J.‐C. Cortés

2.6k total citations
200 papers, 1.8k citations indexed

About

J.‐C. Cortés is a scholar working on Statistics, Probability and Uncertainty, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, J.‐C. Cortés has authored 200 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Statistics, Probability and Uncertainty, 50 papers in Modeling and Simulation and 41 papers in Statistical and Nonlinear Physics. Recurrent topics in J.‐C. Cortés's work include Probabilistic and Robust Engineering Design (77 papers), Fractional Differential Equations Solutions (38 papers) and Differential Equations and Numerical Methods (20 papers). J.‐C. Cortés is often cited by papers focused on Probabilistic and Robust Engineering Design (77 papers), Fractional Differential Equations Solutions (38 papers) and Differential Equations and Numerical Methods (20 papers). J.‐C. Cortés collaborates with scholars based in Spain, United States and Mexico. J.‐C. Cortés's co-authors include L. Jódar, L. Villafuerte, Rafael J. Villanueva, M.‐D. Roselló, J.‐V. Romero, Marc Jornet, Julia Calatayud, Pablo Sevilla‐Peris, Carlos A. Braumann and Francisco José Santonja Gómez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Journal of the Franklin Institute.

In The Last Decade

J.‐C. Cortés

179 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.‐C. Cortés Spain 20 577 545 471 394 394 200 1.8k
L. Jódar Spain 24 669 1.2× 281 0.5× 929 2.0× 570 1.4× 899 2.3× 290 2.9k
Evelyn Buckwar Austria 19 344 0.6× 102 0.2× 197 0.4× 319 0.8× 216 0.5× 47 1.4k
Aman Ullah Pakistan 29 1.2k 2.1× 104 0.2× 444 0.9× 457 1.2× 72 0.2× 134 2.5k
Tusheng Zhang United Kingdom 26 451 0.8× 166 0.3× 798 1.7× 320 0.8× 743 1.9× 128 3.1k
Hans‐Peter Scheffler Germany 18 1.8k 3.1× 102 0.2× 632 1.3× 395 1.0× 132 0.3× 59 2.7k
Enzo Orsingher Italy 25 968 1.7× 87 0.2× 735 1.6× 382 1.0× 109 0.3× 144 2.2k
Farshid Mirzaee Iran 34 2.5k 4.4× 140 0.3× 974 2.1× 579 1.5× 119 0.3× 132 3.0k
R. K. Saxena India 25 1.8k 3.2× 89 0.2× 1.4k 3.0× 599 1.5× 121 0.3× 116 3.4k
Mihály Kovács Sweden 20 354 0.6× 135 0.2× 170 0.4× 59 0.1× 258 0.7× 66 1.1k
Gianni Pagnini Italy 23 1.5k 2.6× 87 0.2× 584 1.2× 560 1.4× 74 0.2× 77 2.1k

Countries citing papers authored by J.‐C. Cortés

Since Specialization
Citations

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

Fields of papers citing papers by J.‐C. Cortés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.‐C. Cortés. 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 J.‐C. Cortés. The network helps show where J.‐C. Cortés may publish in the future.

Co-authorship network of co-authors of J.‐C. Cortés

This figure shows the co-authorship network connecting the top 25 collaborators of J.‐C. Cortés. A scholar is included among the top collaborators of J.‐C. Cortés 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 J.‐C. Cortés. J.‐C. Cortés 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.
Cortés, J.‐C., et al.. (2025). A generational randomized growth model for fall-spawning Atlantic herring: Insights from real-world data. Ecological Modelling. 507. 111144–111144.
3.
Cortés, J.‐C., et al.. (2024). Probabilistic analysis of the steady state of weakly perturbed linear oscillators subject to a class of Gaussian inputs. Chaos Solitons & Fractals. 187. 115451–115451.
4.
Cortés, J.‐C., et al.. (2024). Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications. Mathematical Methods in the Applied Sciences.
5.
Caraballo, Tomás, et al.. (2023). Constructing reliable approximations of the random fractional Hermite equation: solution, moments and density. Computational and Applied Mathematics. 42(3). 1 indexed citations
6.
Zeidan, Dia, et al.. (2023). Mathematics and Computation. Springer proceedings in mathematics & statistics. 1 indexed citations
7.
Cortés, J.‐C., et al.. (2022). Study of nonhomogeneous linear second‐order discrete dynamical systems with uncertainties: Solution and stability with applications. Mathematical Methods in the Applied Sciences. 47(5). 3345–3360. 2 indexed citations
8.
Cortés, J.‐C., et al.. (2021). Solving fully randomized higher‐order linear control differential equations: Application to study the dynamics of an oscillator. Computational and Mathematical Methods. 3(6). 1 indexed citations
9.
Calatayud, Julia, Tomás Caraballo, J.‐C. Cortés, & Marc Jornet. (2020). Mathematical methods for the randomized non-autonomous Bertalanffy model. Electronic Journal of Differential Equations. 2020(01-132). 50–50. 5 indexed citations
10.
Cortés, J.‐C., et al.. (2020). Introducing randomness in the analysis of chemical reactions: An analysis based on random differential equations and probability density functions. Computational and Mathematical Methods. 3(6). 2 indexed citations
11.
Cortés, J.‐C., et al.. (2020). Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters. Chaos Solitons & Fractals. 138. 109908–109908. 13 indexed citations
12.
Caraballo, Tomás, et al.. (2019). Applying the random variable transformation method to solve a class of random linear differential equation with discrete delay. Applied Mathematics and Computation. 356. 198–218. 16 indexed citations
13.
Cortés, J.‐C., et al.. (2019). Un modelo de oferta y demanda con incertidumbre. SHILAP Revista de lepidopterología. 12(1). 111–111. 1 indexed citations
14.
Calatayud, Julia, J.‐C. Cortés, José A. Díaz, & Marc Jornet. (2019). Density function of random differential equations via finite difference schemes: a theoretical analysis of a random diffusion-reaction Poisson-type problem. Stochastics. 92(4). 627–641. 3 indexed citations
15.
Cortés, J.‐C., et al.. (2019). Approximate solutions of randomized non-autonomous complete linear differential equations via probability density functions. Electronic Journal of Differential Equations. 2019. 1–40. 1 indexed citations
16.
Cortés, J.‐C., et al.. (2019). A probabilistic analysis of a Beverton-Holt-type discrete model: Theoretical and computing analysis. Computational and Mathematical Methods. 1(1). e1013–e1013. 2 indexed citations
18.
Cortés, J.‐C., et al.. (2018). Some results about randomized binary Markov chains: theory, computing and applications. International Journal of Computer Mathematics. 97(1-2). 141–156. 6 indexed citations
19.
20.
Cortés, J.‐C., et al.. (2004). El método de Descartes para trazar normales a curvas. Suma: Revista sobre Enseñanza y Aprendizaje de las Matemáticas. 41–46. 1 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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