I. Leyva
Impact in
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- stochastic dynamics and bifurcation
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Nonlinear Dynamics and Pattern Formation 41
- Neural Networks Stability and Synchronization 11
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- stochastic dynamics and bifurcation 16
- Chaos control and synchronization 11
- Complex Network Analysis Techniques 5
- Co-authors
- I. Sendiña–Nadal (40 shared papers)Stefano Boccaletti (26 shared papers)Javier M. Buldú (16 shared papers)Juan A. Almendral (27 shared papers)R. Sevilla-Escoboza (6 shared papers)A. Navas (5 shared papers)Ricardo Gutiérrez (3 shared papers)E. Allaria (8 shared papers)
In The Last Decade
I. Leyva
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Statistical and Nonlinear Physics 750
- Computer Networks and Communications 964
- Cognitive Neuroscience 550
- Biomedical Engineering 167
- Cellular and Molecular Neuroscience 58
Countries citing papers authored by I. Leyva
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
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-authors
The 25 scholars most cited alongside I. Leyva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 150 | |
| 2 | 2011 | 107 | |
| 3 | 2017 | 102 | |
| 4 | 2013 | 92 | |
| 5 | 2013 | 91 | |
| 6 | 2016 | 90 | |
| 7 | 2008 | 90 | |
| 8 | 2010 | 76 | |
| 9 | 2018 | 64 | |
| 10 | 2018 | 44 | |
| 11 | 2006 | 43 | |
| 12 | 2022 | 40 | |
| 13 | 2014 | 38 | |
| 14 | 2019 | 35 | |
| 15 | 2006 | 30 | |
| 16 | 2010 | 30 | |
| 17 | 2015 | 27 | |
| 18 | 2019 | 26 | |
| 19 | 2000 | 21 | |
| 20 | 2003 | 20 |
About I. Leyva
I. Leyva is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cognitive Neuroscience, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (41 papers), Neural dynamics and brain function (24 papers), stochastic dynamics and bifurcation (16 papers), Chaos control and synchronization (11 papers), Neural Networks Stability and Synchronization (11 papers), Semiconductor Lasers and Optical Devices (6 papers), Laser Design and Applications (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (750 citations), Computer Networks and Communications (964 citations), Cognitive Neuroscience (550 citations), Biomedical Engineering (167 citations) and Cellular and Molecular Neuroscience (58 citations). I. Leyva has collaborated with scholars based in Spain, Italy and Mexico. Frequent 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. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, Chaos Solitons & Fractals, Physical Review Letters and PLoS ONE.
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.