Gabriele Arnulfo
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- J. Matias PalvaLino NobiliFrancesco CardinaleSatu PalvaGiorgio Lo RussoLaura CastanaAlessio MoscatoGiuseppe Casaceli
- Topics
- Neural dynamics and brain function (17 papers)EEG and Brain-Computer Interfaces (16 papers)Functional Brain Connectivity Studies (14 papers)
- Journals
- Nature CommunicationsJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- ItalyFinlandUnited Kingdom
In The Last Decade
Gabriele Arnulfo
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 849
- Cellular and Molecular Neuroscience 412
- Psychiatry and Mental health 367
- Neurology 298
- Radiology, Nuclear Medicine and Imaging 132
Countries citing papers authored by Gabriele Arnulfo
This map shows the geographic impact of Gabriele Arnulfo'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 Gabriele Arnulfo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Arnulfo more than expected).
Fields of papers citing papers by Gabriele Arnulfo
This network shows the impact of papers produced by Gabriele Arnulfo. 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 Gabriele Arnulfo. The network helps show where Gabriele Arnulfo may publish in the future.
Co-authorship network of co-authors of Gabriele Arnulfo
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Arnulfo. A scholar is included among the top collaborators of Gabriele Arnulfo 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 Gabriele Arnulfo. Gabriele Arnulfo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 59 | |
| 14 | 7 | |
| 15 | 82 | |
| 16 | 19 | |
| 17 | 15 | |
| 18 | 43 | |
| 19 | 71 | |
| 20 | 42 |
About Gabriele Arnulfo
Gabriele Arnulfo is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), EEG and Brain-Computer Interfaces (16 papers) and Functional Brain Connectivity Studies (14 papers). The work is most often cited by research in Cognitive Neuroscience (849 citations), Psychiatry and Mental health (367 citations) and Cellular and Molecular Neuroscience (412 citations). Gabriele Arnulfo has collaborated with scholars based in Italy, Finland and United Kingdom. Frequent co-authors include J. Matias Palva, Lino Nobili, Francesco Cardinale, Satu Palva, Giorgio Lo Russo, Laura Castana, Alessio Moscato, Giuseppe Casaceli, Dalila Fuschillo and Chiara Caborni. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.