Javier Príncipe
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics 26
- Computational Fluid Dynamics and Aerodynamics 11
- Fluid Dynamics and Turbulent Flows 4
- Lattice Boltzmann Simulation Studies 3
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- Advanced Mathematical Modeling in Engineering 15
- Matrix Theory and Algorithms 4
- Numerical Analysis top 10%
- Mechanics of Materials top 5%
- Composite Material Mechanics 7
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- Metallurgical Processes and Thermodynamics 4
- Co-authors
- Ramón CodinaSantiago BadiaAlberto F. Martı́nOriol GuaschMatías ÁvilaGuillaume HouzeauxJoan BaigesMarcela B. Goldschmit
In The Last Decade
Javier Príncipe
37 papers receiving 840 citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 760
- Computational Theory and Mathematics 351
- Numerical Analysis 78
- Mechanics of Materials 198
- Statistical and Nonlinear Physics 69
Countries citing papers authored by Javier Príncipe
This map shows the geographic impact of Javier Príncipe'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 Javier Príncipe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Príncipe more than expected).
Fields of papers citing papers by Javier Príncipe
This network shows the impact of papers produced by Javier Príncipe. 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 Javier Príncipe. The network helps show where Javier Príncipe may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Javier Príncipe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 5 | |
| 5 | 2016 | 11 | |
| 6 | 2015 | 5 | |
| 7 | 2014 | 12 | |
| 8 | 2013 | 2 | |
| 9 | 2013 | 12 | |
| 10 | 2010 | 5 | |
| 11 | 2010 | 27 | |
| 12 | 2009 | 24 | |
| 13 | Mathematical Models for Thermally Coupled Low Speed Flows | 2009 | 16 |
| 14 | 2008 | 15 | |
| 15 | 2008 | 49 | |
| 16 | 2008 | 8 | |
| 17 | 2008 | 38 | |
| 18 | 2008 | 26 | |
| 19 | 2007 | 53 | |
| 20 | On the modelling of liquid steel processes | 2002 | 2 |
About Javier Príncipe
Javier Príncipe is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis, having authored 39 papers that have together received 885 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (26 papers), Advanced Mathematical Modeling in Engineering (15 papers), Computational Fluid Dynamics and Aerodynamics (11 papers), Composite Material Mechanics (7 papers), Fluid Dynamics and Turbulent Flows (4 papers), Metallurgical Processes and Thermodynamics (4 papers), Matrix Theory and Algorithms (4 papers) and Lattice Boltzmann Simulation Studies (3 papers). The work is most often cited by research in Computational Mechanics (760 citations), Computational Theory and Mathematics (351 citations) and Numerical Analysis (78 citations). Javier Príncipe has collaborated with scholars based in Spain, Australia and Italy. Frequent co-authors include Ramón Codina, Santiago Badia, Alberto F. Martı́n, Oriol Guasch, Matías Ávila, Guillaume Houzeaux, Joan Baiges, Marcela B. Goldschmit, José M. González‐Ondina and Gabriel Díaz‐Hernández. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Fluids, International Journal of Numerical Methods for Heat & Fluid Flow, International Journal for Numerical Methods in Engineering and Journal of Computational Physics.
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.