Federico Chella
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
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- Blind Source Separation Techniques
Papers in
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- Functional Brain Connectivity Studies 12
- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 10
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- Advanced MRI Techniques and Applications 3
- Co-authors
- Vittorio Pizzella (19 shared papers)Laura Marzetti (19 shared papers)Filippo Zappasodi (5 shared papers)Alessio Basti (11 shared papers)Antea D’Andrea (6 shared papers)Gian Luca Romani (8 shared papers)Guido Nolte (4 shared papers)Antonino Raffone (1 shared paper)
In The Last Decade
Federico Chella
19 papers receiving 451 citations
Peers
Comparison fields: 5 of 55
- Cognitive Neuroscience 385
- Signal Processing 36
- Neurology 21
- Experimental and Cognitive Psychology 33
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Federico Chella
This map shows the geographic impact of Federico Chella'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 Federico Chella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Chella more than expected).
Fields of papers citing papers by Federico Chella
This network shows the impact of papers produced by Federico Chella. 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 Federico Chella. The network helps show where Federico Chella may publish in the future.
Co-authors
The 24 scholars most cited alongside Federico Chella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 104 | |
| 2 | 2019 | 60 | |
| 3 | 2014 | 53 | |
| 4 | 2014 | 41 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 32 | |
| 7 | 2018 | 30 | |
| 8 | 2019 | 25 | |
| 9 | 2012 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2016 | 15 | |
| 12 | 2017 | 6 | |
| 13 | 2022 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 |
About Federico Chella
Federico Chella is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Signal Processing, Computer Networks and Communications and Neurology, having authored 19 papers that have together received 455 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (10 papers), Advanced MRI Techniques and Applications (3 papers), Blind Source Separation Techniques (2 papers), Neurological disorders and treatments (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Cognitive Neuroscience (385 citations), Signal Processing (36 citations), Neurology (21 citations), Experimental and Cognitive Psychology (33 citations) and Radiology, Nuclear Medicine and Imaging (50 citations). Federico Chella has collaborated with scholars based in Italy, Germany and Finland. Frequent co-authors include Vittorio Pizzella, Laura Marzetti, Filippo Zappasodi, Alessio Basti, Antea D’Andrea, Gian Luca Romani, Guido Nolte, Antonino Raffone, Tom R. Marshall and Ole Jensen. Their work appears in journals such as NeuroImage, Journal of Neural Engineering, Brain stimulation, Frontiers in Neuroscience and Physical review. E.
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.