Leonardo Fava

681 citations
14 papers · 473 indexed · h-index 11
Topics
Autism Spectrum Disorder Research (10 papers)Family and Disability Support Research (9 papers)Behavioral and Psychological Studies (6 papers)
Partner nations
ItalyGermanyCanada

In The Last Decade

Leonardo Fava

14 papers receiving 450 citations

Peers

Leonardo Fava
Comparison fields: 5 of 70
  • Clinical Psychology 331
  • Cognitive Neuroscience 313
  • Psychiatry and Mental health 194
  • Developmental and Educational Psychology 106
  • Pediatrics, Perinatology and Child Health 64
Replace Carmel Sivaratnam with:
Carmel Sivaratnam Australia
Anthony J. Plienis United States
Robert Myatt United States
Seth D. Laracy United States
Bruce Ferguson Canada
Mojdeh Bayat United States
Laura Hudson United States
Ruth Ellingsen United States
Kyle M. Frost United States
Bosiljka Milosavljevic United Kingdom
Leonardo Fava relative to Carmel Sivaratnam Australia Carmel Sivaratnam's profile →
Citations per field
00.5×7.4×
Carmel Sivaratnam · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 12
2 19
3 7
4 33
5 52
6 5
7 139
8 18
9 54
10 18
11 17
12 54
13 35
14 10

About Leonardo Fava

Leonardo Fava is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Clinical Psychology, having authored 14 papers that have together received 473 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (10 papers), Family and Disability Support Research (9 papers) and Behavioral and Psychological Studies (6 papers). The work is most often cited by research in Cognitive Neuroscience (313 citations), Clinical Psychology (331 citations) and Psychiatry and Mental health (194 citations). Leonardo Fava has collaborated with scholars based in Italy, Germany and Canada. Frequent co-authors include Kristin Strauß, Giovanni Valeri, Stefano Vicari, Lidia D’Elia, Serena Arima, John Morton, Francesco Mancini, Monika Bullinger, Holger Muehlan and Silvia Riva. Their work appears in journals such as Clinical Psychology Review, Thermochimica Acta and Disability and Rehabilitation.

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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