I. Leyva

2.0k total citations
65 papers, 1.4k citations indexed

About

I. Leyva is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, I. Leyva has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 29 papers in Statistical and Nonlinear Physics and 23 papers in Cognitive Neuroscience. Recurrent topics in I. Leyva's work include Nonlinear Dynamics and Pattern Formation (41 papers), Neural dynamics and brain function (23 papers) and stochastic dynamics and bifurcation (16 papers). I. Leyva is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (41 papers), Neural dynamics and brain function (23 papers) and stochastic dynamics and bifurcation (16 papers). I. Leyva collaborates with scholars based in Spain, Italy and Mexico. I. Leyva's co-authors include I. Sendiña–Nadal, Stefano Boccaletti, Javier M. Buldú, Juan A. Almendral, R. Sevilla-Escoboza, A. Navas, Ricardo Gutiérrez, E. Allaria, Massimiliano Zanin and Shlomo Havlin and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

I. Leyva

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Leyva Spain 20 931 722 538 163 125 65 1.4k
D. V. Senthilkumar India 20 1.1k 1.1× 835 1.2× 281 0.5× 134 0.8× 77 0.6× 98 1.3k
R. Sevilla-Escoboza Mexico 18 788 0.8× 755 1.0× 261 0.5× 95 0.6× 98 0.8× 49 1.2k
I. Sendiña–Nadal Spain 23 1.2k 1.3× 1.0k 1.4× 574 1.1× 214 1.3× 208 1.7× 72 1.8k
Junzhong Yang China 25 1.2k 1.3× 1.0k 1.4× 280 0.5× 263 1.6× 148 1.2× 154 2.1k
Tiago Pereira Brazil 17 579 0.6× 499 0.7× 344 0.6× 81 0.5× 73 0.6× 46 898
Paul So United States 20 939 1.0× 1.0k 1.4× 767 1.4× 192 1.2× 116 0.9× 35 1.8k
Diego Pazó Spain 20 896 1.0× 633 0.9× 371 0.7× 191 1.2× 59 0.5× 51 1.2k
Toru Ohira Japan 16 494 0.5× 649 0.9× 348 0.6× 164 1.0× 139 1.1× 70 1.3k
Thomas Peron Brazil 14 882 0.9× 568 0.8× 304 0.6× 261 1.6× 118 0.9× 32 1.3k
Soumen Majhi India 21 1.4k 1.6× 1.3k 1.8× 896 1.7× 258 1.6× 109 0.9× 38 2.0k

Countries citing papers authored by I. Leyva

Since Specialization
Citations

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

Fields of papers citing papers by I. Leyva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Leyva

This figure shows the co-authorship network connecting the top 25 collaborators of I. Leyva. A scholar is included among the top collaborators of I. Leyva 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 I. Leyva. I. Leyva 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.
Letellier, Christophe, Ludovico Minati, Jean‐Pierre Barbot, I. Sendiña–Nadal, & I. Leyva. (2025). Flatness-based control for generalized synchronization of chaotic systems with large dissipation and dimension mismatch. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(9).
2.
Leyva, I., Juan A. Almendral, Christophe Letellier, & I. Sendiña–Nadal. (2025). Local Predictors of Explosive Synchronization with Ordinal Methods. Entropy. 27(2). 113–113.
3.
Khalil, Nagi, et al.. (2024). Cooperation transitions in social games induced by aspiration-driven players. Physical review. E. 109(2). 24107–24107. 1 indexed citations
4.
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
5.
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
6.
Letellier, Christophe, I. Sendiña–Nadal, I. Leyva, & Jean‐Pierre Barbot. (2023). Generalized synchronization mediated by a flat coupling between structurally nonequivalent chaotic systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(9). 5 indexed citations
7.
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
8.
Heras, María Fe Laguna, et al.. (2021). Neuronal circuits on a chip for biological network monitoring. Biotechnology Journal. 16(7). e2000355–e2000355. 9 indexed citations
9.
Letellier, Christophe, I. Sendiña–Nadal, Ludovico Minati, & I. Leyva. (2021). Node differentiation dynamics along the route to synchronization in complex networks. Physical review. E. 104(1). 14303–14303. 3 indexed citations
10.
Sevilla-Escoboza, R., et al.. (2020). Complex networks exhibit intermittent synchronization. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(10). 103119–103119. 5 indexed citations
11.
Letellier, Christophe, I. Leyva, & I. Sendiña–Nadal. (2020). Dynamical complexity measure to distinguish organized from disorganized dynamics. Physical review. E. 101(2). 22204–22204. 6 indexed citations
12.
Leyva, I., et al.. (2018). Relay synchronization in multiplex networks. Scientific Reports. 8(1). 8629–8629. 63 indexed citations
13.
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
14.
Leyva, I., R. Sevilla-Escoboza, I. Sendiña–Nadal, et al.. (2017). Inter-layer synchronization in non-identical multi-layer networks. Scientific Reports. 7(1). 45475–45475. 100 indexed citations
15.
Sevilla-Escoboza, R., I. Sendiña–Nadal, I. Leyva, et al.. (2016). Inter-layer synchronization in multiplex networks of identical layers. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(6). 65304–65304. 88 indexed citations
16.
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
17.
Leyva, I., R. Sevilla-Escoboza, Javier M. Buldú, et al.. (2012). Explosive First-Order Transition to Synchrony in Networked Chaotic Oscillators. Physical Review Letters. 108(16). 168702–168702. 149 indexed citations
18.
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
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.
Baptista, Murilo S., Stefano Boccaletti, Krešimir Josić́, & I. Leyva. (2004). Irrational phase synchronization. Physical Review E. 69(5). 56228–56228. 12 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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