Pasquale Arpaïa
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 2%
- Computer Networks and Communications top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Nicola MoccaldiPasquale DaponteLeopoldo AngrisaniAntonio EspósitoLuigi DuraccioEgidio De BenedettoLinus MichaeliAndrea Apicella
- Topics
- EEG and Brain-Computer Interfaces (66 papers)Superconducting Materials and Applications (49 papers)Particle Accelerators and Free-Electron Lasers (38 papers)
- Partner nations
- ItalySwitzerlandPortugal
In The Last Decade
Pasquale Arpaïa
304 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 157
- Electrical and Electronic Engineering 1.2k
- Biomedical Engineering 896
- Cognitive Neuroscience 682
- Computer Networks and Communications 536
- Control and Systems Engineering 242
Countries citing papers authored by Pasquale Arpaïa
This map shows the geographic impact of Pasquale Arpaïa'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 Pasquale Arpaïa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasquale Arpaïa more than expected).
Fields of papers citing papers by Pasquale Arpaïa
This network shows the impact of papers produced by Pasquale Arpaïa. 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 Pasquale Arpaïa. The network helps show where Pasquale Arpaïa may publish in the future.
Co-authorship network of co-authors of Pasquale Arpaïa
This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Arpaïa. A scholar is included among the top collaborators of Pasquale Arpaïa 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 Pasquale Arpaïa. Pasquale Arpaïa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 24 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 101 | |
| 19 | 5 | |
| 20 | Metrological characterization of the bunch length system measurement of the ELI - NP electron linac | 1 |
About Pasquale Arpaïa
Pasquale Arpaïa is a scholar working on Cognitive Neuroscience, Hardware and Architecture and Electrical and Electronic Engineering, having authored 340 papers that have together received 3.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (66 papers), Superconducting Materials and Applications (49 papers) and Particle Accelerators and Free-Electron Lasers (38 papers). The work is most often cited by research in Human-Computer Interaction (223 citations), Cognitive Neuroscience (682 citations) and Hardware and Architecture (162 citations). Pasquale Arpaïa has collaborated with scholars based in Italy, Switzerland and Portugal. Frequent co-authors include Nicola Moccaldi, Pasquale Daponte, Leopoldo Angrisani, Antonio Espósito, Luigi Duraccio, Egidio De Benedetto, Linus Michaeli, Andrea Apicella, A. Cruz Serra and A. Baccigalupi. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.