J.‐C. Cortés

181 papers receiving 1.8k citations

Peers

J.‐C. Cortés
Comparison fields: 5 of 129
  • Modeling and Simulation 582
  • Statistics, Probability and Uncertainty 545
  • Numerical Analysis 291
  • Applied Mathematics 475
  • Statistical and Nonlinear Physics 393
Replace L. Jódar with:
L. Jódar Spain
Aman Ullah Pakistan
Gianni Pagnini Italy
R. K. Saxena India
P. Vellaisamy India
Tusheng Zhang United Kingdom
Farshid Mirzaee Iran
Enzo Orsingher Italy
Yaozhong Hu United States
Hans‐Peter Scheffler Germany
J.‐C. Cortés relative to L. Jódar Spain L. Jódar's profile →
Citations per field
00.5×1.5×1.9×
L. Jódar · 1×
Citations per year

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-authors

The 25 scholars most cited alongside J.‐C. Cortés, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.‐C. Cortés Line = papers co-authored together J.‐C. Cortés links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998129
2 1998112
3 200969
4 200660
5 200046
6 200546
7 201542
8 200841
9 200740
10 201537
11 200833
12 200528
13 201926
14 201023
15 201123
16 201421
17 202321
18 201720
19 201720
20 201120

About J.‐C. Cortés

J.‐C. Cortés is a scholar working on Statistics, Probability and Uncertainty, Modeling and Simulation, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Numerical Analysis, having authored 203 papers that have together received 1.8k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (77 papers), Fractional Differential Equations Solutions (38 papers), Differential Equations and Numerical Methods (20 papers), Statistical Distribution Estimation and Applications (18 papers), Advanced Mathematical Modeling in Engineering (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Nonlinear Differential Equations Analysis (15 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Modeling and Simulation (582 citations), Statistics, Probability and Uncertainty (545 citations), Numerical Analysis (291 citations), Applied Mathematics (475 citations) and Statistical and Nonlinear Physics (393 citations). J.‐C. Cortés has collaborated with scholars based in Spain, United States and Mexico. Frequent 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 Abraham J. Arenas. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Mathematical and Computer Modelling and Computers & Mathematics with Applications.

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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