E. G. Hernández-Martínez
- Modeling and Simulation top 5%
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- Distributed Control Multi-Agent Systems 32
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- Adaptive Control of Nonlinear Systems 12
- Control and Dynamics of Mobile Robots 11
- Advanced Control Systems Design 4
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- Robotic Path Planning Algorithms 8
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- Modular Robots and Swarm Intelligence 15
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- Mathematical and Theoretical Epidemiology and Ecology Models 6
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- UAV Applications and Optimization 4
E. G. Hernández-Martínez
56 papers receiving 483 citations
Peers
Comparison fields: 5 of 75
- Modeling and Simulation 77
- Computer Networks and Communications 237
- Control and Systems Engineering 238
- Computer Vision and Pattern Recognition 80
- Energy Engineering and Power Technology 11
Countries citing papers authored by E. G. Hernández-Martínez
This map shows the geographic impact of E. G. Hernández-Martínez'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 E. G. Hernández-Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. G. Hernández-Martínez more than expected).
Fields of papers citing papers by E. G. Hernández-Martínez
This network shows the impact of papers produced by E. G. Hernández-Martínez. 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 E. G. Hernández-Martínez. The network helps show where E. G. Hernández-Martínez may publish in the future.
Co-authorship network
The 19 scholars most cited alongside E. G. Hernández-Martínez, 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 | 2025 | 6 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 49 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 1 | |
| 17 | 2017 | 48 | |
| 18 | 2016 | 2 | |
| 19 | 2014 | 3 | |
| 20 | 2013 | 6 |
About E. G. Hernández-Martínez
E. G. Hernández-Martínez is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Modeling and Simulation, having authored 63 papers that have together received 496 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (32 papers), Modular Robots and Swarm Intelligence (15 papers), Adaptive Control of Nonlinear Systems (12 papers), Control and Dynamics of Mobile Robots (11 papers), Robotic Path Planning Algorithms (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Advanced Control Systems Design (4 papers) and UAV Applications and Optimization (4 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Computer Networks and Communications (237 citations) and Control and Systems Engineering (238 citations). E. G. Hernández-Martínez has collaborated with scholars based in Mexico, Uruguay and Colombia. Frequent co-authors include Guillermo Fernández‐Anaya, E. Aranda-Bricaire, Enrique Ferreira, Mario Ramírez‐Neria, Jesús Alberto Meda-Campaña, Emilio González‐Parra, Ricardo Villa‐Bellosta, Alejandro Ramirez‐Serrano, Rafał Madoński and Alberto Luviano‐Juárez. Their work appears in journals such as Scientific Reports, Automatica and Sensors.
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.