Leonardo Fava

About

Leonardo Fava is a scholar working on Cognitive Neuroscience, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Leonardo Fava has authored 14 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 10 papers in Clinical Psychology 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 United States. Leonardo Fava's co-authors include Kristin Strauß, Giovanni Valeri, Stefano Vicari, Lidia D’Elia, Serena Arima, John Morton, Francesco Mancini, Monika Bullinger, Holger Muehlan and Marta Krasuska and has published in prestigious journals such as Clinical Psychology Review, Thermochimica Acta and Disability and Rehabilitation.

In The Last Decade

Co-authorship network of co-authors of Leonardo Fava i

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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.

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).

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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