Carlo de Falco
- Computational Mechanics top 2%
- Electrical and Electronic Engineering
- Mechanics of Materials top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Co-authors
- Alessandro RealiRafael VázquezGiancarlo SangalliAnnalisa BuffaRiccardo SaccoE. GattiAndrea L. LacaitaFrancesco Maddalena
- Topics
- Advanced Numerical Methods in Computational Mathematics (12 papers)Electromagnetic Simulation and Numerical Methods (10 papers)High voltage insulation and dielectric phenomena (8 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Carlo de Falco
52 papers receiving 828 citations
Peers
Comparison fields: 5 of 80
- Computational Mechanics 370
- Electrical and Electronic Engineering 290
- Mechanics of Materials 168
- Materials Chemistry 121
- Computational Theory and Mathematics 111
Countries citing papers authored by Carlo de Falco
This map shows the geographic impact of Carlo de Falco'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 Carlo de Falco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo de Falco more than expected).
Fields of papers citing papers by Carlo de Falco
This network shows the impact of papers produced by Carlo de Falco. 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 Carlo de Falco. The network helps show where Carlo de Falco may publish in the future.
Co-authorship network of co-authors of Carlo de Falco
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo de Falco. A scholar is included among the top collaborators of Carlo de Falco 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 Carlo de Falco. Carlo de Falco 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 18 | |
| 18 | High Order Isogeometric Simulation of Lorentz Detuning in Superconducting Accelerator Cavities | 1 |
| 19 | 9 | |
| 20 | 2 |
About Carlo de Falco
Carlo de Falco is a scholar working on Computational Mechanics, Management, Monitoring, Policy and Law and Electrical and Electronic Engineering, having authored 57 papers that have together received 866 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (12 papers), Electromagnetic Simulation and Numerical Methods (10 papers) and High voltage insulation and dielectric phenomena (8 papers). The work is most often cited by research in Computational Mechanics (370 citations), Computer Graphics and Computer-Aided Design (51 citations) and Numerical Analysis (68 citations). Carlo de Falco has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessandro Reali, Rafael Vázquez, Giancarlo Sangalli, Annalisa Buffa, Riccardo Sacco, E. Gatti, Andrea L. Lacaita, Francesco Maddalena, Dario Natali and Mario Caironi. Their work appears in journals such as Applied Physics Letters, Advanced Functional Materials and Scientific Reports.
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.