Pedro Marín-Rubio
- Applied Mathematics top 0.5%
- Navier-Stokes equation solutions 18
- Nonlinear Differential Equations Analysis 12
- Nonlinear Partial Differential Equations 5
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- Stability and Controllability of Differential Equations 60
- Computational Theory and Mathematics top 0.5%
- Advanced Mathematical Modeling in Engineering 36
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems 13
- Modeling and Simulation top 5%
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- Nonlinear Dynamics and Pattern Formation 11
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- Numerical methods for differential equations 5
- Co-authors
- José RealTomás CaraballoPeter E. KloedenJosé ValeroJames C. RobinsonMarı́a J. Garrido-AtienzaGabriela PlanasAlexandre N. Carvalho
In The Last Decade
Pedro Marín-Rubio
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 54
- Applied Mathematics 719
- Control and Systems Engineering 1.2k
- Computational Theory and Mathematics 776
- Mathematical Physics 396
- Modeling and Simulation 73
Countries citing papers authored by Pedro Marín-Rubio
This map shows the geographic impact of Pedro Marín-Rubio'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 Pedro Marín-Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Marín-Rubio more than expected).
Fields of papers citing papers by Pedro Marín-Rubio
This network shows the impact of papers produced by Pedro Marín-Rubio. 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 Pedro Marín-Rubio. The network helps show where Pedro Marín-Rubio may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Pedro Marín-Rubio, 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 | 0 | |
| 2 | 2018 | 17 | |
| 3 | 2017 | 18 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 5 | |
| 6 | 2016 | 22 | |
| 7 | 2014 | 21 | |
| 8 | Gradient-like nonlinear semigroups with infinitely many equilibria and applications to cascade systems | 2013 | 3 |
| 9 | 2013 | 48 | |
| 10 | 2012 | 8 | |
| 11 | 2012 | 67 | |
| 12 | 2012 | 54 | |
| 13 | 2011 | 11 | |
| 14 | 2011 | 23 | |
| 15 | 2011 | 12 | |
| 16 | 2009 | 11 | |
| 17 | 2007 | 45 | |
| 18 | 2007 | 41 | |
| 19 | 2003 | 84 | |
| 20 | 2003 | 20 |
About Pedro Marín-Rubio
Pedro Marín-Rubio is a scholar working on Applied Mathematics, Control and Systems Engineering and Computational Theory and Mathematics, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (60 papers), Advanced Mathematical Modeling in Engineering (36 papers), Navier-Stokes equation solutions (18 papers), Advanced Mathematical Physics Problems (13 papers), Nonlinear Differential Equations Analysis (12 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Nonlinear Partial Differential Equations (5 papers) and Numerical methods for differential equations (5 papers). The work is most often cited by research in Applied Mathematics (719 citations), Control and Systems Engineering (1.2k citations) and Computational Theory and Mathematics (776 citations). Pedro Marín-Rubio has collaborated with scholars based in Spain, Germany and Brazil. Frequent co-authors include José Real, Tomás Caraballo, Peter E. Kloeden, José Valero, James C. Robinson, Marı́a J. Garrido-Atienza, Gabriela Planas, Alexandre N. Carvalho, To Fu and Bruno de Andrade. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Chaos Solitons & Fractals and Journal of Differential Equations.
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.