Andrea Schirru
- Industrial and Manufacturing Engineering top 1%
- Control and Systems Engineering top 5%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Co-authors
- Simone PampuriGian Antonio SustoAlessandro BeghiSeán McLooneGiuseppe De NicolaoCristina De LucaGiuseppe FazioE. Costamagna
- Topics
- Advanced Statistical Process Monitoring (11 papers)Industrial Vision Systems and Defect Detection (11 papers)Fault Detection and Control Systems (8 papers)
- Cited by
- Medical Laboratory TechnologyIndustrial and Manufacturing EngineeringStatistics, Probability and Uncertainty
In The Last Decade
Andrea Schirru
24 papers receiving 891 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Industrial and Manufacturing Engineering 408
- Control and Systems Engineering 377
- Statistics, Probability and Uncertainty 167
- Artificial Intelligence 146
- Mechanical Engineering 133
Countries citing papers authored by Andrea Schirru
This map shows the geographic impact of Andrea Schirru'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 Andrea Schirru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Schirru more than expected).
Fields of papers citing papers by Andrea Schirru
This network shows the impact of papers produced by Andrea Schirru. 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 Andrea Schirru. The network helps show where Andrea Schirru may publish in the future.
Co-authorship network of co-authors of Andrea Schirru
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Schirru. A scholar is included among the top collaborators of Andrea Schirru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Schirru. Andrea Schirru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Flame Kernel Growth and Related Effects of Spark Plug Electrodes: Fluid Motion Interaction in an Optically Accessible DISI Engine | 1 |
| 2 | 35 | |
| 3 | 5 | |
| 4 | 56 | |
| 5 | 3 | |
| 6 | Machine Learning for Predictive Maintenance: A Multiple Classifier Approachbreakdown → | 530 |
| 7 | 59 | |
| 8 | 21 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 17 | |
| 12 | 18 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 24 | |
| 18 | 12 | |
| 19 | 22 | |
| 20 | 5 |
About Andrea Schirru
Andrea Schirru is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Media Technology, having authored 24 papers that have together received 926 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Industrial Vision Systems and Defect Detection (11 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Medical Laboratory Technology (77 citations), Industrial and Manufacturing Engineering (408 citations) and Statistics, Probability and Uncertainty (167 citations). Andrea Schirru has collaborated with scholars based in Italy, Ireland and Austria. Frequent co-authors include Simone Pampuri, Gian Antonio Susto, Alessandro Beghi, Seán McLoone, Giuseppe De Nicolao, Cristina De Luca, Giuseppe Fazio, E. Costamagna, Daniel Kurz and Jürgen Pilz. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Computers & Operations Research and Control Engineering Practice.
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.