M.J. Rubio
Impact in
- Numerical Analysis top 2%
- Iterative Methods for Nonlinear Equations
- Advanced Optimization Algorithms Research
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
Papers in
-
- Iterative Methods for Nonlinear Equations 18
- Advanced Optimization Algorithms Research 12
-
- Fractional Differential Equations Solutions 9
- Co-authors
- J.A. Ezquerro (4 shared papers)M.A. Hernández (10 shared papers)Sergio Amat (3 shared papers)Á. Alberto Magreñán (1 shared paper)Ioannis K. Argyros (2 shared papers)Sonia Busquier (1 shared paper)J.M. Gutiérrez (1 shared paper)José Manuel García Montes (1 shared paper)
- Journals
- Applied Mathematics and Computation (5 papers)Journal of Computational and Applied Mathematics (3 papers)Numerical Algorithms (2 papers)Applied Mathematics Letters (1 paper)Numerical Functional Analysis and Optimization (1 paper)
- Partner nations
- SpainUnited StatesColombia
In The Last Decade
M.J. Rubio
18 papers receiving 304 citations
Peers
Comparison fields: 5 of 27
- Numerical Analysis 299
- Modeling and Simulation 114
- Computational Theory and Mathematics 180
- Mathematical Physics 40
- Computational Mechanics 31
Countries citing papers authored by M.J. Rubio
This map shows the geographic impact of M.J. 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 M.J. Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Rubio more than expected).
Fields of papers citing papers by M.J. Rubio
This network shows the impact of papers produced by M.J. 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 M.J. Rubio. The network helps show where M.J. Rubio may publish in the future.
Co-authors
The 10 scholars most cited alongside M.J. 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 | 2000 | 72 | |
| 2 | 2002 | 51 | |
| 3 | 2002 | 44 | |
| 4 | 2002 | 38 | |
| 5 | 2005 | 30 | |
| 6 | 2001 | 21 | |
| 7 | 2003 | 12 | |
| 8 | 2014 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 1999 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2016 | 3 | |
| 15 | 2013 | 2 | |
| 16 | 2019 | 2 | |
| 17 | Aneurismas cerebrales: estudio mediante TC-helicoidal (angio-TC) con reconstrucciones tridimensionales. | 1999 | 1 |
| 18 | El método de Newton: de Newton a Kantorovich | 2010 | 1 |
| 19 | 2016 | 1 |
About M.J. Rubio
M.J. Rubio is a scholar working on Numerical Analysis, Modeling and Simulation, Mathematical Physics, Computational Theory and Mathematics and Computational Mechanics, having authored 19 papers that have together received 315 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (18 papers), Advanced Optimization Algorithms Research (12 papers), Fractional Differential Equations Solutions (9 papers), Matrix Theory and Algorithms (5 papers), Numerical methods in inverse problems (5 papers), Advanced Numerical Analysis Techniques (1 paper), Mathematical and Theoretical Analysis (1 paper) and Statistical and numerical algorithms (1 paper). The work is most often cited by research in Numerical Analysis (299 citations), Modeling and Simulation (114 citations), Computational Theory and Mathematics (180 citations), Mathematical Physics (40 citations) and Computational Mechanics (31 citations). M.J. Rubio has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include J.A. Ezquerro, M.A. Hernández, Sergio Amat, Á. Alberto Magreñán, Ioannis K. Argyros, Sonia Busquier, J.M. Gutiérrez, José Manuel García Montes, Juan Carlos Galán and M.C. Merino. Their work appears in journals such as Applied Mathematics and Computation, Journal of Computational and Applied Mathematics, Numerical Algorithms, Applied Mathematics Letters and Numerical Functional Analysis and Optimization.
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.