José M. Vega
- Statistical and Nonlinear Physics top 0.5%
- Model Reduction and Neural Networks 49
- Computational Mechanics top 0.5%
- Fluid Dynamics and Vibration Analysis 39
- Fluid Dynamics and Turbulent Flows 32
- Fluid Dynamics and Thin Films 24
- Computational Fluid Dynamics and Aerodynamics 11
- Fluid Dynamics and Heat Transfer 10
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- Probabilistic and Robust Engineering Design 14
- Computational Mathematics top 5%
- Numerical Analysis top 5%
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- Nonlinear Dynamics and Pattern Formation 40
- Co-authors
- Soledad Le ClaincheA. VelázquezCarlos MartelJosep NicolásFrancisco J. ManceboMaría-Luisa RapúnEdgar KnoblochFernando Varas
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsStatistics, Probability and Uncertainty
- Journals
- Physical Review Letters (1 paper)Journal of Fluid Mechanics (14 papers)Journal of Computational Physics (3 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
José M. Vega
149 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Statistical and Nonlinear Physics 1.0k
- Computational Mechanics 1.5k
- Statistics, Probability and Uncertainty 287
- Computational Mathematics 23
- Numerical Analysis 141
Countries citing papers authored by José M. Vega
This map shows the geographic impact of José M. Vega'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 José M. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. Vega more than expected).
Fields of papers citing papers by José M. Vega
This network shows the impact of papers produced by José M. Vega. 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 José M. Vega. The network helps show where José M. Vega may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José M. Vega, 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 | 2023 | 19 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 1 | |
| 7 | 2018 | 2 | |
| 8 | Higher Order Dynamic Mode Decompositionbreakdown → | 2017 | 257 |
| 9 | Spatio-temporal Koopman Decomposition in offshore wind turbines | 2017 | 1 |
| 10 | 2017 | 1 | |
| 11 | 2007 | 1 | |
| 12 | 2006 | 1 | |
| 13 | 2004 | 11 | |
| 14 | 2002 | 7 | |
| 15 | 2001 | 33 | |
| 16 | 1997 | 1 | |
| 17 | 1993 | 23 | |
| 18 | 1993 | 25 | |
| 19 | 1993 | 2 | |
| 20 | 1991 | 4 |
About José M. Vega
José M. Vega is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computational Mathematics, having authored 152 papers that have together received 2.7k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (49 papers), Nonlinear Dynamics and Pattern Formation (40 papers), Fluid Dynamics and Vibration Analysis (39 papers), Fluid Dynamics and Turbulent Flows (32 papers), Fluid Dynamics and Thin Films (24 papers), Probabilistic and Robust Engineering Design (14 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Fluid Dynamics and Heat Transfer (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computational Mechanics (1.5k citations) and Statistics, Probability and Uncertainty (287 citations). José M. Vega has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Soledad Le Clainche, A. Velázquez, Carlos Martel, Josep Nicolás, Francisco J. Mancebo, María-Luisa Rapún, Edgar Knobloch, Fernando Varas, Jesús Hernández and Diego Hayashi Alonso. Their work appears in journals such as Physical Review Letters, Journal of Fluid Mechanics 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.