Juan A. Almendral

1.1k total citations
38 papers, 773 citations indexed

About

Juan A. Almendral is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Juan A. Almendral has authored 38 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 20 papers in Computer Networks and Communications and 13 papers in Cognitive Neuroscience. Recurrent topics in Juan A. Almendral's work include Nonlinear Dynamics and Pattern Formation (19 papers), Neural dynamics and brain function (13 papers) and Complex Network Analysis Techniques (13 papers). Juan A. Almendral is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (19 papers), Neural dynamics and brain function (13 papers) and Complex Network Analysis Techniques (13 papers). Juan A. Almendral collaborates with scholars based in Spain, Italy and Israel. Juan A. Almendral's co-authors include I. Leyva, I. Sendiña–Nadal, Stefano Boccaletti, Javier M. Buldú, A. Navas, Miguel A. F. Sanjuán, David Papo, Shlomo Havlin, Simona Olmi and Massimiliano Zanin and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Juan A. Almendral

35 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan A. Almendral Spain 15 414 395 304 83 73 38 773
Ricardo Gutiérrez Spain 18 498 1.2× 484 1.2× 489 1.6× 68 0.8× 94 1.3× 45 1.3k
Per Sebastian Skardal United States 16 730 1.8× 479 1.2× 315 1.0× 212 2.6× 91 1.2× 42 998
R. Sevilla-Escoboza Mexico 18 788 1.9× 755 1.9× 261 0.9× 95 1.1× 98 1.3× 49 1.2k
Zoran Levnajić Slovenia 13 184 0.4× 282 0.7× 159 0.5× 35 0.4× 119 1.6× 31 636
I. Leyva Spain 20 931 2.2× 722 1.8× 538 1.8× 163 2.0× 125 1.7× 65 1.4k
Christian Bick United Kingdom 17 481 1.2× 309 0.8× 457 1.5× 172 2.1× 96 1.3× 46 982
Sarbendu Rakshit India 15 631 1.5× 555 1.4× 330 1.1× 65 0.8× 43 0.6× 27 789
Uwe an der Heiden Germany 17 331 0.8× 281 0.7× 258 0.8× 48 0.6× 155 2.1× 35 1.0k
K. Alfaro-Bittner Spain 13 309 0.7× 454 1.1× 129 0.4× 60 0.7× 68 0.9× 33 773
Martin Rohden Germany 10 522 1.3× 338 0.9× 125 0.4× 112 1.3× 72 1.0× 10 801

Countries citing papers authored by Juan A. Almendral

Since Specialization
Citations

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

Fields of papers citing papers by Juan A. Almendral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan A. Almendral. 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 Juan A. Almendral. The network helps show where Juan A. Almendral may publish in the future.

Co-authorship network of co-authors of Juan A. Almendral

This figure shows the co-authorship network connecting the top 25 collaborators of Juan A. Almendral. A scholar is included among the top collaborators of Juan A. Almendral 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 Juan A. Almendral. Juan A. Almendral 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.
Leyva, I., Juan A. Almendral, Christophe Letellier, & I. Sendiña–Nadal. (2025). Local Predictors of Explosive Synchronization with Ordinal Methods. Entropy. 27(2). 113–113.
2.
Almendral, Juan A., I. Leyva, & I. Sendiña–Nadal. (2023). Unveiling the Connectivity of Complex Networks Using Ordinal Transition Methods. Entropy. 25(7). 1079–1079. 5 indexed citations
3.
Khalil, Nagi, I. Leyva, Juan A. Almendral, & I. Sendiña–Nadal. (2023). Deterministic and stochastic cooperation transitions in evolutionary games on networks. Physical review. E. 107(5). 54302–54302. 4 indexed citations
4.
Leyva, I., et al.. (2023). Self-organization and evolution of structure and function in cultured neuronal networks. Chaos Solitons & Fractals. 173. 113764–113764. 2 indexed citations
5.
Almendral, Juan A., I. Leyva, Federico Battiston, et al.. (2018). Emergent explosive synchronization in adaptive complex networks. Physical review. E. 97(4). 42301–42301. 41 indexed citations
6.
Sendiña–Nadal, I., I. Leyva, A. Navas, et al.. (2015). Effects of degree correlations on the explosive synchronization of scale-free networks. Physical Review E. 91(3). 32811–32811. 26 indexed citations
7.
Navas, A., et al.. (2015). Effective centrality and explosive synchronization in complex networks. Physical Review E. 92(6). 62820–62820. 16 indexed citations
8.
Morino, Kai, et al.. (2015). Robustness of Oscillatory Behavior in Correlated Networks. PLoS ONE. 10(4). e0123722–e0123722. 25 indexed citations
9.
Leyva, I., I. Sendiña–Nadal, Juan A. Almendral, et al.. (2013). Explosive synchronization in weighted complex networks. PubMed. 88(4). 42808–42808. 84 indexed citations
10.
Leyva, I., A. Navas, I. Sendiña–Nadal, et al.. (2013). Explosive transitions to synchronization in networks of phase oscillators. Scientific Reports. 3(1). 1281–1281. 92 indexed citations
11.
Almendral, Juan A., et al.. (2012). Assortative and modular networks are shaped by adaptive synchronization processes. Physical Review E. 86(1). 15101–15101. 22 indexed citations
12.
Buldú, Javier M., Ricardo Bajo, Fernando Maestú, et al.. (2011). Reorganization of Functional Networks in Mild Cognitive Impairment. PLoS ONE. 6(5). e19584–e19584. 99 indexed citations
13.
Sendiña–Nadal, I., Javier M. Buldú, I. Leyva, et al.. (2011). Integration Versus Segregation in Functional Brain Networks. IEEE Transactions on Biomedical Engineering. 58(10). 3004–3007. 6 indexed citations
14.
Sendiña–Nadal, I., Yanay Ofran, Juan A. Almendral, et al.. (2011). Unveiling Protein Functions through the Dynamics of the Interaction Network. PLoS ONE. 6(3). e17679–e17679. 11 indexed citations
15.
Almendral, Juan A., I. Leyva, & I. Sendiña–Nadal. (2009). ENHANCING NETWORK SYNCHRONIZATION BY SPARSE REPULSIVE COUPLINGS. International Journal of Bifurcation and Chaos. 19(2). 711–717. 2 indexed citations
16.
Almendral, Juan A., I. Sendiña–Nadal, Donghyeon Yu, I. Leyva, & Stefano Boccaletti. (2009). Regulating synchronous states of complex networks by pinning interaction with an external node. Physical Review E. 80(6). 66111–66111. 4 indexed citations
17.
Almendral, Juan A., et al.. (2007). The interplay of universities and industry through the FP5 network. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 6 indexed citations
18.
Almendral, Juan A., et al.. (2007). The network of scientific collaborations within the European framework programme. Physica A Statistical Mechanics and its Applications. 384(2). 675–683. 17 indexed citations
19.
Leyva, I., I. Sendiña–Nadal, Juan A. Almendral, & Miguel A. F. Sanjuán. (2006). Sparse repulsive coupling enhances synchronization in complex networks. Physical Review E. 74(5). 56112–56112. 43 indexed citations
20.
Almendral, Juan A., Luis López, & Miguel A. F. Sanjuán. (2003). Information flow in generalized hierarchical networks. Physica A Statistical Mechanics and its Applications. 324(1-2). 424–429. 4 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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