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
- Robotic Mechanisms and Dynamics 1
- Co-authors
- Olga Fink (4 shared papers)Xiaoge Zhang (1 shared paper)Xun Huan (1 shared paper)Zhen Hu (1 shared paper)Venkat Pavan Nemani (1 shared paper)Chao Hu (1 shared paper)Anh Tran (1 shared paper)Yan Wang (1 shared paper)
- Journals
- Monthly Notices of the Royal Astronomical Society (1 paper)Astronomy and Astrophysics (1 paper)IEEE Access (1 paper)Applied Energy (1 paper)Mechanical Systems and Signal Processing (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Luca Biggio
8 papers receiving 241 citations
Luca Biggio's Hit Papers
Peers
Comparison fields: 5 of 72
- Control and Systems Engineering 110
- Medical Laboratory Technology 6
- Statistics, Probability and Uncertainty 22
- Safety, Risk, Reliability and Quality 27
- Automotive Engineering 35
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 21 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 | 119 |
| 2 | 2020 | 56 | |
| 3 | 2021 | 31 | |
| 4 | 2023 | 23 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 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 245 indexed citations. Recurring topics across this work include Astronomical Observations and Instrumentation (2 papers), Machine Fault Diagnosis Techniques (2 papers), Fault Detection and Control Systems (2 papers), Astronomy and Astrophysical Research (2 papers), Advanced Battery Materials and Technologies (1 paper), Advanced Battery Technologies Research (1 paper), Robotic Mechanisms and Dynamics (1 paper) and Cultural Heritage Materials Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (110 citations), Medical Laboratory Technology (6 citations), Statistics, Probability and Uncertainty (22 citations), Safety, Risk, Reliability and Quality (27 citations) and Automotive Engineering (35 citations). Luca Biggio has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Olga Fink, Xiaoge Zhang, Xun Huan, Zhen Hu, Venkat Pavan Nemani, Chao Hu, Anh Tran, Yan Wang, Manuel Arias Chao and Chetan S. Kulkarni. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, IEEE Access, Applied Energy 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.