Fabio Bernardoni

54 papers receiving 1.2k citations

Peers

Fabio Bernardoni
Comparison fields: 5 of 101
  • Clinical Psychology 679
  • Applied Psychology 111
  • Biological Psychiatry 36
  • Cognitive Neuroscience 264
  • Endocrine and Autonomic Systems 90
Replace Xiaomei Li with:
Xiaomei Li China
Beth A. Jerskey United States
Claudia Lenz Switzerland
Marinos Kyriakopoulos United Kingdom
Carl Becker United States
Conall Larkin Ireland
Na Young Shin South Korea
Cinly Ooi United Kingdom
Julio Sanjuán Spain
Karolina Leopold Germany
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Citations per year

Countries citing papers authored by Fabio Bernardoni

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Bernardoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabio Bernardoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabio Bernardoni Line = papers co-authored together Fabio Bernardoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015196
2 2016104
3 201653
4 201852
5 201846
6 201746
7 201743
8 201642
9 201737
10 201630
11 201629
12 201829
13 202029
14 202226
15 201426
16 201725
17 201724
18 201923
19 202022
20 202221

About Fabio Bernardoni

Fabio Bernardoni is a scholar working on Clinical Psychology, Cognitive Neuroscience, Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging and Endocrine and Autonomic Systems, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Eating Disorders and Behaviors (31 papers), Particle physics theoretical and experimental studies (14 papers), Quantum Chromodynamics and Particle Interactions (14 papers), High-Energy Particle Collisions Research (11 papers), Functional Brain Connectivity Studies (11 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Behavioral Health and Interventions (6 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Clinical Psychology (679 citations), Applied Psychology (111 citations), Biological Psychiatry (36 citations), Cognitive Neuroscience (264 citations) and Endocrine and Autonomic Systems (90 citations). Fabio Bernardoni has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Ehrlich, Veit Roessner, Joseph A. King, Daniel Geisler, Maria Seidel, Franziska Ritschel, Ilka Boehm, Vince D. Calhoun, Michael N. Smolka and Esther Walton. Their work appears in journals such as Psychological Medicine, Journal of the American Academy of Child & Adolescent Psychiatry, Physics Letters B, Scientific Reports and Journal of Psychiatry and Neuroscience.

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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