Dario Piga
- Control and Systems Engineering top 0.5%
- Control Systems and Identification 69
- Fault Detection and Control Systems 57
- Advanced Control Systems Optimization 34
- Robot Manipulation and Learning 25
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- Probabilistic and Robust Engineering Design 12
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- Structural Health Monitoring Techniques 14
- Ocean Engineering top 5%
- Building and Construction top 5%
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- Neural Networks and Applications 10
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- Smart Grid Energy Management 9
- Co-authors
- Alberto BemporadLoris RovedaV. CeroneD. RegrutoAndrea Emilio RizzoliMatteo GiulianiAndrea CominolaAndrea Castelletti
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyCivil and Structural Engineering
- Partner nations
- SwitzerlandItalyNetherlands
In The Last Decade
Dario Piga
144 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 130
- Control and Systems Engineering 1.3k
- Statistics, Probability and Uncertainty 124
- Civil and Structural Engineering 324
- Ocean Engineering 178
- Building and Construction 146
Countries citing papers authored by Dario Piga
This map shows the geographic impact of Dario Piga'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 Dario Piga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Piga more than expected).
Fields of papers citing papers by Dario Piga
This network shows the impact of papers produced by Dario Piga. 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 Dario Piga. The network helps show where Dario Piga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dario Piga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 43 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 23 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 38 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 33 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 27 | |
| 18 | 2020 | 59 | |
| 19 | 2020 | 23 | |
| 20 | 2018 | 38 |
About Dario Piga
Dario Piga is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 154 papers that have together received 2.3k indexed citations. Recurring topics across this work include Control Systems and Identification (69 papers), Fault Detection and Control Systems (57 papers), Advanced Control Systems Optimization (34 papers), Robot Manipulation and Learning (25 papers), Structural Health Monitoring Techniques (14 papers), Probabilistic and Robust Engineering Design (12 papers), Neural Networks and Applications (10 papers) and Smart Grid Energy Management (9 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Statistics, Probability and Uncertainty (124 citations) and Civil and Structural Engineering (324 citations). Dario Piga has collaborated with scholars based in Switzerland, Italy and Netherlands. Frequent co-authors include Alberto Bemporad, Loris Roveda, V. Cerone, D. Regruto, Andrea Emilio Rizzoli, Matteo Giuliani, Andrea Cominola, Andrea Castelletti, Roland Tóth and Marco Forgione.
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.