Guillermo Leguizamón
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Enrique AlbaZbigniew MichalewiczJosé García-NietoCarlos A. Coello CoelloEfrén Mezura‐MontesGabriel LuqueNeal WagnerJuan A. Fraire
- Topics
- Metaheuristic Optimization Algorithms Research (28 papers)Evolutionary Algorithms and Applications (17 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesIEEE Transactions on Evolutionary Computation
In The Last Decade
Guillermo Leguizamón
47 papers receiving 632 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 418
- Computational Theory and Mathematics 189
- Molecular Biology 124
- Industrial and Manufacturing Engineering 112
- Computer Networks and Communications 105
Countries citing papers authored by Guillermo Leguizamón
This map shows the geographic impact of Guillermo Leguizamón'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 Guillermo Leguizamón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Leguizamón more than expected).
Fields of papers citing papers by Guillermo Leguizamón
This network shows the impact of papers produced by Guillermo Leguizamón. 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 Guillermo Leguizamón. The network helps show where Guillermo Leguizamón may publish in the future.
Co-authorship network of co-authors of Guillermo Leguizamón
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Leguizamón. A scholar is included among the top collaborators of Guillermo Leguizamón 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 Guillermo Leguizamón. Guillermo Leguizamón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Particle Swarm Optimization with Adaptive Inertia Weight using Fuzzy Logic for Large-Scale Problems | 0 |
| 2 | Multicore Parallelization of CHC for Optimal Aerogenerator Placement in Wind Farms | 1 |
| 3 | Algoritmos de inteligencia de enjambres orientados a Map Reduce | 1 |
| 4 | Hybridization of Differential Evolution using Hill Climbing to solve Constrained Optimization Problems | 10 |
| 5 | A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation | 2 |
| 6 | Hibridación de Evolución Diferencial utilizando Hill Climbing para resolver problemas de optimizaci´on con restricciones | 2 |
| 7 | DE-SVMRank: a differential evolution algorithm with a rank-based feature selection process for microarray data classification | 1 |
| 8 | Cellular gas with active components of PSO: mutation and crossover | 1 |
| 9 | Hybrid PSO Algorithms for Dynamic Clustering. | 0 |
| 10 | External memory in a hybrid ant colony system for a 2D strip packing | 1 |
| 11 | An ACO approach for the Parallel Machines Scheduling Problem | 1 |
| 12 | Repositorio de Objetos de Aprendizaje: propuesta de diseño | 0 |
| 13 | Repositorio de objetos de aprendizaje para carreras informáticas | 4 |
| 14 | Algoritmos evolutivos y su aplicabilidad en la tarea de clasificación | 0 |
| 15 | Generación de contenidos de aprendizaje estandarizados para plataformas de e-learning | 2 |
| 16 | Parallel ant algorithms for the minimum tardy task problem | 4 |
| 17 | Aplicación de un estándar de contenidos de aprendizaje en plataformas virtuales de código abierto | 4 |
| 18 | Plataformas virtuales de código abierto: grilla para su evaluación | 0 |
| 19 | Representaciones indirectas en algoritmos genéticos y la alcanzabilidad de schedules semi-activos | 0 |
| 20 | An ant system for the maximum independent set problem | 13 |
About Guillermo Leguizamón
Guillermo Leguizamón is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Science Applications, having authored 56 papers that have together received 667 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (17 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). The work is most often cited by research in Artificial Intelligence (418 citations), Computational Theory and Mathematics (189 citations) and Industrial and Manufacturing Engineering (112 citations). Guillermo Leguizamón has collaborated with scholars based in Argentina, Spain and Mexico. Frequent co-authors include Enrique Alba, Zbigniew Michalewicz, José García-Nieto, Carlos A. Coello Coello, Efrén Mezura‐Montes, Gabriel Luque, Neal Wagner, Juan A. Fraire, Pablo G. Madoery and Jorge M. Finochietto. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and IEEE Transactions on Evolutionary Computation.
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.