Jaime Pacheco

94 total papers · 1.2k total citations
61 papers, 961 citations indexed

About

Jaime Pacheco is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Jaime Pacheco has authored 61 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 13 papers in Artificial Intelligence and 12 papers in Mechanical Engineering. Recurrent topics in Jaime Pacheco's work include Adaptive Control of Nonlinear Systems (14 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 (14 papers), Neural Networks and Applications (12 papers) and Advanced Control Systems Optimization (10 papers). Jaime Pacheco collaborates with scholars based in Mexico, France and United Kingdom. Jaime Pacheco's co-authors include José de Jesús Rubio, Genaro Ochoa, Ricardo Balcázar, Enrique García, Jesús Alberto Meda-Campaña, G. Gutiérrez, Alejandro Zacarías, David Ricardo Cruz, Plamen Angelov 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

58 papers receiving 937 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jaime Pacheco	528	272	146	121	107	61	961
Hung‐Yuan Chung	663 1.3×	336 1.2×	123 0.8×	129 1.1×	81 0.8×	66	1.1k
Alexandra-Iulia Szedlak-Stinean	443 0.8×	360 1.3×	127 0.9×	101 0.8×	114 1.1×	67	946
Gwi-Tae Park	532 1.0×	229 0.8×	304 2.1×	95 0.8×	89 0.8×	99	894
Jesús Alberto Meda-Campaña	599 1.1×	308 1.1×	123 0.8×	108 0.9×	198 1.9×	83	1.1k
Claudiu Pozna	398 0.8×	361 1.3×	148 1.0×	209 1.7×	110 1.0×	77	1.0k
Khalid A. Alattas	525 1.0×	183 0.7×	137 0.9×	103 0.9×	135 1.3×	62	931
Yunpeng Pan	372 0.7×	269 1.0×	99 0.7×	130 1.1×	92 0.9×	47	889
Önder Tutsoy	403 0.8×	204 0.8×	88 0.6×	175 1.4×	103 1.0×	44	934
Chih‐Min Lin	544 1.0×	377 1.4×	86 0.6×	142 1.2×	170 1.6×	71	1.0k
Zhi‐gang Su	523 1.0×	274 1.0×	117 0.8×	74 0.6×	60 0.6×	71	964

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

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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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