Ugo Gianazza
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 2%
- Control and Systems Engineering top 10%
- Computational Mechanics
- Co-authors
- Emmanuele DiBenedettoVincenzo VespriVincenzo VesprıGiuseppe SavaréGiuseppe ToscaniVerena BögeleinFrank DuzaarGianni Gilardi
- Topics
- Advanced Mathematical Modeling in Engineering (39 papers)Nonlinear Partial Differential Equations (39 papers)Numerical methods in inverse problems (20 papers)
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Ugo Gianazza
49 papers receiving 756 citations
Peers
Comparison fields: 5 of 47
- Applied Mathematics 666
- Computational Theory and Mathematics 561
- Mathematical Physics 368
- Control and Systems Engineering 63
- Computational Mechanics 56
Countries citing papers authored by Ugo Gianazza
This map shows the geographic impact of Ugo Gianazza'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 Ugo Gianazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ugo Gianazza more than expected).
Fields of papers citing papers by Ugo Gianazza
This network shows the impact of papers produced by Ugo Gianazza. 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 Ugo Gianazza. The network helps show where Ugo Gianazza may publish in the future.
Co-authorship network of co-authors of Ugo Gianazza
This figure shows the co-authorship network connecting the top 25 collaborators of Ugo Gianazza. A scholar is included among the top collaborators of Ugo Gianazza 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 Ugo Gianazza. Ugo Gianazza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 28 | |
| 19 | Abstract evolution equations on variable domains : an approach by minimizing movements | 11 |
| 20 | Evolution Problems and Minimizing Movements | 4 |
About Ugo Gianazza
Ugo Gianazza is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 55 papers that have together received 816 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (39 papers), Nonlinear Partial Differential Equations (39 papers) and Numerical methods in inverse problems (20 papers). The work is most often cited by research in Applied Mathematics (666 citations), Mathematical Physics (368 citations) and Computational Theory and Mathematics (561 citations). Ugo Gianazza has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Emmanuele DiBenedetto, Vincenzo Vespri, Vincenzo Vesprı, Giuseppe Savaré, Giuseppe Toscani, Verena Bögelein, Frank Duzaar, Gianni Gilardi, Franco Brezzi and Piero Colli Franzone. Their work appears in journals such as IEEE Transactions on Power Electronics, Materials and Journal of Machine Learning Research.
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.