Patrick Guidotti
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Mathematical Physics top 10%
- Modeling and Simulation top 5%
- Co-authors
- James V. LambersSandro MerinoYunho KimJohn A. PeleskoKnut SølnaJoachim EscherRenato PajarolaMiguel Saínz
- Topics
- Advanced Mathematical Modeling in Engineering (18 papers)Numerical methods in inverse problems (10 papers)Stability and Controllability of Differential Equations (8 papers)
- Journals
- Journal of Computational PhysicsJournal of Polymer Science Part B Polymer PhysicsSIAM Journal on Scientific Computing
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Patrick Guidotti
33 papers receiving 306 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 145
- Computational Theory and Mathematics 105
- Applied Mathematics 92
- Mathematical Physics 88
- Modeling and Simulation 63
Countries citing papers authored by Patrick Guidotti
This map shows the geographic impact of Patrick Guidotti'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 Patrick Guidotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Guidotti more than expected).
Fields of papers citing papers by Patrick Guidotti
This network shows the impact of papers produced by Patrick Guidotti. 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 Patrick Guidotti. The network helps show where Patrick Guidotti may publish in the future.
Co-authorship network of co-authors of Patrick Guidotti
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Guidotti. A scholar is included among the top collaborators of Patrick Guidotti 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 Patrick Guidotti. Patrick Guidotti 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 | 4 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | Parabolic problems : the Herbert Amann festschrift | 8 |
| 7 | 22 | |
| 8 | 35 | |
| 9 | 34 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | Modeling and Analysis of Hysteresis Phenomena in Electrostatic Zipper Actuators | 8 |
| 18 | 39 | |
| 19 | 8 | |
| 20 | 13 |
About Patrick Guidotti
Patrick Guidotti is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Modeling and Simulation, having authored 35 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (18 papers), Numerical methods in inverse problems (10 papers) and Stability and Controllability of Differential Equations (8 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Mathematical Physics (88 citations) and Applied Mathematics (92 citations). Patrick Guidotti has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include James V. Lambers, Sandro Merino, Yunho Kim, John A. Pelesko, Knut Sølna, Joachim Escher, Renato Pajarola, Miguel Saínz, Donald S. Mowlds and Jan Prüß. Their work appears in journals such as Journal of Computational Physics, Journal of Polymer Science Part B Polymer Physics 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.