A.T. Patera
- Statistical and Nonlinear Physics top 1%
- Computational Mechanics top 2%
- Statistics, Probability and Uncertainty top 0.5%
- Numerical Analysis top 5%
- Mechanics of Materials top 10%
- Topics
- Advanced Numerical Methods in Computational Mathematics (3 papers)Numerical methods for differential equations (3 papers)Model Reduction and Neural Networks (2 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringArchives of Computational Methods in EngineeringComputing and Visualization in Science
- Partner nations
- United StatesSingaporeFrance
In The Last Decade
A.T. Patera
5 papers receiving 778 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Statistical and Nonlinear Physics 645
- Computational Mechanics 383
- Statistics, Probability and Uncertainty 348
- Numerical Analysis 143
- Mechanics of Materials 125
Countries citing papers authored by A.T. Patera
This map shows the geographic impact of A.T. Patera'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 A.T. Patera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.T. Patera more than expected).
Fields of papers citing papers by A.T. Patera
This network shows the impact of papers produced by A.T. Patera. 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 A.T. Patera. The network helps show where A.T. Patera may publish in the future.
Co-authorship network of co-authors of A.T. Patera
This figure shows the co-authorship network connecting the top 25 collaborators of A.T. Patera. A scholar is included among the top collaborators of A.T. Patera 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 A.T. Patera. A.T. Patera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | Reduced Basis Approximation and a Posteriori Error Estimation for Affinely Parametrized Elliptic Coercive Partial Differential Equationsbreakdown → | 736 |
| 3 | 11 | |
| 4 | 35 | |
| 5 | Reduced-Basis Output-Bound Methods for Elliptic Partial Differential Equations | 4 |
About A.T. Patera
A.T. Patera is a scholar working on Numerical Analysis, Computational Mechanics and Statistical and Nonlinear Physics, having authored 5 papers that have together received 829 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (3 papers), Numerical methods for differential equations (3 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (645 citations), Statistics, Probability and Uncertainty (348 citations) and Numerical Analysis (143 citations). A.T. Patera has collaborated with scholars based in United States, Singapore and France. Frequent co-authors include Gianluigi Rozza, D.B.P. Huynh, Yvon Maday, Masayuki Yano, Olga Mula, Zhi Yang, Gang Liu, K.Y. Lam, Christophe Prud'Homme and L. Machiels. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Archives of Computational Methods in Engineering and Computing and Visualization in Science.
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.