Enrique Del Castillo
- Statistics, Probability and Uncertainty top 0.05%
- Management Science and Operations Research top 0.5%
- Control and Systems Engineering top 1%
- Industrial and Manufacturing Engineering top 0.5%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Douglas C. MontgomeryArnon HurwitzBianca Maria ColosimoJohn J. PetersonJinn‐Yi YehJeffery K. CochranGeorge C. RungerRong Pan
- Topics
- Advanced Statistical Process Monitoring (62 papers)Optimal Experimental Design Methods (44 papers)Advanced Multi-Objective Optimization Algorithms (27 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
- Partner nations
- United StatesItalySpain
In The Last Decade
Enrique Del Castillo
139 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 149
- Statistics, Probability and Uncertainty 1.5k
- Management Science and Operations Research 1.1k
- Control and Systems Engineering 748
- Industrial and Manufacturing Engineering 733
- Computational Theory and Mathematics 637
Countries citing papers authored by Enrique Del Castillo
This map shows the geographic impact of Enrique Del 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 Del 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 Del Castillo more than expected).
Fields of papers citing papers by Enrique Del Castillo
This network shows the impact of papers produced by Enrique Del 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 Del Castillo. The network helps show where Enrique Del Castillo may publish in the future.
Co-authorship network of co-authors of Enrique Del Castillo
This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Del Castillo. A scholar is included among the top collaborators of Enrique Del 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 Del Castillo. Enrique Del Castillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | Two approaches for improving the dual response method in robust parameter design | 3 |
| 11 | 12 | |
| 12 | 64 | |
| 13 | 18 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 73 | |
| 18 | 35 | |
| 19 | 32 | |
| 20 | 242 |
About Enrique Del Castillo
Enrique Del Castillo is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 141 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (62 papers), Optimal Experimental Design Methods (44 papers) and Advanced Multi-Objective Optimization Algorithms (27 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.5k citations), Management Science and Operations Research (1.1k citations) and Industrial and Manufacturing Engineering (733 citations). Enrique Del Castillo has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Douglas C. Montgomery, Arnon Hurwitz, Bianca Maria Colosimo, John J. Peterson, Jinn‐Yi Yeh, Jeffery K. Cochran, George C. Runger, Rong Pan, Charles P. Quesenberry and John H. Semple. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and The American Naturalist.
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.