Gabriel Luque
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Algorithms and Data Compression
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 40
- Evolutionary Algorithms and Applications 23
- Algorithms and Data Compression 10
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- Advanced Multi-Objective Optimization Algorithms 21
- Co-authors
- Enrique Alba (75 shared papers)Sergio Nesmachnow (2 shared papers)Francisco Chicano (15 shared papers)Francisco Luna (6 shared papers)Guillermo Leguizamón (1 shared paper)José García-Nieto (1 shared paper)Lourdes Araujo (2 shared papers)Stefka Fidanova (7 shared papers)
In The Last Decade
Gabriel Luque
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 718
- Computational Theory and Mathematics 318
- Industrial and Manufacturing Engineering 194
- Computer Networks and Communications 238
- Hardware and Architecture 69
Countries citing papers authored by Gabriel Luque
This map shows the geographic impact of Gabriel Luque'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 Luque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Luque more than expected).
Fields of papers citing papers by Gabriel Luque
This network shows the impact of papers produced by Gabriel Luque. 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 Luque. The network helps show where Gabriel Luque may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Luque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 239 | |
| 2 | 2011 | 97 | |
| 3 | 2011 | 85 | |
| 4 | 2007 | 65 | |
| 5 | 2006 | 54 | |
| 6 | 2007 | 49 | |
| 7 | 2007 | 33 | |
| 8 | 2005 | 29 | |
| 9 | 2011 | 27 | |
| 10 | 2006 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2019 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2015 | 21 | |
| 15 | Evaluation of parallel metaheuristics | 2006 | 20 |
| 16 | 2008 | 20 | |
| 17 | 2008 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2007 | 16 | |
| 20 | 2004 | 16 |
About Gabriel Luque
Gabriel Luque is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Industrial and Manufacturing Engineering and Molecular Biology, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (40 papers), Evolutionary Algorithms and Applications (23 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), Scheduling and Optimization Algorithms (11 papers), Algorithms and Data Compression (10 papers), Vehicle Routing Optimization Methods (10 papers), Scheduling and Timetabling Solutions (9 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Artificial Intelligence (718 citations), Computational Theory and Mathematics (318 citations), Industrial and Manufacturing Engineering (194 citations), Computer Networks and Communications (238 citations) and Hardware and Architecture (69 citations). Gabriel Luque has collaborated with scholars based in Spain, Bulgaria and Argentina. Frequent co-authors include Enrique Alba, Sergio Nesmachnow, Francisco Chicano, Francisco Luna, Guillermo Leguizamón, José García-Nieto, Lourdes Araujo, Stefka Fidanova, Olympia Roeva and Antonio J. Nebro. Their work appears in journals such as Soft Computing, Swarm and Evolutionary Computation, Applied Soft Computing, Parallel Computing and Lecture notes in computer science.
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.