Enrique Castillo
About
In The Last Decade
Enrique Castillo
236 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 1.4k
- Statistics, Probability and Uncertainty 1.3k
- Transportation 1.3k
- Civil and Structural Engineering 1.2k
- Building and Construction 1.2k
Countries citing papers authored by Enrique Castillo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 160 Towards a probabilistic concept of the Kitagawa-Takahashi diagram | 2 |
| 5 | 5 | |
| 6 | 52 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis | 85 |
| 10 | Extreme value and related models with applications in engineering and science | 238 |
| 11 | 1 | |
| 12 | a new wrapper method for feature subset selection. | 8 |
| 13 | Accelerating the convergence speed of neural networks learning methods using least squares. | 11 |
| 14 | 11 | |
| 15 | 2 | |
| 16 | Improving Search-Based Inference in Bayesian Networks | 0 |
| 17 | Goal oriented symbolic propagation in Bayesian networks | 9 |
| 18 | Expert Systems and Probabiistic Network Models | 95 |
| 19 | 35 | |
| 20 | 8 |
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.