S. Capelli
Impact in
- Ecological Modeling top 10%
- Erosion and Abrasive Machining
- Aerospace Engineering top 5%
- High-Temperature Coating Behaviors
Papers in
-
- Nuclear Materials and Properties 3
-
- High-Temperature Coating Behaviors 6
- Co-authors
- F. Cernuschi (6 shared papers)P. Bison (4 shared papers)L. Lorenzoni (3 shared papers)Alessandro Moscatelli (3 shared papers)Robert Vaßen (2 shared papers)C. Giolli (2 shared papers)Daniel Emil Mack (2 shared papers)M. Karger (1 shared paper)
- Journals
- Wear (2 papers)Acta Materialia (2 papers)Scientific Reports (1 paper)Transfusion (1 paper)Machine Learning Science and Technology (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
S. Capelli
18 papers receiving 436 citations
Peers
Comparison fields: 5 of 86
- Ecological Modeling 63
- Aerospace Engineering 221
- Ceramics and Composites 32
- Urology 33
- Ocean Engineering 59
Countries citing papers authored by S. Capelli
This map shows the geographic impact of S. Capelli'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 S. Capelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Capelli more than expected).
Fields of papers citing papers by S. Capelli
This network shows the impact of papers produced by S. Capelli. 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 S. Capelli. The network helps show where S. Capelli may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Capelli, 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 | 2011 | 93 | |
| 2 | 2015 | 53 | |
| 3 | 2000 | 48 | |
| 4 | 2012 | 46 | |
| 5 | 2018 | 40 | |
| 6 | 2010 | 38 | |
| 7 | 2018 | 27 | |
| 8 | 2019 | 20 | |
| 9 | 2011 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 14 | |
| 12 | 2018 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 1995 | 8 | |
| 15 | 2019 | 5 | |
| 16 | 2015 | 3 | |
| 17 | Preliminary histoenzymatic muscular evaluations after ischemia-reperfusion damage. | 1996 | 1 |
| 18 | 2017 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About S. Capelli
S. Capelli is a scholar working on Materials Chemistry, Aerospace Engineering, Rehabilitation, Ocean Engineering and Radiation, having authored 20 papers that have together received 458 indexed citations. Recurring topics across this work include High-Temperature Coating Behaviors (6 papers), Radiation Detection and Scintillator Technologies (3 papers), Particle Dynamics in Fluid Flows (3 papers), Nuclear Materials and Properties (3 papers), Dark Matter and Cosmic Phenomena (2 papers), Particle Detector Development and Performance (2 papers), Advanced materials and composites (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Ecological Modeling (63 citations), Aerospace Engineering (221 citations), Ceramics and Composites (32 citations), Urology (33 citations) and Ocean Engineering (59 citations). S. Capelli has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include F. Cernuschi, P. Bison, L. Lorenzoni, Alessandro Moscatelli, Robert Vaßen, C. Giolli, Daniel Emil Mack, M. Karger, Konstantin von Niessen and Nicolaie Markocsan. Their work appears in journals such as Wear, Acta Materialia, Scientific Reports, Transfusion and Machine Learning Science and Technology.
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.