Erick Cantú‐Paz
Impact in
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Evolutionary Algorithms and Applications 33
- Metaheuristic Optimization Algorithms Research 32
- Neural Networks and Applications 7
- Algorithms and Data Compression 5
- Machine Learning and Data Classification 4
- Bayesian Modeling and Causal Inference 3
-
- Advanced Multi-Objective Optimization Algorithms 10
- Co-authors
- David E. Goldberg (11 shared papers)Martin Pelikán (6 shared papers)Chandrika Kamath (12 shared papers)Brad L. Miller (2 shared papers)Kumara Sastry (3 shared papers)Haibin Cheng (1 shared paper)Daria Sorokina (1 shared paper)Shawn D. Newsam (1 shared paper)
- Journals
- Evolutionary Computation (3 papers)Parallel Computing (1 paper)Journal of Heuristics (1 paper)Information Retrieval (1 paper)Neural Networks (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Erick Cantú‐Paz
64 papers receiving 4.4k citations
Erick Cantú‐Paz's Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 3.2k
- Computational Theory and Mathematics 1.3k
- Industrial and Manufacturing Engineering 409
- Management Science and Operations Research 269
- Computer Networks and Communications 511
Countries citing papers authored by Erick Cantú‐Paz
This map shows the geographic impact of Erick Cantú‐Paz'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 Erick Cantú‐Paz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Cantú‐Paz more than expected).
Fields of papers citing papers by Erick Cantú‐Paz
This network shows the impact of papers produced by Erick Cantú‐Paz. 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 Erick Cantú‐Paz. The network helps show where Erick Cantú‐Paz may publish in the future.
Co-authors
The 25 scholars most cited alongside Erick Cantú‐Paz, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BOA: the Bayesian optimization algorithm Hit paper breakdown → | 1999 | 759 |
| 2 | A Survey of Parallel Genetic Algorithms Hit paper breakdown → | 2000 | 728 |
| 3 | Efficient and Accurate Parallel Genetic Algorithms Hit paper breakdown → | 2001 | 725 |
| 4 | 1999 | 261 | |
| 5 | 2000 | 257 | |
| 6 | 2001 | 159 | |
| 7 | 2000 | 130 | |
| 8 | 2005 | 129 | |
| 9 | Scalable optimization via probabilistic modeling : from algorithms to applications | 2006 | 122 |
| 10 | 2002 | 99 | |
| 11 | 2010 | 97 | |
| 12 | Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence) | 2006 | 89 |
| 13 | Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence | 2000 | 78 |
| 14 | Topologies, migration rates, and multi-population parallel genetic algorithms | 1999 | 75 |
| 15 | 2004 | 68 | |
| 16 | 2004 | 67 | |
| 17 | 1999 | 66 | |
| 18 | Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation | 2002 | 61 |
| 19 | Designing Efficient and Accurate Parallel Genetic Algorithms | 1999 | 56 |
| 20 | 2003 | 54 |
About Erick Cantú‐Paz
Erick Cantú‐Paz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 64 papers that have together received 4.8k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (33 papers), Metaheuristic Optimization Algorithms Research (32 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Neural Networks and Applications (7 papers), Data Mining Algorithms and Applications (5 papers), Algorithms and Data Compression (5 papers), Machine Learning and Data Classification (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Computational Theory and Mathematics (1.3k citations), Industrial and Manufacturing Engineering (409 citations), Management Science and Operations Research (269 citations) and Computer Networks and Communications (511 citations). Erick Cantú‐Paz has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include David E. Goldberg, Martin Pelikán, Chandrika Kamath, Brad L. Miller, Kumara Sastry, Haibin Cheng, Daria Sorokina, Shawn D. Newsam, Eren Manavoglu and Wanhong Xu. Their work appears in journals such as Evolutionary Computation, Parallel Computing, Journal of Heuristics, Information Retrieval and Neural Networks.
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.