Lavinia De Peppo

12 total papers · 711 total citations
12 papers, 491 citations indexed

About

Lavinia De Peppo is a scholar working on Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Lavinia De Peppo has authored 12 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Clinical Psychology and 5 papers in Psychiatry and Mental health. Recurrent topics in Lavinia De Peppo's work include Autism Spectrum Disorder Research (8 papers), Family and Disability Support Research (5 papers) and Child Nutrition and Feeding Issues (4 papers). Lavinia De Peppo is often cited by papers focused on Autism Spectrum Disorder Research (8 papers), Family and Disability Support Research (5 papers) and Child Nutrition and Feeding Issues (4 papers). Lavinia De Peppo collaborates with scholars based in Italy and United States. Lavinia De Peppo's co-authors include Stefano Vicari, Luigi Mazzone, Valentina Postorino, Laura Maria Fatta, Giulia Giovagnoli, Marco Armando, Paola De Rose, Laura Reale, Lawrence David Scahill and Deny Menghini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Medicine and Journal of Autism and Developmental Disorders.

In The Last Decade

Lavinia De Peppo

12 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Lavinia De Peppo 366 300 271 69 53 12 491
June L. Chen 392 1.1× 290 1.0× 218 0.8× 50 0.7× 56 1.1× 15 541
Laura Maria Fatta 417 1.1× 338 1.1× 312 1.2× 79 1.1× 61 1.2× 17 552
Leticia Boada 349 1.0× 160 0.5× 283 1.0× 115 1.7× 35 0.7× 21 515
Lynda A. Archer 377 1.0× 289 1.0× 232 0.9× 119 1.7× 139 2.6× 13 546
Thomas Owley 441 1.2× 176 0.6× 286 1.1× 143 2.1× 67 1.3× 16 542
Francesco Montecchi 289 0.8× 159 0.5× 139 0.5× 146 2.1× 61 1.2× 18 460
Lee Tidmarsh 299 0.8× 154 0.5× 109 0.4× 103 1.5× 97 1.8× 10 442
Joaquín Fuentes 327 0.9× 208 0.7× 204 0.8× 72 1.0× 70 1.3× 22 493
Antonia San José Cáceres 412 1.1× 200 0.7× 204 0.8× 105 1.5× 62 1.2× 16 479
Martina Barnevik Olsson 322 0.9× 173 0.6× 166 0.6× 84 1.2× 56 1.1× 12 420

Countries citing papers authored by Lavinia De Peppo

Since Specialization
Citations

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

Fields of papers citing papers by Lavinia De Peppo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lavinia De Peppo. 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 Lavinia De Peppo. The network helps show where Lavinia De Peppo may publish in the future.

Co-authorship network of co-authors of Lavinia De Peppo

This figure shows the co-authorship network connecting the top 25 collaborators of Lavinia De Peppo. A scholar is included among the top collaborators of Lavinia De Peppo 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 Lavinia De Peppo. Lavinia De Peppo 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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