Leonardo Cerliani
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Psychiatry and Mental health top 5%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Christian KeysersRajat M. ThomasMichel Thiebaut de SchottenLuca NanettiValeria GazzolaEmmanuelle VolleMarc ThiouxMaarten Mennes
- Topics
- Functional Brain Connectivity Studies (16 papers)Advanced Neuroimaging Techniques and Applications (14 papers)Neural dynamics and brain function (5 papers)
- Journals
- PLoS ONENeuroImageCerebral Cortex
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Leonardo Cerliani
24 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 1.3k
- Radiology, Nuclear Medicine and Imaging 567
- Psychiatry and Mental health 267
- Social Psychology 244
- Experimental and Cognitive Psychology 114
Countries citing papers authored by Leonardo Cerliani
This map shows the geographic impact of Leonardo Cerliani'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 Cerliani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Cerliani more than expected).
Fields of papers citing papers by Leonardo Cerliani
This network shows the impact of papers produced by Leonardo Cerliani. 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 Cerliani. The network helps show where Leonardo Cerliani may publish in the future.
Co-authorship network of co-authors of Leonardo Cerliani
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Cerliani. A scholar is included among the top collaborators of Leonardo Cerliani 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 Cerliani. Leonardo Cerliani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 8 | |
| 3 | 82 | |
| 4 | 28 | |
| 5 | 233 | |
| 6 | 18 | |
| 7 | 80 | |
| 8 | 35 | |
| 9 | 49 | |
| 10 | 13 | |
| 11 | 24 | |
| 12 | 40 | |
| 13 | 12 | |
| 14 | 64 | |
| 15 | 83 | |
| 16 | 139 | |
| 17 | 238 | |
| 18 | 16 | |
| 19 | 92 | |
| 20 | 117 |
About Leonardo Cerliani
Leonardo Cerliani is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Behavioral Neuroscience, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), Advanced Neuroimaging Techniques and Applications (14 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Radiology, Nuclear Medicine and Imaging (567 citations) and Behavioral Neuroscience (64 citations). Leonardo Cerliani has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Christian Keysers, Rajat M. Thomas, Michel Thiebaut de Schotten, Luca Nanetti, Valeria Gazzola, Emmanuelle Volle, Marc Thioux, Maarten Mennes, Adriana Di Martino and Richard Lévy. Their work appears in journals such as PLoS ONE, NeuroImage and Cerebral Cortex.
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.