Maurizio Campolo

685 total citations
15 papers, 465 citations indexed

About

Maurizio Campolo is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Maurizio Campolo has authored 15 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Maurizio Campolo's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (3 papers). Maurizio Campolo is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (3 papers). Maurizio Campolo collaborates with scholars based in Italy, United States and Montenegro. Maurizio Campolo's co-authors include Francesco Carlo Morabito, Cosimo Ieracitano, Nadia Mammone, Alessia Bramanti, Lilla Bonanno, Simona De Salvo, Placido Bramanti, Domenico Labate, M. J. Ebadi and Eros Pasero and has published in prestigious journals such as IEEE Transactions on Magnetics, IEEE/CAA Journal of Automatica Sinica and Entropy.

In The Last Decade

Maurizio Campolo

15 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurizio Campolo Italy 8 257 94 70 63 55 15 465
Inung Wijayanto Indonesia 12 238 0.9× 65 0.7× 47 0.7× 82 1.3× 59 1.1× 90 438
Ziad Sankari United States 5 345 1.3× 89 0.9× 40 0.6× 55 0.9× 39 0.7× 7 485
Ruofan Wang China 16 483 1.9× 80 0.9× 66 0.9× 86 1.4× 66 1.2× 64 934
Arti Anuragi India 9 302 1.2× 98 1.0× 27 0.4× 43 0.7× 29 0.5× 13 393
Wenliang Che China 11 376 1.5× 139 1.5× 44 0.6× 66 1.0× 34 0.6× 14 584
Sebelan Danishvar United Kingdom 15 202 0.8× 57 0.6× 70 1.0× 77 1.2× 17 0.3× 49 517
Özlem Karabiber Cura Türkiye 9 201 0.8× 61 0.6× 54 0.8× 30 0.5× 24 0.4× 36 302
Junbiao Liu China 12 295 1.1× 47 0.5× 49 0.7× 62 1.0× 34 0.6× 24 410
Shovan Barma India 13 206 0.8× 70 0.7× 37 0.5× 28 0.4× 24 0.4× 48 407
Peyvand Ghaderyan Iran 12 192 0.7× 50 0.5× 42 0.6× 31 0.5× 25 0.5× 21 375

Countries citing papers authored by Maurizio Campolo

Since Specialization
Citations

This map shows the geographic impact of Maurizio Campolo'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 Maurizio Campolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Campolo more than expected).

Fields of papers citing papers by Maurizio Campolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurizio Campolo. 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 Maurizio Campolo. The network helps show where Maurizio Campolo may publish in the future.

Co-authorship network of co-authors of Maurizio Campolo

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Campolo. A scholar is included among the top collaborators of Maurizio Campolo 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 Maurizio Campolo. Maurizio Campolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Campolo, Maurizio, et al.. (2023). Shot Boundary Detection and Convolutional Neural Network for video Classification. 27. 1–5. 2 indexed citations
2.
Bruna, Arcangelo, et al.. (2023). An Embedded EOG-based Brain Computer Interface System for Robotic Control. 1–6. 2 indexed citations
3.
Mammone, Nadia, Cosimo Ieracitano, Maurizio Campolo, et al.. (2022). Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 9 indexed citations
4.
Ieracitano, Cosimo, et al.. (2021). A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers. IEEE/CAA Journal of Automatica Sinica. 8(1). 64–76. 68 indexed citations
5.
Gasparini, Sara, Maurizio Campolo, Cosimo Ieracitano, et al.. (2018). Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures. Entropy. 20(2). 43–43. 29 indexed citations
6.
Morabito, Francesco Carlo, Maurizio Campolo, Cosimo Ieracitano, et al.. (2016). Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings. 1–6. 115 indexed citations
7.
Morabito, Francesco Carlo, Maurizio Campolo, Nadia Mammone, et al.. (2016). Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. International Journal of Neural Systems. 27(2). 1650039–1650039. 94 indexed citations
8.
Mammone, Nadia, Lilla Bonanno, Simona De Salvo, et al.. (2016). Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease. 4692. 1241–1248. 1 indexed citations
9.
Mammone, Nadia, et al.. (2015). Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography. 1559. 1–6. 1 indexed citations
10.
Capecci, Elisa, Nadia Mammone, Nikola Kasabov, et al.. (2015). Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. 7477. 1–8. 2 indexed citations
11.
Morabito, Francesco Carlo, Maurizio Campolo, Domenico Labate, et al.. (2014). A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach. International Journal of Neural Systems. 25(2). 1550005–1550005. 88 indexed citations
12.
Campolo, Maurizio, Domenico Labate, Fabio La Foresta, et al.. (2011). ECG-derived respiratory signal using Empirical Mode Decomposition. 399–403. 39 indexed citations
13.
Morabito, Francesco Carlo & Maurizio Campolo. (2002). Ill-posed problems in electromagnetics: advantages of neuro-fuzzy approaches. 85–93. 2 indexed citations
14.
Pagani, Elena, et al.. (1998). Technological Benefits from the Use of Powdered Vitreous-China Scraps in Sanitaryware production. Institutional Research Information System (Università degli Studi di Trento). 2 indexed citations
15.
Morabito, Francesco Carlo & Maurizio Campolo. (1995). Location of plural defects in conductive plates via neural networks. IEEE Transactions on Magnetics. 31(3). 1765–1768. 11 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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