Matteo Cacciola

801 citations
64 papers · 550 indexed · h-index 13

Impact in

Papers in

Matteo Cacciola

62 papers receiving 526 citations

Peers

Matteo Cacciola
Comparison fields: 5 of 90
  • Mechanics of Materials 114
  • Mechanical Engineering 130
  • Civil and Structural Engineering 69
  • Biomaterials 41
  • Ocean Engineering 48
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Cacciola

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Cacciola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Cacciola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matteo Cacciola Line = papers co-authored together Matteo Cacciola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20241
3 20233
4 202016
5 20162
6 201511
7 20131
8 20131
9 201112
10 20102
11
Evaluating Soft Computing Techniques for Path Loss Estimation in Urban Environments
20093
12
Multi Class Support Vector Machines for Disruption Classification in Tokamak Reactors
20081
13 20085
14 200826
15 200720
16 200726
17
A minimal fuzzy entropy model for pattern recognition: evaluation in a SAR imagery application
20063
18
Ultrasonic Pulse-Echoes and Eddy Current Testing for Detection, Recognition and Characterisation of Flaws Detected in Metallic Plates
20066
19
Support vector machines and eddy-current tests for flaws characterisation in thin metallic plates
20051
20 200522

About Matteo Cacciola

Matteo Cacciola is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Media Technology and Ocean Engineering, having authored 64 papers that have together received 550 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (21 papers), Ultrasonics and Acoustic Wave Propagation (14 papers), Characterization and Applications of Magnetic Nanoparticles (11 papers), Welding Techniques and Residual Stresses (9 papers), Structural Health Monitoring Techniques (6 papers), Magnetic properties of thin films (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Geophysical Methods and Applications (4 papers). The work is most often cited by research in Mechanics of Materials (114 citations), Mechanical Engineering (130 citations), Civil and Structural Engineering (69 citations), Biomaterials (41 citations) and Ocean Engineering (48 citations). Matteo Cacciola has collaborated with scholars based in Italy, Romania and United States. Frequent co-authors include Mario Versaci, Francesco Carlo Morabito, Giovanni Angiulli, Salvatore Calcagno, Giuseppe Megali, Vincenzo Barrile, Giuseppe Ciccarella, Francesca Baldassarre, Fabio La Foresta and T. Jayakumar. Their work appears in journals such as IEEE Transactions on Magnetics, NDT & E International, Beilstein Journal of Nanotechnology, Journal of Electromagnetic Waves and Applications and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

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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