Leonardo Fava

15 total papers · 676 total citations
14 papers, 471 citations indexed

About

Leonardo Fava is a scholar working on Clinical Psychology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Leonardo Fava has authored 14 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 10 papers in Cognitive Neuroscience and 6 papers in Psychiatry and Mental health. Recurrent topics in Leonardo Fava's work include Autism Spectrum Disorder Research (10 papers), Family and Disability Support Research (9 papers) and Behavioral and Psychological Studies (6 papers). Leonardo Fava is often cited by papers focused on Autism Spectrum Disorder Research (10 papers), Family and Disability Support Research (9 papers) and Behavioral and Psychological Studies (6 papers). Leonardo Fava collaborates with scholars based in Italy, Germany and Canada. Leonardo Fava's co-authors include Kristin Strauß, Stefano Vicari, Giovanni Valeri, Lidia D’Elia, Serena Arima, John Morton, Francesco Mancini, Monika Bullinger, Holger Muehlan and Silvia Riva and has published in prestigious journals such as Clinical Psychology Review, Thermochimica Acta and Disability and Rehabilitation.

In The Last Decade

Leonardo Fava

14 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Fava 330 312 192 105 63 14 471
Steven E. Gutstein 297 0.9× 293 0.9× 114 0.6× 110 1.0× 39 0.6× 21 459
Natalie I. Berger 380 1.2× 405 1.3× 109 0.6× 138 1.3× 52 0.8× 18 519
June L. Chen 290 0.9× 392 1.3× 218 1.1× 53 0.5× 29 0.5× 15 541
Serena Wieder 347 1.1× 309 1.0× 117 0.6× 163 1.6× 41 0.7× 22 514
Anthony J. Plienis 377 1.1× 324 1.0× 168 0.9× 96 0.9× 37 0.6× 9 445
Tze Jui Goh 382 1.2× 387 1.2× 209 1.1× 58 0.6× 35 0.6× 20 497
Nora Choque Olsson 323 1.0× 417 1.3× 142 0.7× 102 1.0× 27 0.4× 19 502
Melissa Maye 301 0.9× 389 1.2× 127 0.7× 83 0.8× 32 0.5× 21 465
Brenda Salley 227 0.7× 271 0.9× 88 0.5× 210 2.0× 54 0.9× 26 521
Joaquín Fuentes 208 0.6× 327 1.0× 204 1.1× 29 0.3× 36 0.6× 22 493

Countries citing papers authored by Leonardo Fava

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Fava

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