Jaime Pacheco

1.2k total citations
59 papers, 963 citations indexed

About

Jaime Pacheco is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jaime Pacheco has authored 59 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 13 papers in Artificial Intelligence and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Jaime Pacheco's work include Adaptive Control of Nonlinear Systems (13 papers), Neural Networks and Applications (12 papers) and Advanced Control Systems Optimization (10 papers). Jaime Pacheco is often cited by papers focused on Adaptive Control of Nonlinear Systems (13 papers), Neural Networks and Applications (12 papers) and Advanced Control Systems Optimization (10 papers). Jaime Pacheco collaborates with scholars based in Mexico, France and Chile. Jaime Pacheco's co-authors include José de Jesús Rubio, Genaro Ochoa, Ricardo Balcázar, Enrique García, Jesús Alberto Meda-Campaña, G. Gutiérrez, Alejandro Zacarías, Plamen Angelov, David Ricardo Cruz and Dante Mújica‐Vargas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Jaime Pacheco

56 papers receiving 940 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaime Pacheco Mexico 19 521 273 148 117 102 59 963
Jesús Alberto Meda-Campaña Mexico 21 599 1.1× 309 1.1× 123 0.8× 108 0.9× 199 2.0× 83 1.1k
Gwi-Tae Park South Korea 13 532 1.0× 229 0.8× 305 2.1× 95 0.8× 89 0.9× 99 895
Marius L. Tomescu Romania 12 641 1.2× 305 1.1× 87 0.6× 85 0.7× 154 1.5× 28 936
Ashley Hill France 4 221 0.4× 281 1.0× 161 1.1× 121 1.0× 98 1.0× 7 759
Xinjiang Lu China 18 457 0.9× 262 1.0× 155 1.0× 73 0.6× 53 0.5× 96 1.0k
Genaro Ochoa Mexico 15 304 0.6× 156 0.6× 92 0.6× 81 0.7× 84 0.8× 18 606
Liefa Liao China 17 268 0.5× 173 0.6× 93 0.6× 225 1.9× 120 1.2× 42 813
Qichun Zhang United Kingdom 15 357 0.7× 215 0.8× 89 0.6× 44 0.4× 122 1.2× 66 744
Iuliu Alexandru Zamfirache Canada 9 350 0.7× 235 0.9× 89 0.6× 62 0.5× 92 0.9× 10 713
Lukas Hewing Switzerland 11 1.2k 2.2× 263 1.0× 99 0.7× 148 1.3× 43 0.4× 17 1.6k

Countries citing papers authored by Jaime Pacheco

Since Specialization
Citations

This map shows the geographic impact of Jaime Pacheco'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 Jaime Pacheco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Pacheco more than expected).

Fields of papers citing papers by Jaime Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime Pacheco. 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 Jaime Pacheco. The network helps show where Jaime Pacheco may publish in the future.

Co-authorship network of co-authors of Jaime Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Pacheco. A scholar is included among the top collaborators of Jaime Pacheco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaime Pacheco. Jaime Pacheco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rubio, José de Jesús, et al.. (2024). Observer-based differential evolution constrained control for safe reference tracking in robots. Neural Networks. 175. 106273–106273. 28 indexed citations
2.
Rubio, José de Jesús, et al.. (2024). Stable convolutional neural network for economy applications. Engineering Applications of Artificial Intelligence. 132. 107998–107998. 10 indexed citations
3.
4.
Pacheco, Jaime, et al.. (2023). Dip-coater revolver machine for layer processing on metallic substrates. PÄDI Boletín Científico de Ciencias Básicas e Ingenierías del ICBI. 11. 109–116.
5.
Rubio, José de Jesús, et al.. (2023). Optimized radial basis function network for the fatigue driving modeling. The Journal of Supercomputing. 80(7). 8719–8741. 4 indexed citations
6.
Rubio, José de Jesús, Marco Antonio Islas, Jaime Pacheco, et al.. (2022). Modified Linear Technique for the Controllability and Observability of Robotic Arms. IEEE Access. 10. 3366–3377. 45 indexed citations
7.
Rubio, José de Jesús, V. Garcia, G. Gutiérrez, et al.. (2020). The Perturbations Estimation in Two Gas Plants. IEEE Access. 8. 83081–83091. 26 indexed citations
8.
Rubio, José de Jesús, Jaime Pacheco, G. Gutiérrez, et al.. (2020). Novel Nonlinear Hypothesis for the Delta Parallel Robot Modeling. IEEE Access. 8. 46324–46334. 70 indexed citations
9.
Rubio, José de Jesús, Jesús Alberto Meda-Campaña, V. Garcia, et al.. (2020). Movable and immovable magnets for two machines. International Journal of Applied Electromagnetics and Mechanics. 63(2). 229–248. 1 indexed citations
10.
Rubio, José de Jesús, et al.. (2017). Sliding Mode Regulator for the Perturbations Attenuation in Two Tank Plants. IEEE Access. 5. 20504–20511. 12 indexed citations
11.
Rubio, José de Jesús, Genaro Ochoa, Ricardo Balcázar, & Jaime Pacheco. (2015). Uniform stable observer for the disturbance estimation in two renewable energy systems. ISA Transactions. 58. 155–164. 42 indexed citations
12.
Pérez-Cruz, J. Humberto, Isaac Chaírez, José de Jesús Rubio, & Jaime Pacheco. (2013). Identification and control of class of non‐linear systems with non‐symmetric deadzone using recurrent neural networks. IET Control Theory and Applications. 8(3). 183–192. 32 indexed citations
13.
Rubio, José de Jesús, et al.. (2013). Proportional Derivative Control with Inverse Dead-Zone for Pendulum Systems. Mathematical Problems in Engineering. 2013. 1–9. 21 indexed citations
14.
Gómez‐Aguilar, J. F., et al.. (2012). Electromagnetic Transient Analysis of Networks Described by Equations of Fractional Order. 3(6). 1 indexed citations
15.
Rubio, José de Jesús, Jaime Pacheco, J. Humberto Pérez-Cruz, & Francisco Torres. (2012). Mathematical model with sensor and actuator for a transelevator. Neural Computing and Applications. 24(2). 277–285. 8 indexed citations
16.
Rubio, José de Jesús, et al.. (2011). Comparison of three proposed controls to accelerate the growth of the crop. International journal of innovative computing, information & control. 7. 4097–4114. 8 indexed citations
17.
Rubio, José de Jesús, et al.. (2011). OBSERVER DESIGN BASED IN THE MATHEMATICAL MODEL OF A WIND TURBINE. International journal of innovative computing, information & control. 6711–6725. 9 indexed citations
18.
Rubio, José de Jesús, Plamen Angelov, & Jaime Pacheco. (2011). Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network. IEEE Transactions on Neural Networks. 22(3). 356–366. 76 indexed citations
19.
Rubio, José de Jesús, et al.. (2011). Mathematical Model of Low-Pass Filters. Recent Patents on Engineering. 5(2). 155–162. 1 indexed citations
20.
Pacheco, Jaime, et al.. (2004). Almost rejection of internal structural variations in linear systems. 1. 116–121. 3 indexed citations

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.

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