Marco Tezzele
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Statistics, Probability and Uncertainty top 5%
- Civil and Structural Engineering
- Aerospace Engineering
- Co-authors
- Gianluigi RozzaNicola DemoAndrea MolaStefano MarianiKaren WillcoxAndrea ManzoniGiovanni StabileFrancesco Ballarin
- Topics
- Model Reduction and Neural Networks (16 papers)Probabilistic and Robust Engineering Design (8 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mechanics
- Journals
- Computer Methods in Applied Mechanics and EngineeringInternational Journal for Numerical Methods in EngineeringSIAM Journal on Scientific Computing
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marco Tezzele
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 166
- Computational Mechanics 97
- Statistics, Probability and Uncertainty 77
- Civil and Structural Engineering 60
- Aerospace Engineering 54
Countries citing papers authored by Marco Tezzele
This map shows the geographic impact of Marco Tezzele'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 Marco Tezzele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Tezzele more than expected).
Fields of papers citing papers by Marco Tezzele
This network shows the impact of papers produced by Marco Tezzele. 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 Marco Tezzele. The network helps show where Marco Tezzele may publish in the future.
Co-authorship network of co-authors of Marco Tezzele
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Tezzele. A scholar is included among the top collaborators of Marco Tezzele 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 Marco Tezzele. Marco Tezzele 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 | 1 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 81 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 22 | |
| 13 | 21 | |
| 14 | 19 | |
| 15 | 30 | |
| 16 | 2 | |
| 17 | A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems | 4 |
| 18 | 27 | |
| 19 | 71 | |
| 20 | 17 |
About Marco Tezzele
Marco Tezzele is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 20 papers that have together received 353 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (16 papers), Probabilistic and Robust Engineering Design (8 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (166 citations), Statistics, Probability and Uncertainty (77 citations) and Computational Mechanics (97 citations). Marco Tezzele has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gianluigi Rozza, Nicola Demo, Andrea Mola, Stefano Mariani, Karen Willcox, Andrea Manzoni, Giovanni Stabile, Francesco Ballarin, Dimitri Breda and Peter Benner. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and SIAM Journal on Scientific Computing.
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.