Inmaculada Higueras

828 citations
46 papers · 622 indexed · h-index 14
Topics
Numerical methods for differential equations (35 papers)Advanced Numerical Methods in Computational Mathematics (21 papers)Computational Fluid Dynamics and Aerodynamics (17 papers)
Partner nations
SpainGermanyAustria

In The Last Decade

Inmaculada Higueras

42 papers receiving 529 citations

Peers

Inmaculada Higueras
Comparison fields: 5 of 58
  • Numerical Analysis 465
  • Computational Mechanics 369
  • Computational Theory and Mathematics 169
  • Electrical and Electronic Engineering 65
  • Control and Systems Engineering 49
Replace Winfried Auzinger with:
Winfried Auzinger Austria
Volker Grimm Germany
M. Frontini Italy
M. N. Spijker Netherlands
Naimin Zhang China
Chuanmiao Chen China
Mario Arioli United Kingdom
Igor Moret Italy
Arthur G. Werschulz United States
Zhong Ge United States
Inmaculada Higueras relative to Winfried Auzinger Austria Winfried Auzinger's profile →
Citations per field
00.5×1.5×1.8×
Winfried Auzinger · 1×
Citations per year

Countries citing papers authored by Inmaculada Higueras

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Inmaculada Higueras

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Higueras. A scholar is included among the top collaborators of Inmaculada Higueras based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Inmaculada Higueras. Inmaculada Higueras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 3
4 26
5
Positivity properties for the classical fourth order Runge-Kutta method
3
6 6
7 20
8 10
9 0
10
Positivity-preserving and entropy-decaying IMEX methods
7
11 71
12
Starting algorithms for partitioned Runge-Kutta methods: the pair Lobatto IIIA-IIIB
0
13 32
14 4
15 2
16 2
17 10
18 13
19 12
20 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) and Computational Fluid Dynamics and Aerodynamics (17 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.

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