Carlos A. Coello Coello
Impact in
- Computational Theory and Mathematics top 0.01%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.01%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Metaheuristic Optimization Algorithms Research 471
- Evolutionary Algorithms and Applications 355
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- Advanced Multi-Objective Optimization Algorithms 467
- Co-authors
- Efrén Mezura‐Montes (36 shared papers)Gary B. Lamont (10 shared papers)David A. Van Veldhuizen (8 shared papers)Ricardo Landa Becerra (22 shared papers)Gregorio Toscano‐Pulido (15 shared papers)Alan D. Christiansen (13 shared papers)Oliver Schütze (22 shared papers)Antonio López Jáimes (17 shared papers)
In The Last Decade
Carlos A. Coello Coello
646 papers receiving 41.8k citations
Carlos A. Coello Coello's Hit Papers
Peers
Comparison fields: 5 of 206
- Computational Theory and Mathematics 24.2k
- Artificial Intelligence 25.1k
- Industrial and Manufacturing Engineering 4.1k
- Management Science and Operations Research 3.9k
- Statistics, Probability and Uncertainty 1.7k
Countries citing papers authored by Carlos A. Coello Coello
This map shows the geographic impact of Carlos A. Coello Coello'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 Carlos A. Coello Coello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos A. Coello Coello more than expected).
Fields of papers citing papers by Carlos A. Coello Coello
This network shows the impact of papers produced by Carlos A. Coello Coello. 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 Carlos A. Coello Coello. The network helps show where Carlos A. Coello Coello may publish in the future.
Co-authors
The 25 scholars most cited alongside Carlos A. Coello Coello, 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 664 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Handling multiple objectives with particle swarm optimization Hit paper breakdown → | 2004 | 3604 |
| 2 | Evolutionary Algorithms for Solving Multi-Objective Problems Hit paper breakdown → | 2002 | 2301 |
| 3 | MOPSO: a proposal for multiple objective particle swarm optimization Hit paper breakdown → | 2002 | 1934 |
| 4 | Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art Hit paper breakdown → | 2002 | 1924 |
| 5 | Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) Hit paper breakdown → | 2006 | 1410 |
| 6 | Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art Hit paper breakdown → | 2006 | 1154 |
| 7 | A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques Hit paper breakdown → | 1999 | 1134 |
| 8 | Evolutionary multi-objective optimization: a historical view of the field Hit paper breakdown → | 2006 | 1114 |
| 9 | Use of a self-adaptive penalty approach for engineering optimization problems Hit paper breakdown → | 2000 | 1107 |
| 10 | Constraint-handling in nature-inspired numerical optimization: Past, present and future Hit paper breakdown → | 2011 | 889 |
| 11 | Solving Multiobjective Optimization Problems Using an Artificial Immune System Hit paper breakdown → | 2005 | 795 |
| 12 | Constraint-handling in genetic algorithms through the use of dominance-based tournament selection Hit paper breakdown → | 2002 | 749 |
| 13 | Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ∈-Dominance Hit paper breakdown → | 2005 | 645 |
| 14 | An updated survey of GA-based multiobjective optimization techniques Hit paper breakdown → | 2000 | 624 |
| 15 | A Simple Multimembered Evolution Strategy to Solve Constrained Optimization Problems Hit paper breakdown → | 2005 | 546 |
| 16 | SMPSO: A new PSO-based metaheuristic for multi-objective optimization Hit paper breakdown → | 2009 | 541 |
| 17 | A comparative study of differential evolution variants for global optimization Hit paper breakdown → | 2006 | 521 |
| 18 | Bio-inspired computation: Where we stand and what's next Hit paper breakdown → | 2019 | 482 |
| 19 | 2004 | 450 | |
| 20 | Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization Hit paper breakdown → | 2012 | 426 |
About Carlos A. Coello Coello
Carlos A. Coello Coello is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 664 papers that have together received 43.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (471 papers), Advanced Multi-Objective Optimization Algorithms (467 papers), Evolutionary Algorithms and Applications (355 papers), Artificial Immune Systems Applications (31 papers), Optimal Experimental Design Methods (29 papers), Topology Optimization in Engineering (28 papers), Scheduling and Optimization Algorithms (22 papers) and Probabilistic and Robust Engineering Design (19 papers). The work is most often cited by research in Computational Theory and Mathematics (24.2k citations), Artificial Intelligence (25.1k citations), Industrial and Manufacturing Engineering (4.1k citations), Management Science and Operations Research (3.9k citations) and Statistics, Probability and Uncertainty (1.7k citations). Carlos A. Coello Coello has collaborated with scholars based in Mexico, Spain and China. Frequent co-authors include Efrén Mezura‐Montes, Gary B. Lamont, David A. Van Veldhuizen, Ricardo Landa Becerra, Gregorio Toscano‐Pulido, Alan D. Christiansen, Oliver Schütze, Antonio López Jáimes, Saúl Zapotecas–Martínez and Susana Cecilia Esquivel. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Information Sciences, Engineering Optimization and Applied Soft Computing.
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.