Alexandre Wagemakers

949 total citations
44 papers, 657 citations indexed

About

Alexandre Wagemakers is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Alexandre Wagemakers has authored 44 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 24 papers in Computer Networks and Communications and 8 papers in Molecular Biology. Recurrent topics in Alexandre Wagemakers's work include Nonlinear Dynamics and Pattern Formation (22 papers), Chaos control and synchronization (15 papers) and stochastic dynamics and bifurcation (12 papers). Alexandre Wagemakers is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (22 papers), Chaos control and synchronization (15 papers) and stochastic dynamics and bifurcation (12 papers). Alexandre Wagemakers collaborates with scholars based in Spain, United States and Lithuania. Alexandre Wagemakers's co-authors include Miguel A. F. Sanjuán, Álvar Daza, Bertrand Georgeot, David Guéry-Odelin, S. Rajasekar, Georges Kaddoum, Javier M. Buldú, Pascal Giard, Muhammet Uzuntarla and Ergin Yılmaz and has published in prestigious journals such as Physics Today, Scientific Reports and IEEE Transactions on Communications.

In The Last Decade

Alexandre Wagemakers

41 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Wagemakers Spain 15 418 302 106 98 63 44 657
Sergio Serrano Spain 15 584 1.4× 329 1.1× 22 0.2× 103 1.1× 46 0.7× 52 897
Antonio Palacios United States 20 391 0.9× 362 1.2× 301 2.8× 60 0.6× 38 0.6× 105 1.1k
J. C. Sartorelli Brazil 17 361 0.9× 295 1.0× 78 0.7× 77 0.8× 28 0.4× 49 692
Shigetoshi Nara Japan 14 195 0.5× 108 0.4× 89 0.8× 250 2.6× 42 0.7× 69 634
Yoshisuke Ueda Japan 16 838 2.0× 615 2.0× 95 0.9× 47 0.5× 33 0.5× 54 1.3k
О. И. Москаленко Russia 17 658 1.6× 666 2.2× 108 1.0× 162 1.7× 36 0.6× 114 947
Arturo C. Martı́ Uruguay 20 600 1.4× 306 1.0× 76 0.7× 67 0.7× 26 0.4× 78 930
Marius‐F. Danca Romania 21 995 2.4× 554 1.8× 100 0.9× 94 1.0× 54 0.9× 98 1.4k
Dawid Dudkowski Poland 15 906 2.2× 811 2.7× 92 0.9× 193 2.0× 43 0.7× 32 1.2k
Nataliya Stankevich Russia 16 615 1.5× 528 1.7× 64 0.6× 87 0.9× 23 0.4× 59 762

Countries citing papers authored by Alexandre Wagemakers

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Wagemakers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Wagemakers

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Wagemakers. A scholar is included among the top collaborators of Alexandre Wagemakers 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 Alexandre Wagemakers. Alexandre Wagemakers 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.
Wagemakers, Alexandre, et al.. (2025). Controlling transient chaos in the Lorenz system with machine learning. The European Physical Journal Special Topics. 234(15). 3897–3905.
2.
Wagemakers, Alexandre, et al.. (2025). Chaotic dynamics creates and destroys branched flow. Physical review. E. 111(1). 14214–14214.
3.
Wagemakers, Alexandre, et al.. (2025). AI-driven control of chaos: A transformer-based approach for dynamical systems. Communications in Nonlinear Science and Numerical Simulation. 151. 109085–109085.
4.
Jo, Junghyo, Alexandre Wagemakers, & Vipul Periwal. (2024). Annealing approach to root finding. Physical review. E. 110(2). 25305–25305. 1 indexed citations
5.
Daza, Álvar, Alexandre Wagemakers, & Miguel A. F. Sanjuán. (2023). Unpredictability and basin entropy. Europhysics Letters (EPL). 141(4). 43001–43001. 4 indexed citations
6.
Muñoz, Juan Manuel, Alexandre Wagemakers, & Miguel A. F. Sanjuán. (2023). Planetary influences on the solar cycle: A nonlinear dynamics approach. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(12). 3 indexed citations
7.
Datseris, George, et al.. (2023). Framework for global stability analysis of dynamical systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 8 indexed citations
8.
Wagemakers, Alexandre, et al.. (2018). Chaos-Based Multicarrier VLC Modulator With Compensation of LED Nonlinearity. IEEE Transactions on Communications. 67(1). 590–598. 7 indexed citations
9.
Wagemakers, Alexandre, et al.. (2018). Reducing the number of time delays in coupled dynamical systems. The European Physical Journal Special Topics. 227(10-11). 1281–1289. 1 indexed citations
10.
Wagemakers, Alexandre & Miguel A. F. Sanjuán. (2017). A new method to reduce the number of time delays in a network. Scientific Reports. 7(1). 2744–2744. 3 indexed citations
11.
Daza, Álvar, Alexandre Wagemakers, & Miguel A. F. Sanjuán. (2016). Wada property in systems with delay. Communications in Nonlinear Science and Numerical Simulation. 43. 220–226. 18 indexed citations
12.
Daza, Álvar, Alexandre Wagemakers, Bertrand Georgeot, David Guéry-Odelin, & Miguel A. F. Sanjuán. (2016). Basin entropy: a new tool to analyze uncertainty in dynamical systems. Scientific Reports. 6(1). 31416–31416. 121 indexed citations
13.
Carrara, Sandro, Sandro Carrara, Sandro Carrara, et al.. (2015). Handbook of Bioelectronics. Cambridge University Press eBooks. 26 indexed citations
14.
Daza, Álvar, Alexandre Wagemakers, Miguel A. F. Sanjuán, & James A. Yorke. (2015). Testing for Basins of Wada. Scientific Reports. 5(1). 16579–16579. 31 indexed citations
15.
Wagemakers, Alexandre, et al.. (2014). Frequency dispersion in the time-delayed Kuramoto model. Physical Review E. 89(3). 32905–32905. 18 indexed citations
16.
Wagemakers, Alexandre, Ernest Barreto, Miguel A. F. Sanjuán, & Paul So. (2014). Control of collective network chaos. Chaos An Interdisciplinary Journal of Nonlinear Science. 24(2). 23127–23127. 4 indexed citations
17.
Wagemakers, Alexandre, et al.. (2014). Cyclic motifs as the governing topological factor in time-delayed oscillator networks. Physical Review E. 90(5). 52920–52920. 3 indexed citations
18.
Daza, Álvar, Alexandre Wagemakers, & Miguel A. F. Sanjuán. (2013). STRONG SENSITIVITY OF THE VIBRATIONAL RESONANCE INDUCED BY FRACTAL STRUCTURES. International Journal of Bifurcation and Chaos. 23(7). 1350129–1350129. 6 indexed citations
19.
Wagemakers, Alexandre & Miguel A. F. Sanjuán. (2013). Electronic circuit implementation of the chaotic Rulkov neuron model. Journal of the Franklin Institute. 350(10). 2901–2910. 10 indexed citations
20.
Wagemakers, Alexandre, Javier M. Buldú, & Miguel A. F. Sanjuán. (2008). Experimental demonstration of bidirectional chaotic communication by means of isochronal synchronization. Europhysics Letters (EPL). 81(4). 40005–40005. 15 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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