P Benvenuti

29 total papers · 433 total citations
13 papers, 341 citations indexed

About

P Benvenuti is a scholar working on Clinical Psychology, Sociology and Political Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, P Benvenuti has authored 13 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Psychology, 4 papers in Sociology and Political Science and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in P Benvenuti's work include Maternal Mental Health During Pregnancy and Postpartum (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Homicide, Infanticide, and Child Abuse (3 papers). P Benvenuti is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Homicide, Infanticide, and Child Abuse (3 papers). P Benvenuti collaborates with scholars based in Italy and United Kingdom. P Benvenuti's co-authors include Marco Giannini, Bastianina Contena, Yura Loscalzo, Alessio Gori, Adolfo Pazzagli, Giovanni M. Marchetti, P. L. Cabras, Valdo Ricca, Martina Smorti and Milena Di Bernardo and has published in prestigious journals such as Journal of Affective Disorders, The Journal of Clinical Psychiatry and General Hospital Psychiatry.

In The Last Decade

P Benvenuti

9 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
P Benvenuti	302	203	103	92	62	13	341
Tomoko Masuda	277 0.9×	184 0.9×	62 0.6×	88 1.0×	102 1.6×	10	314
Pamela Massoudi	257 0.9×	181 0.9×	92 0.9×	73 0.8×	43 0.7×	14	315
Emily Savage‐McGlynn	230 0.8×	218 1.1×	103 1.0×	81 0.9×	90 1.5×	9	386
Lauren Capron	233 0.8×	179 0.9×	164 1.6×	54 0.6×	70 1.1×	9	364
Juliane Junge‐Hoffmeister	260 0.9×	185 0.9×	77 0.7×	116 1.3×	73 1.2×	21	339
Zahra Alipour	232 0.8×	124 0.6×	145 1.4×	162 1.8×	75 1.2×	26	396
Odile Cazas	267 0.9×	185 0.9×	87 0.8×	46 0.5×	41 0.7×	17	348
Freya Thiel	213 0.7×	218 1.1×	59 0.6×	119 1.3×	72 1.2×	16	366
Diane Wilson	321 1.1×	259 1.3×	81 0.8×	66 0.7×	159 2.6×	6	398
Ariela Frieder	338 1.1×	177 0.9×	109 1.1×	124 1.3×	57 0.9×	7	403

Countries citing papers authored by P Benvenuti

Since Specialization

Citations

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

Fields of papers citing papers by P Benvenuti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Benvenuti

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