José Valero

3.6k total citations
136 papers, 2.3k citations indexed

About

José Valero is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, José Valero has authored 136 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Control and Systems Engineering, 64 papers in Computational Theory and Mathematics and 57 papers in Applied Mathematics. Recurrent topics in José Valero's work include Stability and Controllability of Differential Equations (99 papers), Advanced Mathematical Modeling in Engineering (60 papers) and Nonlinear Differential Equations Analysis (43 papers). José Valero is often cited by papers focused on Stability and Controllability of Differential Equations (99 papers), Advanced Mathematical Modeling in Engineering (60 papers) and Nonlinear Differential Equations Analysis (43 papers). José Valero collaborates with scholars based in Spain, Ukraine and Germany. José Valero's co-authors include Tomás Caraballo, В. С. Мельник, Oleksiy V. Kapustyan, Francisco Morillas, José A. Langa, Björn Schmalfuß, Marı́a J. Garrido-Atienza, Pedro Marín-Rubio, Peter E. Kloeden and Pavlo O. Kasyanov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

José Valero

126 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Valero Spain 26 1.8k 1.2k 817 692 387 136 2.3k
Boris Andreïanov France 17 199 0.1× 292 0.2× 416 0.5× 16 0.0× 127 0.3× 65 898
S. N. Antont︠s︡ev Portugal 24 978 0.5× 2.0k 1.6× 2.0k 2.5× 9 0.0× 1.1k 2.7× 122 2.7k
Lisheng Hou United States 22 401 0.2× 693 0.6× 260 0.3× 10 0.0× 128 0.3× 64 1.6k
Mostafa Bendahmane France 18 131 0.1× 424 0.3× 360 0.4× 53 0.1× 175 0.5× 65 902
Luigi Orsina Italy 20 237 0.1× 1.5k 1.2× 1.7k 2.1× 4 0.0× 963 2.5× 85 2.1k
Lucas C. F. Ferreira Brazil 17 170 0.1× 99 0.1× 509 0.6× 9 0.0× 459 1.2× 86 728
Zdzisław Denkowski Poland 11 161 0.1× 856 0.7× 331 0.4× 24 0.0× 64 0.2× 24 1.1k
Corrado Lattanzio Italy 14 154 0.1× 60 0.0× 343 0.4× 62 0.1× 202 0.5× 34 575
K. W. Chang Taiwan 11 105 0.1× 174 0.1× 181 0.2× 33 0.0× 38 0.1× 35 712
Shenzhou Zheng China 12 127 0.1× 169 0.1× 385 0.5× 8 0.0× 126 0.3× 116 776

Countries citing papers authored by José Valero

Since Specialization
Citations

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

Fields of papers citing papers by José Valero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Valero

This figure shows the co-authorship network connecting the top 25 collaborators of José Valero. A scholar is included among the top collaborators of José Valero 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 José Valero. José Valero 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.
Caraballo, Tomás, et al.. (2025). Weak Random Attractors for the Stochastic Three-Dimensional Navier–Stokes Equations with Multiplicative Noise. SIAM Journal on Mathematical Analysis. 57(4). 3718–3754.
2.
Caraballo, Tomás, et al.. (2025). Strong Convergence of Solutions and Attractors for Reaction-Diffusion Equations Governed by a Fractional Laplacian. Applied Mathematics & Optimization. 91(2).
3.
Caraballo, Tomás, et al.. (2024). Dynamics and Wong-Zakai Approximations of Stochastic Nonlocal PDEs with Long Time Memory. Qualitative Theory of Dynamical Systems. 23(5). 4 indexed citations
4.
Caraballo, Tomás, et al.. (2023). On the Limit of Solutions for a Reaction–Diffusion Equation Containing Fractional Laplacians. Applied Mathematics & Optimization. 89(1). 1 indexed citations
5.
Caraballo, Tomás, et al.. (2022). Asymptotic behavior of a semilinear problem in heat conduction with long time memory and non-local diffusion. Journal of Differential Equations. 327. 418–447. 19 indexed citations
6.
Valero, José, et al.. (2021). Quality of life, body image and self-esteem in patients with unilateral transtibial amputations. Scientific Reports. 11(1). 12559–12559. 32 indexed citations
7.
Caraballo, Tomás, José A. Langa, & José Valero. (2019). Extremal bounded complete trajectories for nonautonomous reaction–diffusion equations with discontinuous forcing term. Revista Matemática Complutense. 33(2). 583–617. 6 indexed citations
8.
Carretero, L. & José Valero. (2019). Existence of periodic solutions for a scalar differential equation modelling optical conveyor belts. Journal of Mathematical Analysis and Applications. 480(1). 123385–123385. 2 indexed citations
9.
Valero, José, Ángel Giménez, Oleksiy V. Kapustyan, Pavlo O. Kasyanov, & José M. Amigó. (2016). Convergence of equilibria for numerical approximations of a suspension model. Computers & Mathematics with Applications. 72(4). 856–878. 1 indexed citations
10.
Giménez, Ángel, et al.. (2016). Influence of the hole geometry on the flow distribution in ventricular catheters for hydrocephalus. BioMedical Engineering OnLine. 15(S1). 71–71. 10 indexed citations
11.
Galarza, Marcelo, et al.. (2014). New designs of ventricular catheters for hydrocephalus by 3-D computational fluid dynamics. Child s Nervous System. 31(1). 37–48. 16 indexed citations
12.
Kasyanov, Pavlo O., et al.. (2012). Long-time behavior of evolution inclusions solutions in earth data analysis. Springer eBooks. 1 indexed citations
13.
Caraballo, Tomás, Francisco Morillas, & José Valero. (2012). Attractors of stochastic lattice dynamical systems with a multiplicative noise and non-Lipschitz nonlinearities. Journal of Differential Equations. 253(2). 667–693. 111 indexed citations
14.
Kapustyan, Oleksiy V., Pavlo O. Kasyanov, & José Valero. (2010). Pullback attractors for a class of extremal solutions of the 3D Navier–Stokes system. Journal of Mathematical Analysis and Applications. 373(2). 535–547. 18 indexed citations
15.
Kapustyan, Oleksiy V. & José Valero. (2009). On the Kneser property for the complex Ginzburg–Landau equation and the Lotka–Volterra system with diffusion. Journal of Mathematical Analysis and Applications. 357(1). 254–272. 21 indexed citations
16.
Morillas, Francisco, et al.. (2005). Attractors for reaction-diffusion equations in R N with continuous nonlinearity. Asymptotic Analysis. 44. 111–130. 43 indexed citations
17.
18.
Caraballo, Tomás, José A. Langa, & José Valero. (2001). Global Attractors for Multivalued Random Dynamical Systems Generated by Random Differential Inclusions with Multiplicative Noise. Journal of Mathematical Analysis and Applications. 260(2). 602–622. 35 indexed citations
19.
Valero, José. (1999). On Locally Compact Attractors of Dynamical Systems. Journal of Mathematical Analysis and Applications. 237(1). 43–54. 3 indexed citations
20.
Valero, José. (1991). Determinacion fotometrica de vanadio mediante sistemas ternarios. 57(1). 23–41. 4 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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