Inmaculada Higueras
- Numerical Analysis top 1%
- Numerical methods for differential equations 35
- Differential Equations and Numerical Methods 9
- Computational Mechanics top 2%
- Advanced Numerical Methods in Computational Mathematics 21
- Computational Fluid Dynamics and Aerodynamics 17
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- Matrix Theory and Algorithms 14
- Applied Mathematics top 10%
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- Stochastic processes and statistical mechanics 3
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- Advertising and Communication Studies 3
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- Bayesian Methods and Mixture Models 2
Inmaculada Higueras
42 papers receiving 529 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 465
- Computational Mechanics 369
- Computational Theory and Mathematics 169
- Computational Mathematics 3
- Applied Mathematics 44
Countries citing papers authored by Inmaculada Higueras
This map shows the geographic impact of Inmaculada Higueras'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 Inmaculada Higueras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inmaculada Higueras more than expected).
Fields of papers citing papers by Inmaculada Higueras
This network shows the impact of papers produced by Inmaculada Higueras. 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 Inmaculada Higueras. The network helps show where Inmaculada Higueras may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Inmaculada Higueras, 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 | 2019 | 1 | |
| 2 | 2016 | 9 | |
| 3 | 2015 | 3 | |
| 4 | 2014 | 26 | |
| 5 | Positivity properties for the classical fourth order Runge-Kutta method | 2010 | 3 |
| 6 | 2009 | 6 | |
| 7 | 2008 | 20 | |
| 8 | 2006 | 10 | |
| 9 | 2006 | 0 | |
| 10 | Positivity-preserving and entropy-decaying IMEX methods | 2006 | 7 |
| 11 | 2005 | 71 | |
| 12 | Starting algorithms for partitioned Runge-Kutta methods: the pair Lobatto IIIA-IIIB | 2004 | 0 |
| 13 | 2004 | 32 | |
| 14 | 2003 | 4 | |
| 15 | 2002 | 2 | |
| 16 | 2001 | 2 | |
| 17 | 2000 | 10 | |
| 18 | 1999 | 13 | |
| 19 | 1999 | 12 | |
| 20 | 1970 | 2 |
About Inmaculada Higueras
Inmaculada Higueras is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 46 papers that have together received 622 indexed citations. Recurring topics across this work include Numerical methods for differential equations (35 papers), Advanced Numerical Methods in Computational Mathematics (21 papers), Computational Fluid Dynamics and Aerodynamics (17 papers), Matrix Theory and Algorithms (14 papers), Differential Equations and Numerical Methods (9 papers), Stochastic processes and statistical mechanics (3 papers), Advertising and Communication Studies (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Numerical Analysis (465 citations), Computational Mechanics (369 citations) and Computational Theory and Mathematics (169 citations). Inmaculada Higueras has collaborated with scholars based in Spain, Germany and Austria. Frequent co-authors include Roswitha März, Caren Tischendorf, F. Kupka, Othmar Koch, M. San Miguel, José Antonio Moler, Rosa Donat, Gustaf Söderlind, David I. Ketcheson and Anna Martı́nez-Gavara. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.
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.