Matteo Corbetta

47 papers receiving 884 citations

Peers

Matteo Corbetta
Comparison fields: 5 of 65
  • Automotive Engineering 353
  • Safety, Risk, Reliability and Quality 126
  • Control and Systems Engineering 294
  • Civil and Structural Engineering 255
  • Statistics, Probability and Uncertainty 66
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Citations per year

Countries citing papers authored by Matteo Corbetta

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Corbetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Corbetta, 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 Corbetta Line = papers co-authored together Matteo Corbetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 2021143
3 201445
4 201745
5 201745
6 201935
7 201535
8 201331
9 202329
10 201926
11 201723
12 202321
13 201919
14 202018
15 202315
16 202014
17 201413
18
Architecture and Information Requirements to Assess and Predict Flight Safety Risks During Highly Autonomous Urban Flight Operations
202013
19 201711
20 201910

About Matteo Corbetta

Matteo Corbetta is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Automotive Engineering, Mechanical Engineering and Aerospace Engineering, having authored 52 papers that have together received 905 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (21 papers), Structural Health Monitoring Techniques (19 papers), Advanced Battery Technologies Research (11 papers), Non-Destructive Testing Techniques (9 papers), Machine Fault Diagnosis Techniques (8 papers), Autonomous Vehicle Technology and Safety (6 papers), Air Traffic Management and Optimization (6 papers) and Aerospace and Aviation Technology (6 papers). The work is most often cited by research in Automotive Engineering (353 citations), Safety, Risk, Reliability and Quality (126 citations), Control and Systems Engineering (294 citations), Civil and Structural Engineering (255 citations) and Statistics, Probability and Uncertainty (66 citations). Matteo Corbetta has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Marco Giglio, Claudio Sbarufatti, Chetan S. Kulkarni, Francesco Cadini, Renato G. Nascimento, Felipe Viana, Andrea Manes, Kai Goebel, Abhinav Saxena and Michael D. Todd. Their work appears in journals such as Composite Structures, Journal of Power Sources, Structural Control and Health Monitoring, Mechanical Systems and Signal Processing and International Journal of Fatigue.

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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