E. Campos-Cantón

66 papers receiving 943 citations

Peers

E. Campos-Cantón
Comparison fields: 5 of 60
  • Statistical and Nonlinear Physics 701
  • Computer Networks and Communications 385
  • Computer Vision and Pattern Recognition 337
  • Modeling and Simulation 51
  • Mathematical Physics 89
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Citations per year

Countries citing papers authored by E. Campos-Cantón

Since Specialization
Citations

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

Fields of papers citing papers by E. Campos-Cantón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Campos-Cantón. 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 E. Campos-Cantón. The network helps show where E. Campos-Cantón may publish in the future.

Co-authors

The 25 scholars most cited alongside E. Campos-Cantón, 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 E. Campos-Cantón Line = papers co-authored together E. Campos-Cantón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201078
2 202078
3 201559
4 201554
5 201749
6 201247
7 201538
8 201437
9 201436
10 201835
11 201532
12 201727
13 201327
14 200826
15 201525
16 202321
17 201621
18 201320
19 201820
20
Wavelet analysis of chaotic time series
200618

About E. Campos-Cantón

E. Campos-Cantón is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 70 papers that have together received 961 indexed citations. Recurring topics across this work include Chaos control and synchronization (46 papers), Nonlinear Dynamics and Pattern Formation (32 papers), Quantum chaos and dynamical systems (18 papers), Chaos-based Image/Signal Encryption (12 papers), stochastic dynamics and bifurcation (9 papers), Mathematical Dynamics and Fractals (8 papers), Advanced Differential Equations and Dynamical Systems (5 papers) and Fractal and DNA sequence analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (701 citations), Computer Networks and Communications (385 citations), Computer Vision and Pattern Recognition (337 citations), Modeling and Simulation (51 citations) and Mathematical Physics (89 citations). E. Campos-Cantón has collaborated with scholars based in Mexico, United States and Czechia. Frequent co-authors include Ricardo Femat, Ernesto Zambrano-Serrano, Jesús M. Muñoz‐Pacheco, Juan Gonzalo Barajas-Ramírez, Sergej Čelikovský, Gualberto Solís‐Perales, Alexander N. Pisarchik, Guanrong Chen, J.S. Murguía and G. Huerta-Cuéllar. Their work appears in journals such as International Journal of Bifurcation and Chaos, Chaos Solitons & Fractals, Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Modern Physics C and Communications in Nonlinear Science and Numerical Simulation.

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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