Enrique Castillo

11.1k total citations · 1 hit paper
245 papers, 7.6k citations indexed

About

Enrique Castillo is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Enrique Castillo has authored 245 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Statistics, Probability and Uncertainty, 56 papers in Artificial Intelligence and 51 papers in Statistics and Probability. Recurrent topics in Enrique Castillo's work include Probabilistic and Robust Engineering Design (71 papers), Fatigue and fracture mechanics (41 papers) and Statistical Distribution Estimation and Applications (25 papers). Enrique Castillo is often cited by papers focused on Probabilistic and Robust Engineering Design (71 papers), Fatigue and fracture mechanics (41 papers) and Statistical Distribution Estimation and Applications (25 papers). Enrique Castillo collaborates with scholars based in Spain, United States and Egypt. Enrique Castillo's co-authors include Ali S. Hadi, James Pickands, José María Menéndez, Alfonso Fernández‐Canteli, José Marı́a Sarabia, Barry C. Arnold, Pilar Jiménez, Roberto Mı́nguez, Santos Sánchez‐Cambronero and José Manuel Gutiérrez and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Journal of Applied Physics.

In The Last Decade

Enrique Castillo

236 papers receiving 7.1k citations

Hit Papers

Extreme Value Theory in E... 1989 2026 2001 2013 1989 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Enrique Castillo 1.4k 1.3k 1.3k 1.2k 1.2k 245 7.6k
Jerome Sacks 1.4k 1.0× 3.6k 2.7× 94 0.1× 771 0.7× 209 0.2× 66 9.6k
Dimitri N. Mavris 646 0.5× 1.9k 1.5× 163 0.1× 501 0.4× 296 0.3× 1.2k 10.0k
George C. Runger 1.5k 1.1× 4.4k 3.3× 88 0.1× 537 0.5× 308 0.3× 183 10.7k
Sankaran Mahadevan 1.5k 1.1× 7.9k 6.0× 141 0.1× 4.9k 4.2× 675 0.6× 521 18.1k
Bilal M. Ayyub 249 0.2× 1.6k 1.2× 142 0.1× 2.6k 2.2× 743 0.6× 243 5.2k
Deb Kalyanmoy 3.4k 2.5× 652 0.5× 129 0.1× 1.1k 0.9× 441 0.4× 7 11.0k
Kaisa Miettinen 3.1k 2.3× 655 0.5× 121 0.1× 556 0.5× 241 0.2× 198 9.1k
E.H. Mamdani 5.6k 4.1× 153 0.1× 317 0.2× 470 0.4× 600 0.5× 57 10.3k
Ying Sun 2.1k 1.6× 347 0.3× 154 0.1× 263 0.2× 325 0.3× 372 7.4k
Leon S. Lasdon 452 0.3× 265 0.2× 217 0.2× 851 0.7× 205 0.2× 101 7.3k

Countries citing papers authored by Enrique Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrique Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Castillo. A scholar is included among the top collaborators of Enrique Castillo 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 Enrique Castillo. Enrique Castillo 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.
Fernández‐Canteli, Alfonso, et al.. (2025). Unitary phenomenological approach to the fatigue crack growth curve based on the analytical definition of the a-N curve. International Journal of Fatigue. 202. 109207–109207.
2.
Cifuentes, Héctor, et al.. (2017). Fitting the fracture curve of concrete as a density function pertaining to the generalized extreme value family. Materials & Design. 129. 201–209. 8 indexed citations
3.
Castillo, Enrique. (2013). On the Qualities of a Leading Journal. Computer-Aided Civil and Infrastructure Engineering. 28(9). 649–650. 1 indexed citations
4.
Fernández‐Canteli, Alfonso, et al.. (2013). 160 Towards a probabilistic concept of the Kitagawa-Takahashi diagram. Gruppo Italiano Frattura Digital Repository (Gruppo Italiano Frattura). 2 indexed citations
5.
Castillo, Enrique, et al.. (2008). Introduction. Computer-Aided Civil and Infrastructure Engineering. 23(2). 75–75.
6.
Castillo, Enrique, Bertha Guijarro‐Berdiñas, Óscar Fontenla-Romero, & Amparo Alonso‐Betanzos. (2006). A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. Journal of Machine Learning Research. 7(42). 1159–1182. 85 indexed citations
7.
Sánchez‐Maroño, Noelia, Amparo Alonso‐Betanzos, & Enrique Castillo. (2005). a new wrapper method for feature subset selection.. The European Symposium on Artificial Neural Networks. 515–520. 8 indexed citations
8.
Castillo, Enrique. (2005). Extreme value and related models with applications in engineering and science. Wiley eBooks. 238 indexed citations
9.
Sarabia, José Marı́a & Enrique Castillo. (2005). About a class of max-stable families with applications to income distributions. METRON. 505–527. 14 indexed citations
10.
Sarabia, José Marı́a, Enrique Castillo, Emilio Gómez–Déniz, & Francisco José Vázquez Polo. (2005). A Class of Conjugate Priors for Log-Normal Claims Based on Conditional Specification. SSRN Electronic Journal. 1 indexed citations
11.
Alonso‐Betanzos, Amparo, Enrique Castillo, Óscar Fontenla-Romero, & Noelia Sánchez‐Maroño. (2004). Shear Strength Prediction using Dimensional Analysis and Functional Networks. 82(1). 251–256. 3 indexed citations
12.
Fontenla-Romero, Óscar, Deniz Erdoğmuş, José C. Prı́ncipe, Amparo Alonso‐Betanzos, & Enrique Castillo. (2003). Accelerating the convergence speed of neural networks learning methods using least squares.. The European Symposium on Artificial Neural Networks. 255–260. 11 indexed citations
13.
Arnold, Barry C., Enrique Castillo, & José Marı́a Sarabia. (2001). A MULTIVARIATE VERSION OF STEIN'S IDENTITY WITH APPLICATIONS TO MOMENT CALCULATIONS AND ESTIMATION OF CONDITIONALLY SPECIFIED DISTRIBUTIONS. Communication in Statistics- Theory and Methods. 30(12). 2517–2542. 11 indexed citations
14.
Castillo, Enrique, et al.. (2001). REGRESSION DIAGNOSTICS FOR THE LEAST ABSOLUTE DEVIATIONS AND THE MINIMAX METHODS. Communication in Statistics- Theory and Methods. 30(6). 1197–1225. 2 indexed citations
15.
Castillo, Enrique, José Manuel Gutiérrez, & Ali S. Hadi. (1998). Improving Search-Based Inference in Bayesian Networks. The Florida AI Research Society. 405–409.
16.
Castillo, Enrique, José María Gutiérrez Martínez, & Ali S. Hadi. (1996). Expert Systems and Probabiistic Network Models. Springer eBooks. 95 indexed citations
17.
Castillo, Enrique, José Manuel Gutiérrez, & Ali S. Hadi. (1996). Goal oriented symbolic propagation in Bayesian networks. National Conference on Artificial Intelligence. 1263–1268. 9 indexed citations
18.
Bouckaert, Remco, Enrique Castillo, & José Manuel Gutiérrez. (1996). A modified simulation scheme for inference in Bayesian networks. International Journal of Approximate Reasoning. 14(1). 55–80. 21 indexed citations
19.
Castillo, Enrique & Ali S. Hadi. (1995). Modeling Lifetime Data with Application to Fatigue Models. Journal of the American Statistical Association. 90(431). 1041–1054. 35 indexed citations
20.
Castillo, Enrique & José Marı́a Sarabia. (1990). Bivariate distributions with second kind beta conditionals. Communication in Statistics- Theory and Methods. 19(9). 3433–3445. 8 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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