Pasquale Arpaïa

4.6k total citations
340 papers, 3.1k citations indexed

About

Pasquale Arpaïa is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Pasquale Arpaïa has authored 340 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Electrical and Electronic Engineering, 117 papers in Biomedical Engineering and 70 papers in Cognitive Neuroscience. Recurrent topics in Pasquale Arpaïa's work include EEG and Brain-Computer Interfaces (66 papers), Superconducting Materials and Applications (49 papers) and Particle Accelerators and Free-Electron Lasers (38 papers). Pasquale Arpaïa is often cited by papers focused on EEG and Brain-Computer Interfaces (66 papers), Superconducting Materials and Applications (49 papers) and Particle Accelerators and Free-Electron Lasers (38 papers). Pasquale Arpaïa collaborates with scholars based in Italy, Switzerland and Portugal. Pasquale Arpaïa's 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 and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Pasquale Arpaïa

304 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pasquale Arpaïa Italy 27 1.2k 896 682 536 242 340 3.1k
Wan‐Young Chung South Korea 40 1.8k 1.5× 2.2k 2.4× 739 1.1× 907 1.7× 121 0.5× 291 5.6k
Mingui Sun United States 34 1.4k 1.1× 1.3k 1.4× 516 0.8× 149 0.3× 166 0.7× 329 4.7k
Elisabetta Farella Italy 29 713 0.6× 1.0k 1.1× 396 0.6× 485 0.9× 112 0.5× 129 2.5k
Zhi‐Hong Mao United States 30 1.1k 1.0× 711 0.8× 337 0.5× 132 0.2× 361 1.5× 159 2.9k
Radek Martínek Czechia 31 1.2k 1.0× 1.0k 1.2× 624 0.9× 526 1.0× 217 0.9× 322 4.1k
Othman Omran Khalifa Malaysia 24 580 0.5× 511 0.6× 288 0.4× 512 1.0× 101 0.4× 295 2.6k
Zhihua Wang China 32 4.5k 3.8× 2.1k 2.4× 399 0.6× 442 0.8× 162 0.7× 852 6.8k
Nikolaos Bourbakis United States 26 639 0.5× 1.1k 1.3× 931 1.4× 589 1.1× 138 0.6× 240 5.1k
Sridhar Krishnan Canada 39 467 0.4× 1.3k 1.4× 1.0k 1.5× 216 0.4× 380 1.6× 342 5.4k

Countries citing papers authored by Pasquale Arpaïa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Angrisani, Leopoldo, et al.. (2025). An Open Steady-State Visually Evoked Potentials Dataset for Augmented Reality-Based Brain–Computer Interfaces. IEEE Sensors Journal. 25(20). 38957–38965.
3.
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Manzo, Rosanna, Pasquale Arpaïa, Marco Balato, et al.. (2024). FEM-based Parametric Optimization of a Measurement Setup for Sensitivity Improvement in Insulin Absorption Assessment. 1–6. 1 indexed citations
5.
Arpaïa, Pasquale, et al.. (2024). Optimization of Measurement Setup in Bioimpedance-based Insulin Absorption Assessment. 1–6. 1 indexed citations
6.
Espósito, Antonio, Josef Scharinger, Harald Pretl, et al.. (2024). Real-time estimation of EEG-based engagement in different tasks. Journal of Neural Engineering. 21(1). 16014–16014. 8 indexed citations
7.
Apicella, Andrea, Pasquale Arpaïa, Giovanni D’Errico, et al.. (2024). Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods. Neurocomputing. 604. 128354–128354. 10 indexed citations
8.
Annuzzi, Giovanni, Andrea Apicella, Pasquale Arpaïa, et al.. (2023). Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning. IEEE Access. 11. 17104–17115. 18 indexed citations
9.
Annuzzi, Giovanni, Andrea Apicella, Pasquale Arpaïa, et al.. (2023). Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. IEEE Journal of Biomedical and Health Informatics. 28(5). 3123–3133. 17 indexed citations
10.
Angrisani, Leopoldo, et al.. (2023). Wearable Brain–Computer Interfaces Based on Steady-State Visually Evoked Potentials and Augmented Reality: A Review. IEEE Sensors Journal. 23(15). 16501–16514. 16 indexed citations
11.
Apicella, Andrea, Pasquale Arpaïa, Egidio De Benedetto, et al.. (2023). Employment of Domain Adaptation Techniques in SSVEP-Based Brain–Computer Interfaces. IEEE Access. 11. 36147–36157. 11 indexed citations
12.
Arpaïa, Pasquale, et al.. (2023). Analysis of Powering and Quench Protection of the SIGRUM Superconducting Combined-Function Dipole Magnet. IEEE Transactions on Applied Superconductivity. 33(7). 1–8. 1 indexed citations
13.
Apicella, Andrea, et al.. (2022). A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. IEEE Access. 10. 117411–117428. 24 indexed citations
14.
Balato, Marco, Carlo Petrarca, Pasquale Arpaïa, et al.. (2022). Detecting and Monitoring Periprosthetic Joint Infection by Using Electrical Bioimpedance Spectroscopy: A Preliminary Case Study. Diagnostics. 12(7). 1680–1680. 3 indexed citations
15.
Affinito, Giuseppina, Pasquale Arpaïa, Francesco Barone‐Adesi, et al.. (2021). A Cardiovascular Risk Score for Use in Occupational Medicine. Journal of Clinical Medicine. 10(13). 2789–2789. 1 indexed citations
16.
Arpaïa, Pasquale, A. Mostacci, L. Palumbo, et al.. (2021). Electromagnetic characterization of the crystal primary collimators for the HL-LHC. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1010. 165465–165465.
17.
Arpaïa, Pasquale, et al.. (2021). Wake-function, impedance, and energy loss determination for two countermoving particle beams. Physical Review Accelerators and Beams. 24(4).
18.
Arpaïa, Pasquale, et al.. (2020). A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis. IEEE Transactions on Instrumentation and Measurement. 69(10). 8335–8343. 101 indexed citations
19.
Arpaïa, Pasquale, et al.. (2020). Magnetic characterization of Mumetal® for passive shielding of stray fields down to the nano-Tesla level. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 988. 164904–164904. 5 indexed citations
20.
Alesini, D., Pasquale Arpaïa, Annalisa Liccardo, et al.. (2016). Metrological characterization of the bunch length system measurement of the ELI - NP electron linac. IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations

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.

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