Enrico Savio
- Mechanical Engineering top 1%
- Biomedical Engineering top 5%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Industrial and Manufacturing Engineering top 1%
- Co-authors
- Leonardo De ChiffreSimone CarmignatoFrancesco MarinelloRobert SchmittRichard LeachHan HaitjemaMarco SorgatoJean‐Marc Linares
- Topics
- Advanced Measurement and Metrology Techniques (38 papers)Advanced machining processes and optimization (19 papers)Manufacturing Process and Optimization (17 papers)
- Journals
- PLoS ONEWearCIRP Annals
- Partner nations
- ItalyDenmarkUnited Kingdom
In The Last Decade
Enrico Savio
88 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Mechanical Engineering 1.4k
- Biomedical Engineering 733
- Computational Mechanics 483
- Computer Vision and Pattern Recognition 427
- Industrial and Manufacturing Engineering 323
Countries citing papers authored by Enrico Savio
This map shows the geographic impact of Enrico Savio'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 Enrico Savio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Savio more than expected).
Fields of papers citing papers by Enrico Savio
This network shows the impact of papers produced by Enrico Savio. 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 Enrico Savio. The network helps show where Enrico Savio may publish in the future.
Co-authorship network of co-authors of Enrico Savio
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Savio. A scholar is included among the top collaborators of Enrico Savio 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 Enrico Savio. Enrico Savio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | Geometrical metrology and machine testing | 2 |
| 17 | On-machine coordinate measurements in micro EDM milling | 0 |
| 18 | 39 | |
| 19 | 21 | |
| 20 | 16 |
About Enrico Savio
Enrico Savio is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (38 papers), Advanced machining processes and optimization (19 papers) and Manufacturing Process and Optimization (17 papers). The work is most often cited by research in Mechanical Engineering (1.4k citations), Industrial and Manufacturing Engineering (323 citations) and Computational Mechanics (483 citations). Enrico Savio has collaborated with scholars based in Italy, Denmark and United Kingdom. Frequent co-authors include Leonardo De Chiffre, Simone Carmignato, Francesco Marinello, Robert Schmitt, Richard Leach, Han Haitjema, Marco Sorgato, Jean‐Marc Linares, Wei Gao and Fengzhou Fang. Their work appears in journals such as PLoS ONE, Wear and CIRP Annals.
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.