163 1.0× 60 1.0× 46 0.8× 69 1.2× 80 1.5× 19 472
Yasuya Nakato 148 0.9× 105 1.7× 58 1.0× 92 1.6× 56 1.1× 17 417
Karin Gutiérrez‐Lobos 148 0.9× 22 0.3× 42 0.7× 66 1.2× 66 1.3× 23 442
Zhewu Wang 125 0.7× 58 0.9× 38 0.7× 73 1.3× 43 0.8× 26 475
Ashleigh Tickell 142 0.8× 95 1.5× 73 1.3× 25 0.4× 81 1.6× 18 383

Countries citing papers authored by Laura Pedrini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Pedrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Pedrini

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