Mario Versaci

2.5k total citations
133 papers, 1.7k citations indexed

About

Mario Versaci is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Mario Versaci has authored 133 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 27 papers in Mechanical Engineering and 26 papers in Mechanics of Materials. Recurrent topics in Mario Versaci's work include Non-Destructive Testing Techniques (25 papers), Ultrasonics and Acoustic Wave Propagation (21 papers) and Neural Networks and Applications (18 papers). Mario Versaci is often cited by papers focused on Non-Destructive Testing Techniques (25 papers), Ultrasonics and Acoustic Wave Propagation (21 papers) and Neural Networks and Applications (18 papers). Mario Versaci collaborates with scholars based in Italy, United States and Germany. Mario Versaci's co-authors include Francesco Carlo Morabito, Giovanni Angiulli, Matteo Cacciola, Salvatore Calcagno, Paolo Di Barba, Fabio La Foresta, Filippo Laganà, Maria Nadia Postorino, Nadia Mammone and Alessandra Jannelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Mario Versaci

124 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Versaci Italy 24 404 270 259 226 194 133 1.7k
Ping He China 26 339 0.8× 201 0.7× 464 1.8× 200 0.9× 193 1.0× 226 2.5k
Jérôme Gilles United States 18 437 1.1× 538 2.0× 208 0.8× 325 1.4× 155 0.8× 36 2.5k
Hassan Salarieh Iran 30 272 0.7× 425 1.6× 262 1.0× 222 1.0× 63 0.3× 210 2.9k
Mahdi Aliyari Shoorehdeli Iran 26 507 1.3× 355 1.3× 775 3.0× 107 0.5× 145 0.7× 207 2.6k
Yi Zheng United States 23 274 0.7× 245 0.9× 175 0.7× 154 0.7× 58 0.3× 126 1.9k
Marvin H. J. Gruber United States 8 506 1.3× 121 0.4× 293 1.1× 83 0.4× 189 1.0× 15 2.1k
Peiming Shi China 29 309 0.8× 586 2.2× 295 1.1× 396 1.8× 184 0.9× 133 2.4k
Abdullah Al Mamun Singapore 24 267 0.7× 361 1.3× 451 1.7× 70 0.3× 107 0.6× 156 2.1k
Aria Alasty Iran 30 449 1.1× 295 1.1× 235 0.9× 189 0.8× 52 0.3× 231 3.0k

Countries citing papers authored by Mario Versaci

Since Specialization
Citations

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

Fields of papers citing papers by Mario Versaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Versaci

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Versaci. A scholar is included among the top collaborators of Mario Versaci 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 Mario Versaci. Mario Versaci 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
1.
Versaci, Mario, et al.. (2025). Soft computing and eddy currents to estimate and classify delaminations in biomedical device CFRP plates. Journal of Electrical Engineering. 76(1). 72–79. 19 indexed citations
2.
Bonaccorsi, Lucio, R. Carbone, Fabio La Foresta, et al.. (2025). Operational Analysis of a Pilot-Scale Plant for Hydrogen Production via an Electrolyser Powered by a Photovoltaic System. Energies. 18(15). 3949–3949.
3.
Angiulli, Giovanni, Mario Versaci, Pietro Burrascano, & Filippo Laganà. (2025). A Data-Driven Gaussian Process Regression Model for Concrete Complex Dielectric Permittivity Characterization. Sensors. 25(20). 6350–6350. 1 indexed citations
4.
5.
Angiulli, Giovanni, Salvatore Calcagno, Fabio La Foresta, & Mario Versaci. (2024). Concrete Compressive Strength Prediction Using Combined Non-Destructive Methods: A Calibration Procedure Using Preexisting Conversion Models Based on Gaussian Process Regression. Journal of Composites Science. 8(8). 300–300. 9 indexed citations
6.
Burrascano, Pietro, Andrea Di Schino, & Mario Versaci. (2024). Efficient Estimation of Synthetic Indicators for the Assessment of Nonlinear Systems Quality. Applied Sciences. 14(20). 9259–9259. 3 indexed citations
7.
Angiulli, Giovanni, Mario Versaci, Salvatore Calcagno, & Paolo Di Barba. (2024). Analytic Continuation, Phase Unwrapping, and Retrieval of the Refractive Index of Metamaterials from S-Parameters. Sensors. 24(3). 912–912. 1 indexed citations
8.
Versaci, Mario & Fabio La Foresta. (2024). Fuzzy Approach for Managing Renewable Energy Flows for DC-Microgrid with Composite PV-WT Generators and Energy Storage System. Energies. 17(2). 402–402. 14 indexed citations
9.
Laganà, Filippo, Salvatore A. Pullano, Giovanni Angiulli, & Mario Versaci. (2024). Optimized Analytical–Numerical Procedure for Ultrasonic Sludge Treatment for Agricultural Use. Algorithms. 17(12). 592–592. 8 indexed citations
10.
11.
Versaci, Mario, et al.. (2024). Intuitionistic fuzzy divergence for evaluating the mechanical stress state of steel plates subject to bi-axial loads. Integrated Computer-Aided Engineering. 31(4). 363–379. 31 indexed citations
12.
Versaci, Mario, et al.. (2023). An Inhomogeneous Model for Laser Welding of Industrial Interest. Mathematics. 11(15). 3357–3357. 11 indexed citations
13.
Ieracitano, Cosimo, Nadia Mammone, Mario Versaci, et al.. (2022). A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing. 481. 202–215. 102 indexed citations
14.
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
15.
Laganà, Filippo, Matteo Cacciola, Salvatore Calcagno, et al.. (2009). Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments. 323–331. 3 indexed citations
16.
Cacciola, Matteo, et al.. (2008). Multi Class Support Vector Machines for Disruption Classification in Tokamak Reactors. 1 indexed citations
17.
Barrile, Vincenzo, Matteo Cacciola, & Mario Versaci. (2006). A minimal fuzzy entropy model for pattern recognition: evaluation in a SAR imagery application. International Conference on Artificial Intelligence. 275–279. 3 indexed citations
18.
Morabito, Francesco Carlo & Mario Versaci. (2004). Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach.. The European Symposium on Artificial Neural Networks. 103–108. 1 indexed citations
19.
Calcagno, Salvatore, et al.. (2003). Defects Reconstruction on Reinforced Concrete Specimens.. Modeling Identification and Control A Norwegian Research Bulletin. 448–452. 1 indexed citations
20.
Morabito, Francesco Carlo & Mario Versaci. (2003). Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data. Neural Networks. 16(3-4). 493–506. 36 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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