Gabriel Bugeda

1.0k total citations
62 papers, 686 citations indexed

About

Gabriel Bugeda is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Gabriel Bugeda has authored 62 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 16 papers in Computational Theory and Mathematics and 15 papers in Civil and Structural Engineering. Recurrent topics in Gabriel Bugeda's work include Advanced Multi-Objective Optimization Algorithms (15 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Topology Optimization in Engineering (12 papers). Gabriel Bugeda is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (15 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Topology Optimization in Engineering (12 papers). Gabriel Bugeda collaborates with scholars based in Spain, China and Australia. Gabriel Bugeda's co-authors include Eugenio Oñate, Jacques Périaux, Jordi Pons‐Prats, Giorgio Chiandussi, E. O�ate, J. Oliver, Sergio Oller, Carlos Morillo, Miguel Cervera and Jean-Paul Bonnet and has published in prestigious journals such as Energy, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Gabriel Bugeda

60 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Bugeda Spain 13 345 171 161 131 88 62 686
Jun Tao China 12 146 0.4× 63 0.4× 182 1.1× 48 0.4× 82 0.9× 27 563
Fernando Lau Portugal 14 227 0.7× 90 0.5× 563 3.5× 120 0.9× 72 0.8× 49 839
Giacomo Frulla Italy 15 111 0.3× 264 1.5× 465 2.9× 221 1.7× 142 1.6× 106 816
G. Y. Li China 18 280 0.8× 507 3.0× 26 0.2× 208 1.6× 149 1.7× 33 823
Jinju Sun China 17 403 1.2× 70 0.4× 221 1.4× 42 0.3× 266 3.0× 71 852
Zhe Wu China 15 86 0.2× 60 0.4× 515 3.2× 82 0.6× 54 0.6× 80 774
Houpu Yao United States 10 49 0.1× 102 0.6× 76 0.5× 177 1.4× 134 1.5× 21 560
Κωνσταντίνος Κώστας Kazakhstan 15 338 1.0× 187 1.1× 40 0.2× 86 0.7× 90 1.0× 46 648
Ioannis Doltsinis Germany 14 145 0.4× 180 1.1× 70 0.4× 325 2.5× 139 1.6× 45 773
Kevin J. Dowding United States 14 145 0.4× 197 1.2× 115 0.7× 67 0.5× 155 1.8× 42 602

Countries citing papers authored by Gabriel Bugeda

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Bugeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Bugeda

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Bugeda. A scholar is included among the top collaborators of Gabriel Bugeda 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 Gabriel Bugeda. Gabriel Bugeda 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.
Bugeda, Gabriel, et al.. (2025). Large-scale horizontal axis wind turbine aerodynamic efficiency optimization using active flow control and synthetic jets. Energy. 319. 134940–134940. 6 indexed citations
2.
Tang, Zhili, et al.. (2024). Multidisciplinary Optimization of Aircraft Aerodynamics for Distributed Propulsion Configurations. Applied Sciences. 14(17). 7781–7781. 1 indexed citations
3.
Horcas, Sergio González, et al.. (2024). Development of a multi-fidelity optimisation strategy based on hybrid methods. Structural and Multidisciplinary Optimization. 67(9). 1 indexed citations
4.
Bergadà, Josep M. & Gabriel Bugeda. (2023). Flow Control, Active and Passive Applications. Applied Sciences. 13(16). 9228–9228. 1 indexed citations
5.
6.
Martínez, Xavier, Jens Bachmann, F. Otero, Sergio Oller, & Gabriel Bugeda. (2022). Novel approach combining two homogenization procedures for the analysis of nonwoven biocomposites. Mechanics of Advanced Materials and Structures. 31(5). 1167–1181. 1 indexed citations
7.
8.
Garcı́a–Berro, E., et al.. (2013). Docencia e investigación: ¿un falso dilema?. Aula Abierta. 41(2). 13–22. 5 indexed citations
9.
Garcı́a–Berro, E., et al.. (2012). Un caso práctico de meta-evaluación docente : el manual de evaluación de la Universidad Politécnica de Cataluña. Aula Abierta. 40(2). 11–24. 4 indexed citations
10.
Pons‐Prats, Jordi, Gabriel Bugeda, Francisco Zárate, & Eugenio Oñate. (2011). Robust design optimization in aeronautics using stochastic analysis and evolutionary algorithms. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 225(10). 1131–1151. 2 indexed citations
11.
Pons‐Prats, Jordi, Gabriel Bugeda, Francisco Zárate, & Eugenio Oñate. (2011). Optimización robusta en aplicaciones aeronáuticas con la combinación de cálculo estocástico y algoritmos evolutivos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 28(1). 18–32. 4 indexed citations
12.
Bugeda, Gabriel, et al.. (2010). La evaluación de la actividad docente del profesorado en el marco del EEES. Aula Abierta. 38(2). 29–39. 20 indexed citations
13.
Bugeda, Gabriel, et al.. (2009). Estrategias e indicadores para la evaluación de la docencia en el marco del EEES. Revista de Investigación en Educación. 6(1). 142–152. 18 indexed citations
14.
Gonzalez, Felipé, et al.. (2009). Design optimisation using advanced artificial intelligent system coupled to hybrid-game strategies. QUT ePrints (Queensland University of Technology). 32(1-2). 39–41. 2 indexed citations
15.
Tang, Zhili, Jacques Périaux, Gabriel Bugeda, & Eugenio Oñate. (2009). Lift maximization with uncertainties for the optimization of high lift devices using Multi-Criterion Evolutionary Algorithms. 2324–2331. 12 indexed citations
16.
Oñate, Eugenio, et al.. (2008). Robust design methods in aerospace engineering. 1 indexed citations
17.
Bugeda, Gabriel. (2002). A comparison between new adaptive remeshing strategies based on point wise stress error estimation and energy norm error estimation. Communications in Numerical Methods in Engineering. 18(7). 469–482. 10 indexed citations
18.
Gil, Lluı́s & Gabriel Bugeda. (2001). A C++ object-oriented programming strategy for the implementation of the finite element sensitivity analysis for a non-linear structural material model. Advances in Engineering Software. 32(12). 927–935. 2 indexed citations
19.
Oñate, Eugenio, et al.. (2000). Desarrollo de un sistema integrado para tratamiento de geometría, generación de malla y datos para el análisis por el método de los elementos finitos. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
20.
Bugeda, Gabriel & J. Oliver. (1993). A general methodology for structural shape optimization problems using automatic adaptive remeshing. International Journal for Numerical Methods in Engineering. 36(18). 3161–3185. 42 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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