Daniel Melchor‐Aguilar
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- Stability and Control of Uncertain Systems 21
- Stability and Controllability of Differential Equations 19
- Numerical Analysis top 5%
- Numerical methods for differential equations 6
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- Neural Networks Stability and Synchronization 10
- Network Traffic and Congestion Control 8
- Applied Mathematics top 5%
- Nonlinear Differential Equations Analysis 7
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- Quantum chaos and dynamical systems 6
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- Advanced Differential Equations and Dynamical Systems 6
- Co-authors
- Vladimir L. KharitonovSilviu‐Iulian NiculescuSabine MondiéR. LozanoWim MichielsDeniz ÜstebayHitay ÖzbayHakkı Ulaş Ünal
- Journals
- IEEE Transactions on Automatic Control (2 papers)Automatica (1 paper)Journal of the Franklin Institute (2 papers)
- Partner nations
- MexicoFranceUnited States
In The Last Decade
Daniel Melchor‐Aguilar
41 papers receiving 579 citations
Peers
Comparison fields: 5 of 35
- Control and Systems Engineering 455
- Numerical Analysis 93
- Computer Networks and Communications 293
- Applied Mathematics 96
- Statistical and Nonlinear Physics 89
Countries citing papers authored by Daniel Melchor‐Aguilar
This map shows the geographic impact of Daniel Melchor‐Aguilar'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 Daniel Melchor‐Aguilar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Melchor‐Aguilar more than expected).
Fields of papers citing papers by Daniel Melchor‐Aguilar
This network shows the impact of papers produced by Daniel Melchor‐Aguilar. 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 Daniel Melchor‐Aguilar. The network helps show where Daniel Melchor‐Aguilar may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Daniel Melchor‐Aguilar, 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 | 3 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 3 | |
| 4 | 2019 | 8 | |
| 5 | 2018 | 10 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 8 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 33 | |
| 10 | 2013 | 12 | |
| 11 | 2011 | 23 | |
| 12 | 2011 | 27 | |
| 13 | 2010 | 35 | |
| 14 | 2008 | 51 | |
| 15 | 2007 | 3 | |
| 16 | 2006 | 38 | |
| 17 | 2006 | 4 | |
| 18 | 2003 | 2 | |
| 19 | 2003 | 15 | |
| 20 | 2000 | 96 |
About Daniel Melchor‐Aguilar
Daniel Melchor‐Aguilar is a scholar working on Control and Systems Engineering, Numerical Analysis and Computer Networks and Communications, having authored 41 papers that have together received 597 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (21 papers), Stability and Controllability of Differential Equations (19 papers), Neural Networks Stability and Synchronization (10 papers), Network Traffic and Congestion Control (8 papers), Nonlinear Differential Equations Analysis (7 papers), Advanced Differential Equations and Dynamical Systems (6 papers), Numerical methods for differential equations (6 papers) and Quantum chaos and dynamical systems (6 papers). The work is most often cited by research in Control and Systems Engineering (455 citations), Numerical Analysis (93 citations) and Computer Networks and Communications (293 citations). Daniel Melchor‐Aguilar has collaborated with scholars based in Mexico, France and United States. Frequent co-authors include Vladimir L. Kharitonov, Silviu‐Iulian Niculescu, Sabine Mondié, R. Lozano, Wim Michiels, Deniz Üstebay, Hitay Özbay, Hakkı Ulaş Ünal and Rogelio Lozano. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Journal of the Franklin Institute.
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.