L. Rández

1.6k total citations
69 papers, 1.2k citations indexed

About

L. Rández is a scholar working on Numerical Analysis, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, L. Rández has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Numerical Analysis, 34 papers in Computational Mechanics and 34 papers in Electrical and Electronic Engineering. Recurrent topics in L. Rández's work include Numerical methods for differential equations (58 papers), Electromagnetic Simulation and Numerical Methods (33 papers) and Advanced Numerical Methods in Computational Mathematics (26 papers). L. Rández is often cited by papers focused on Numerical methods for differential equations (58 papers), Electromagnetic Simulation and Numerical Methods (33 papers) and Advanced Numerical Methods in Computational Mathematics (26 papers). L. Rández collaborates with scholars based in Spain, Italy and Belgium. L. Rández's co-authors include J.I. Montijano, M. Calvo, J.M. Franco, Luigi Brugnano, Francesco Capuano, Luigi de Luca, Gennaro Coppola, S. González‐Pinto, M. P. Calvo and A. Elipe and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

L. Rández

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Rández Spain 21 1000 528 385 345 185 69 1.2k
M. Calvo Spain 18 789 0.8× 435 0.8× 311 0.8× 253 0.7× 149 0.8× 67 967
J.I. Montijano Spain 18 909 0.9× 467 0.9× 391 1.0× 313 0.9× 178 1.0× 93 1.2k
Bruno D. Welfert United States 15 329 0.3× 509 1.0× 283 0.7× 152 0.4× 93 0.5× 67 974
Georgios Akrivis Greece 23 1.0k 1.0× 946 1.8× 348 0.9× 289 0.8× 223 1.2× 64 1.7k
Luigi Brugnano Italy 28 1.8k 1.8× 842 1.6× 680 1.8× 615 1.8× 361 2.0× 121 2.2k
Songhe Song China 16 543 0.5× 342 0.6× 104 0.3× 168 0.5× 208 1.1× 95 814
Donato Trigiante Italy 24 1.3k 1.3× 669 1.3× 565 1.5× 461 1.3× 216 1.2× 81 1.6k
Ohannes A. Karakashian United States 24 901 0.9× 1.4k 2.7× 531 1.4× 509 1.5× 423 2.3× 52 2.1k
Mengzhao Qin China 15 734 0.7× 326 0.6× 100 0.3× 278 0.8× 373 2.0× 45 976
Heping Ma China 19 632 0.6× 592 1.1× 254 0.7× 160 0.5× 183 1.0× 69 1.2k

Countries citing papers authored by L. Rández

Since Specialization
Citations

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

Fields of papers citing papers by L. Rández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Rández

This figure shows the co-authorship network connecting the top 25 collaborators of L. Rández. A scholar is included among the top collaborators of L. Rández 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 L. Rández. L. Rández 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.
Calvo, M., J.I. Montijano, & L. Rández. (2025). Modified Singly-Runge–Kutta-TASE Methods for the Numerical Solution of Stiff Differential Equations. Journal of Scientific Computing. 103(1). 1 indexed citations
2.
Rández, L., et al.. (2025). Proper likelihood functions for parameter estimation in S-shaped models of unperturbed tumor growth. Scientific Reports. 15(1). 6598–6598.
3.
Calvo, M., et al.. (2023). Explicit two-step peer methods with reused stages. Applied Numerical Mathematics. 195. 75–88. 2 indexed citations
4.
Calvo, M., Lin Fu, J.I. Montijano, & L. Rández. (2023). Singly TASE Operators for the Numerical Solution of Stiff Differential Equations by Explicit Runge–Kutta Schemes. Journal of Scientific Computing. 96(1). 7 indexed citations
5.
Franco, J.M. & L. Rández. (2018). A class of explicit high-order exponentially-fitted two-step methods for solving oscillatory IVPs. Journal of Computational and Applied Mathematics. 342. 210–224. 2 indexed citations
6.
Montijano, J.I., et al.. (2014). Functionally Fitted Explicit Two Step Peer Methods. Journal of Scientific Computing. 64(3). 938–958. 2 indexed citations
7.
Brugnano, Luigi, M. Calvo, J.I. Montijano, & L. Rández. (2012). Energy-preserving methods for Poisson systems. Journal of Computational and Applied Mathematics. 236(16). 3890–3904. 36 indexed citations
8.
Calvo, M., J.M. Franco, J.I. Montijano, & L. Rández. (2011). On some new low storage implementations of time advancing Runge–Kutta methods. Journal of Computational and Applied Mathematics. 236(15). 3665–3675. 50 indexed citations
9.
Rández, L., et al.. (2010). New embedded explicit pairs of exponentially fitted Runge–Kutta methods. Journal of Computational and Applied Mathematics. 234(3). 767–776. 4 indexed citations
10.
Calvo, M., J.M. Franco, J.I. Montijano, & L. Rández. (2008). Sixth-order symmetric and symplectic exponentially fitted Runge–Kutta methods of the Gauss type. Journal of Computational and Applied Mathematics. 223(1). 387–398. 77 indexed citations
11.
Calvo, M., J.M. Franco, J.I. Montijano, & L. Rández. (2007). Structure preservation of exponentially fitted Runge–Kutta methods. Journal of Computational and Applied Mathematics. 218(2). 421–434. 75 indexed citations
12.
Calvo, M., et al.. (2000). On the numerical integration of orthogonal flows with Runge–Kutta methods. Journal of Computational and Applied Mathematics. 115(1-2). 121–135. 3 indexed citations
13.
Franco, J.M., Inmaculada Gómez, & L. Rández. (1997). SDIRK methods for stiff ODEs with oscillating solutions. Journal of Computational and Applied Mathematics. 81(2). 197–209. 22 indexed citations
14.
González‐Pinto, S., J.I. Montijano, & L. Rández. (1996). Improving the efficiency of the iterative schemes for implicit Runge-Kutta methods. Journal of Computational and Applied Mathematics. 66(1-2). 227–238. 4 indexed citations
15.
Calvo, M., J.M. Franco, J.I. Montijano, & L. Rández. (1996). Explicit Runge-Kutta methods for initial value problems with oscillating solutions. Journal of Computational and Applied Mathematics. 76(1-2). 195–212. 22 indexed citations
16.
Calvo, M., J.I. Montijano, & L. Rández. (1993). A0-stability of variable stepsize BDF methods. Journal of Computational and Applied Mathematics. 45(1-2). 29–39. 8 indexed citations
17.
Rández, L.. (1992). On the simultaneous numerical integration of an IVP and its associated variational equation. Journal of Computational and Applied Mathematics. 39(1). 103–108. 1 indexed citations
18.
Rández, L.. (1992). Improving the efficiency of the multiple shooting technique. Computers & Mathematics with Applications. 24(7). 127–132. 3 indexed citations
19.
Calvo, M., J.I. Montijano, & L. Rández. (1990). A fifth-order interpolant for the Dormand and Prince Runge-Kutta method. Journal of Computational and Applied Mathematics. 29(1). 91–100. 27 indexed citations
20.
Calvo, M., J.I. Montijano, & L. Rández. (1990). A new embedded pair of Runge-Kutta formulas of orders 5 and 6. Computers & Mathematics with Applications. 20(1). 15–24. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by M. Calvo Breakdown of academic impact, for papers by J.I. Montijano Breakdown of academic impact, for papers by Bruno D. Welfert Breakdown of academic impact, for papers by Georgios Akrivis Breakdown of academic impact, for papers by Luigi Brugnano Breakdown of academic impact, for papers by Songhe Song Breakdown of academic impact, for papers by Donato Trigiante Breakdown of academic impact, for papers by Ohannes A. Karakashian Breakdown of academic impact, for papers by Mengzhao Qin Breakdown of academic impact, for papers by Heping Ma
Rankless by CCL
2026