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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- stochastic dynamics and bifurcation 16
- Chaos control and synchronization 11
- Complex Network Analysis Techniques 5
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- Nonlinear Dynamics and Pattern Formation 41
- Neural Networks Stability and Synchronization 11
- Co-authors
- I. Sendiña–Nadal (39 shared papers)Stefano Boccaletti (25 shared papers)Javier M. Buldú (16 shared papers)Juan A. Almendral (26 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
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 88
- Statistical and Nonlinear Physics 722
- Computer Networks and Communications 931
- Cognitive Neuroscience 538
- Biomedical Engineering 163
- Experimental and Cognitive Psychology 43
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 149 | |
| 2 | 2017 | 100 | |
| 3 | 2011 | 99 | |
| 4 | 2013 | 92 | |
| 5 | 2016 | 88 | |
| 6 | 2013 | 84 | |
| 7 | 2008 | 84 | |
| 8 | 2010 | 75 | |
| 9 | 2018 | 63 | |
| 10 | 2006 | 43 | |
| 11 | 2018 | 41 | |
| 12 | 2022 | 38 | |
| 13 | 2014 | 35 | |
| 14 | 2019 | 34 | |
| 15 | 2010 | 27 | |
| 16 | 2006 | 27 | |
| 17 | 2015 | 26 | |
| 18 | 2019 | 25 | |
| 19 | 2000 | 21 | |
| 20 | 2008 | 19 |
About I. Leyva
I. Leyva is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Biophysics and Physical and Theoretical Chemistry, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (41 papers), Neural dynamics and brain function (23 papers), stochastic dynamics and bifurcation (16 papers), Neural Networks Stability and Synchronization (11 papers), Chaos control and synchronization (11 papers), Laser Design and Applications (6 papers), Semiconductor Lasers and Optical Devices (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (722 citations), Computer Networks and Communications (931 citations), Cognitive Neuroscience (538 citations), Biomedical Engineering (163 citations) and Experimental and Cognitive Psychology (43 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, Physical Review A, Physical Review Letters and Chaos Solitons & Fractals.
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.