Andrés Aragoneses

425 total citations
33 papers, 311 citations indexed

About

Andrés Aragoneses is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Andrés Aragoneses has authored 33 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Andrés Aragoneses's work include Nonlinear Dynamics and Pattern Formation (12 papers), Chaos control and synchronization (9 papers) and Neural Networks and Reservoir Computing (8 papers). Andrés Aragoneses is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (12 papers), Chaos control and synchronization (9 papers) and Neural Networks and Reservoir Computing (8 papers). Andrés Aragoneses collaborates with scholars based in United States, Spain and Brazil. Andrés Aragoneses's co-authors include M. C. Torrent, Cristina Masoller, Arjendu K. Pattanayak, Daniel J. Gauthier, J. Belana, Sergei K. Turitsyn, Dmitry V. Churkin, Laura C. Carpi, M. Mudarra and Nikita Tarasov and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Andrés Aragoneses

32 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrés Aragoneses United States 11 110 104 95 87 72 33 311
Volker Ahlers Germany 8 171 1.6× 33 0.3× 213 2.2× 62 0.7× 42 0.6× 24 343
Stavros G. Stavrinides Greece 12 275 2.5× 77 0.7× 146 1.5× 325 3.7× 55 0.8× 92 649
Ana V. Coronado Spain 10 85 0.8× 80 0.8× 12 0.1× 31 0.4× 98 1.4× 19 342
Juan Hugo García-López Mexico 13 383 3.5× 53 0.5× 311 3.3× 131 1.5× 28 0.4× 55 572
Andreas Engel Germany 5 90 0.8× 167 1.6× 18 0.2× 41 0.5× 11 0.2× 7 350
Xiaomin Guo China 12 84 0.8× 205 2.0× 80 0.8× 107 1.2× 10 0.1× 37 353
J. P. Toomey Australia 11 130 1.2× 103 1.0× 143 1.5× 166 1.9× 33 0.5× 29 341
Chen-Ping Zhu China 13 198 1.8× 18 0.2× 81 0.9× 16 0.2× 43 0.6× 39 363
Tadas Meškauskas Lithuania 10 51 0.5× 16 0.2× 16 0.2× 38 0.4× 52 0.7× 24 364
Caitlin R. S. Williams United States 6 130 1.2× 182 1.8× 171 1.8× 126 1.4× 5 0.1× 12 396

Countries citing papers authored by Andrés Aragoneses

Since Specialization
Citations

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

Fields of papers citing papers by Andrés Aragoneses

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrés Aragoneses

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Aragoneses. A scholar is included among the top collaborators of Andrés Aragoneses 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 Andrés Aragoneses. Andrés Aragoneses 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.
Aragoneses, Andrés, et al.. (2025). Geometrical representation of dynamical symmetries in ordinal pattern analysis of time series. Physical review. E. 111(6). 64216–64216. 1 indexed citations
2.
Tiana‐Alsina, Jordi, et al.. (2025). Characterizing temporal correlations in the output of a semiconductor laser with optical feedback. Physica D Nonlinear Phenomena. 481. 134760–134760.
3.
Acero, M. A., et al.. (2024). Universality of Dynamical Symmetries in Chaotic Maps. Entropy. 26(11). 969–969. 2 indexed citations
4.
Aragoneses, Andrés, et al.. (2023). Permutation entropy of indexed ensembles: quantifying thermalization dynamics. Journal of Physics Complexity. 4(2). 02LT02–02LT02. 2 indexed citations
5.
Aragoneses, Andrés, et al.. (2023). Unveiling Dynamical Symmetries in 2D Chaotic Iterative Maps with Ordinal-Patterns-Based Complexity Quantifiers. SHILAP Revista de lepidopterología. 3(4). 750–763. 1 indexed citations
6.
Pattanayak, Arjendu K., et al.. (2022). TARDYS Quantifiers: Extracting Temporal and Reversible DYnamical Symmetries. Photonics. 9(12). 938–938. 7 indexed citations
7.
Pattanayak, Arjendu K., et al.. (2021). Ordinal patterns in the Duffing oscillator: Analyzing powers of characterization. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(2). 23104–23104. 8 indexed citations
8.
Aragoneses, Andrés, et al.. (2020). Characterizing complexity of non-invertible chaotic maps in the Shannon–Fisher information plane with ordinal patterns. Chaos Solitons & Fractals. 142. 110492–110492. 12 indexed citations
9.
Aragoneses, Andrés, et al.. (2020). Developing Educational YouTube Videos as a Tool to Learn and Teach Physics. The Physics Teacher. 58(7). 488–490. 7 indexed citations
10.
Aragoneses, Andrés, et al.. (2019). Correlations Preceding High-Intensity Events in the Chaotic Dynamics of a Raman Fiber Laser. Entropy. 21(2). 151–151. 2 indexed citations
11.
Aragoneses, Andrés, Nurul T. Islam, M. G. Eggleston, et al.. (2018). Bounding the outcome of a two-photon interference measurement using weak coherent states. Optics Letters. 43(16). 3806–3806. 14 indexed citations
12.
Aragoneses, Andrés, et al.. (2018). Forecasting Events in the Complex Dynamics of a Semiconductor Laser with Optical Feedback. Scientific Reports. 8(1). 10741–10741. 10 indexed citations
13.
Aragoneses, Andrés, et al.. (2017). Disclosure day on relativity: A science activity beyond the classroom. World Journal on Educational Technology Current Issues. 9(2). 59–66. 2 indexed citations
14.
Aragoneses, Andrés, et al.. (2017). Are the spikes emitted by a semiconductor laser with feedback similar to neuronal spikes?. QRU Quaderns de Recerca en Urbanisme. 1–4. 1 indexed citations
15.
Aragoneses, Andrés, Laura C. Carpi, Nikita Tarasov, et al.. (2016). Unveiling Temporal Correlations Characteristic of a Phase Transition in the Output Intensity of a Fiber Laser. Physical Review Letters. 116(3). 33902–33902. 43 indexed citations
16.
Aragoneses, Andrés, et al.. (2014). Unveiling the complex organization of recurrent patterns in spiking dynamical systems. Scientific Reports. 4(1). 4696–4696. 45 indexed citations
17.
Aragoneses, Andrés, et al.. (2014). Experimental study of the complex dynamics of semiconductor lasers with feedback via symbolic time-series analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9134. 91340L–91340L. 3 indexed citations
18.
Aragoneses, Andrés, et al.. (2013). Effect of humidity in charge formation and transport in LDPE. Journal of Electrostatics. 71(4). 611–617. 8 indexed citations
19.
Aragoneses, Andrés, Nicolás Rubido, Jordi Tiana‐Alsina, M. C. Torrent, & Cristina Masoller. (2013). Distinguishing signatures of determinism and stochasticity in spiking complex systems. Scientific Reports. 3(1). 26 indexed citations
20.
Marcé‐Nogué, Jordi, Andrés Aragoneses, Ernest Bernat-Masó, et al.. (2012). Teaching Engineering with Autonomous Learning Tools: Good Practices in GRAPAU-RIMA. Procedia - Social and Behavioral Sciences. 46. 629–634. 2 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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