Adenauer G. Casali
- Cognitive Neuroscience top 0.5%
- Neurology top 0.5%
- Epidemiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 2%
- Co-authors
- Marcello MassiminiMario RosanovaGiulio TononiSilvia CasarottoMélanie BolySimone SarassoMaurizio MariottiOlivia Gosseries
- Topics
- Functional Brain Connectivity Studies (27 papers)Neural dynamics and brain function (25 papers)EEG and Brain-Computer Interfaces (17 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Adenauer G. Casali
50 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 3.4k
- Neurology 1.1k
- Epidemiology 819
- Cellular and Molecular Neuroscience 534
- Neurology 459
Countries citing papers authored by Adenauer G. Casali
This map shows the geographic impact of Adenauer G. Casali'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 Adenauer G. Casali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adenauer G. Casali more than expected).
Fields of papers citing papers by Adenauer G. Casali
This network shows the impact of papers produced by Adenauer G. Casali. 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 Adenauer G. Casali. The network helps show where Adenauer G. Casali may publish in the future.
Co-authorship network of co-authors of Adenauer G. Casali
This figure shows the co-authorship network connecting the top 25 collaborators of Adenauer G. Casali. A scholar is included among the top collaborators of Adenauer G. Casali 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 Adenauer G. Casali. Adenauer G. Casali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 31 | |
| 8 | 99 | |
| 9 | 78 | |
| 10 | 105 | |
| 11 | 25 | |
| 12 | 255 | |
| 13 | 30 | |
| 14 | 34 | |
| 15 | 43 | |
| 16 | 393 | |
| 17 | 155 | |
| 18 | 125 | |
| 19 | Natural Frequencies of Human Corticothalamic Circuitsbreakdown → | 502 |
| 20 | 184 |
About Adenauer G. Casali
Adenauer G. Casali is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 4.6k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (27 papers), Neural dynamics and brain function (25 papers) and EEG and Brain-Computer Interfaces (17 papers). The work is most often cited by research in Cognitive Neuroscience (3.4k citations), Neurology (1.1k citations) and Anesthesiology and Pain Medicine (208 citations). Adenauer G. Casali has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Marcello Massimini, Mario Rosanova, Giulio Tononi, Silvia Casarotto, Mélanie Boly, Simone Sarasso, Maurizio Mariotti, Olivia Gosseries, Steven Laureys and Valentina Bellina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.