D. López-Mancilla
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- Chaos control and synchronization 16
- stochastic dynamics and bifurcation 2
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- Chaos-based Image/Signal Encryption 7
- Advanced Steganography and Watermarking Techniques 2
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- Nonlinear Dynamics and Pattern Formation 12
- Neural Networks Stability and Synchronization 4
- Transportation top 10%
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- Neural Networks and Applications 3
- Neural Networks and Reservoir Computing 2
- Co-authors
- Esteban Tlelo‐CuautleOscar Roberto López-BonillaEnrique Efrén García-GuerreroEverardo Inzunza-GonzálezC. Cruz-HernándezRoger ChiuJuan Hugo García-LópezCarlos E. Castañeda
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Neurocomputing (1 paper)
In The Last Decade
D. López-Mancilla
27 papers receiving 456 citations
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 202
- Computer Vision and Pattern Recognition 154
- Computer Networks and Communications 140
- Transportation 30
- Internal Medicine 16
Countries citing papers authored by D. López-Mancilla
This map shows the geographic impact of D. López-Mancilla'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 D. López-Mancilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. López-Mancilla more than expected).
Fields of papers citing papers by D. López-Mancilla
This network shows the impact of papers produced by D. López-Mancilla. 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 D. López-Mancilla. The network helps show where D. López-Mancilla may publish in the future.
Co-authorship network
The 19 scholars most cited alongside D. López-Mancilla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 13 | |
| 3 | 2022 | 35 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 28 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 21 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 3 | |
| 12 | 2016 | 5 | |
| 13 | 2013 | 2 | |
| 14 | 2013 | 31 | |
| 15 | 2012 | 0 | |
| 16 | 2010 | 7 | |
| 17 | 2008 | 8 | |
| 18 | 2006 | 21 | |
| 19 | 2005 | 21 | |
| 20 | 2005 | 7 |
About D. López-Mancilla
D. López-Mancilla is a scholar working on Statistical and Nonlinear Physics, Internal Medicine and Computer Networks and Communications, having authored 29 papers that have together received 474 indexed citations. Recurring topics across this work include Chaos control and synchronization (16 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Chaos-based Image/Signal Encryption (7 papers), Neural Networks Stability and Synchronization (4 papers), Neural Networks and Applications (3 papers), Neural Networks and Reservoir Computing (2 papers), stochastic dynamics and bifurcation (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (202 citations), Computer Vision and Pattern Recognition (154 citations) and Computer Networks and Communications (140 citations). D. López-Mancilla has collaborated with scholars based in Mexico, Spain and Russia. Frequent co-authors include Esteban Tlelo‐Cuautle, Oscar Roberto López-Bonilla, Enrique Efrén García-Guerrero, Everardo Inzunza-González, C. Cruz-Hernández, Roger Chiu, Juan Hugo García-López, Carlos E. Castañeda, R. Jaimes-Reátegui and C. Posadas–Castillo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurocomputing.
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.