Fernando Casas

3.0k total citations
116 papers, 1.9k citations indexed

About

Fernando Casas is a scholar working on Numerical Analysis, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Fernando Casas has authored 116 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Numerical Analysis, 30 papers in Electrical and Electronic Engineering and 29 papers in Statistical and Nonlinear Physics. Recurrent topics in Fernando Casas's work include Numerical methods for differential equations (73 papers), Matrix Theory and Algorithms (23 papers) and Electromagnetic Simulation and Numerical Methods (22 papers). Fernando Casas is often cited by papers focused on Numerical methods for differential equations (73 papers), Matrix Theory and Algorithms (23 papers) and Electromagnetic Simulation and Numerical Methods (22 papers). Fernando Casas collaborates with scholars based in Spain, United States and France. Fernando Casas's co-authors include Sergio Blanes, Ander Murua, J.M. Gómez-Ros, J A Oteo, J Ros, Philipp Bader, Arieh Iserles, Ariadna Farrés, J. Laskar and Celso Grebogi and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Computational Physics.

In The Last Decade

Fernando Casas

108 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Casas Spain 25 779 414 384 327 322 116 1.9k
John N. Shadid United States 32 619 0.8× 207 0.5× 274 0.7× 1.9k 5.7× 362 1.1× 122 2.8k
Avram Sidi Israel 25 1.1k 1.4× 571 1.4× 258 0.7× 445 1.4× 181 0.6× 138 2.5k
Roberto Barrio Spain 24 265 0.3× 94 0.2× 1.1k 3.0× 118 0.4× 84 0.3× 122 1.9k
Ronald D. Ruth United States 20 529 0.7× 529 1.3× 339 0.9× 228 0.7× 706 2.2× 89 2.1k
Yvon Maday France 23 224 0.3× 468 1.1× 486 1.3× 642 2.0× 323 1.0× 45 1.6k
Bangti Jin United Kingdom 36 1.9k 2.4× 115 0.3× 201 0.5× 692 2.1× 474 1.5× 140 4.5k
Ray Tuminaro United States 15 273 0.4× 207 0.5× 113 0.3× 984 3.0× 222 0.7× 32 1.6k
Folkmar Bornemann Germany 23 293 0.4× 311 0.8× 196 0.5× 620 1.9× 208 0.6× 60 1.7k
Jeffrey Rauch United States 29 296 0.4× 222 0.5× 517 1.3× 433 1.3× 139 0.4× 111 3.8k
June‐Yub Lee South Korea 20 193 0.2× 272 0.7× 74 0.2× 442 1.4× 371 1.2× 47 1.6k

Countries citing papers authored by Fernando Casas

Since Specialization
Citations

This map shows the geographic impact of Fernando Casas'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 Fernando Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Casas more than expected).

Fields of papers citing papers by Fernando Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Casas. 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 Fernando Casas. The network helps show where Fernando Casas may publish in the future.

Co-authorship network of co-authors of Fernando Casas

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Casas. A scholar is included among the top collaborators of Fernando Casas 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 Fernando Casas. Fernando Casas 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
1.
Blanes, Sergio, et al.. (2024). Families of efficient low order processed composition methods. Applied Numerical Mathematics. 204. 86–100. 2 indexed citations
2.
Blanes, Sergio, et al.. (2023). Generalisation of splitting methods based on modified potentials to nonlinear evolution equations of parabolic and Schrödinger type. Computer Physics Communications. 295. 109007–109007.
3.
Bernier, Jean-Sébastien, et al.. (2023). Symmetric-conjugate splitting methods for linear unitary problems. BIT Numerical Mathematics. 63(4). 1 indexed citations
4.
Casas, Fernando, et al.. (2023). Magnus integrators for linear and quasilinear delay differential equations. Journal of Computational and Applied Mathematics. 431. 115273–115273. 1 indexed citations
5.
Casas, Fernando, et al.. (2023). A New Optimality Property of Strang’s Splitting. SIAM Journal on Numerical Analysis. 61(3). 1369–1385. 1 indexed citations
6.
Blanes, Sergio, et al.. (2022). Runge–Kutta–Nyström symplectic splitting methods of order 8. Applied Numerical Mathematics. 182. 14–27. 3 indexed citations
7.
Casas, Fernando, et al.. (2021). A Unifying Framework for Perturbative Exponential Factorizations. Mathematics. 9(6). 637–637. 2 indexed citations
8.
Casas, Fernando, et al.. (2020). Compositions of pseudo-symmetric integrators with complex coefficients for the numerical integration of differential equations. Journal of Computational and Applied Mathematics. 381. 113006–113006. 6 indexed citations
9.
Casas, Fernando, et al.. (2020). Exponential Perturbative Expansions and Coordinate Transformations. Mathematical and Computational Applications. 25(3). 50–50. 5 indexed citations
10.
Casas, Fernando, Philippe Chartier, & Ander Murua. (2019). Continuous changes of variables and the Magnus expansion. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
11.
Bader, Philipp, Sergio Blanes, & Fernando Casas. (2019). Computing the Matrix Exponential with an Optimized Taylor Polynomial Approximation. Mathematics. 7(12). 1174–1174. 24 indexed citations
12.
Bader, Philipp, et al.. (2018). Novel symplectic integrators for the Klein–Gordon equation with space- and time-dependent mass. Journal of Computational and Applied Mathematics. 350. 130–138. 6 indexed citations
13.
Casas, Fernando, et al.. (2017). On the structure and convergence of the symmetric Zassenhaus formula. Computer Physics Communications. 217. 58–65. 5 indexed citations
14.
Blanes, Sergio, Fernando Casas, & Mechthild Thalhammer. (2017). High-order commutator-free quasi-Magnus exponential integrators for non-autonomous linear evolution equations. Computer Physics Communications. 220. 243–262. 26 indexed citations
15.
Desai, Amit P., Amy Tyberg, Prashant Kedia, et al.. (2016). Optical coherence tomography (OCT) prior to peroral endoscopic myotomy (POEM) reduces procedural time and bleeding: a multicenter international collaborative study. Surgical Endoscopy. 30(11). 5126–5133. 8 indexed citations
16.
Casas, Fernando, et al.. (2014). Exponential polar factorization of the fundamental matrix of linear differential systems. Journal of Computational and Applied Mathematics. 268. 168–178.
17.
Granegger, Marcus, Francesco Moscato, Fernando Casas, Georg Wieselthaler, & Heinrich Schima. (2012). Development of a Pump Flow Estimator for Rotary Blood Pumps to Enhance Monitoring of Ventricular Function. Artificial Organs. 36(8). 691–699. 54 indexed citations
18.
Casas, Fernando, et al.. (2010). Cycle Testing of the MagScrew Total Artificial Heart External Battery Pack: Update I. Artificial Organs. 35(2). 188–191. 1 indexed citations
19.
Casas, Fernando. (2003). Numerical integration methods for the double-bracket flow. Journal of Computational and Applied Mathematics. 166(2). 477–495. 6 indexed citations
20.
Blanes, Sergio & Fernando Casas. (2003). On the convergence and optimization of the Baker–Campbell–Hausdorff formula. Linear Algebra and its Applications. 378. 135–158. 33 indexed citations

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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