Luca Biggio
Impact in
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
Papers in
-
- Machine Fault Diagnosis Techniques 2
- Fault Detection and Control Systems 2
- Co-authors
- Olga Fink (4 shared papers)Venkat Pavan Nemani (1 shared paper)Yan Wang (1 shared paper)Chao Hu (1 shared paper)Zhen Hu (1 shared paper)Xiaoge Zhang (1 shared paper)Xun Huan (1 shared paper)Anh Tran (1 shared paper)
- Journals
- Applied Energy (1 paper)IEEE Access (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Astronomy and Astrophysics (1 paper)Mechanical Systems and Signal Processing (1 paper)
- Partner nations
- SwitzerlandUnited StatesTaiwan
In The Last Decade
Luca Biggio
8 papers receiving 213 citations
Luca Biggio's Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 103
- Medical Laboratory Technology 6
- Statistics, Probability and Uncertainty 21
- Safety, Risk, Reliability and Quality 26
- Automotive Engineering 31
Countries citing papers authored by Luca Biggio
This map shows the geographic impact of Luca Biggio'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 Luca Biggio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Biggio more than expected).
Fields of papers citing papers by Luca Biggio
This network shows the impact of papers produced by Luca Biggio. 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 Luca Biggio. The network helps show where Luca Biggio may publish in the future.
Co-authors
The 20 scholars most cited alongside Luca Biggio, 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 | Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial Hit paper breakdown → | 2023 | 103 |
| 2 | 2020 | 53 | |
| 3 | 2021 | 30 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 3 |
About Luca Biggio
Luca Biggio is a scholar working on Control and Systems Engineering, Artificial Intelligence, Instrumentation, Computational Mechanics and Automotive Engineering, having authored 8 papers that have together received 222 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (2 papers), Fault Detection and Control Systems (2 papers), Astronomical Observations and Instrumentation (2 papers), Astronomy and Astrophysical Research (2 papers), Time Series Analysis and Forecasting (1 paper), Advanced Battery Materials and Technologies (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Control and Systems Engineering (103 citations), Medical Laboratory Technology (6 citations), Statistics, Probability and Uncertainty (21 citations), Safety, Risk, Reliability and Quality (26 citations) and Automotive Engineering (31 citations). Luca Biggio has collaborated with scholars based in Switzerland, United States and Taiwan. Frequent co-authors include Olga Fink, Venkat Pavan Nemani, Yan Wang, Chao Hu, Zhen Hu, Xiaoge Zhang, Xun Huan, Anh Tran, Manuel Arias Chao and Chetan S. Kulkarni. Their work appears in journals such as Applied Energy, IEEE Access, Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Mechanical Systems and Signal Processing.
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.