José E. Castillo

1.4k total citations
91 papers, 1.0k citations indexed

About

José E. Castillo is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Numerical Analysis. According to data from OpenAlex, José E. Castillo has authored 91 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 24 papers in Electrical and Electronic Engineering and 12 papers in Numerical Analysis. Recurrent topics in José E. Castillo's work include Advanced Numerical Methods in Computational Mathematics (22 papers), Oceanographic and Atmospheric Processes (12 papers) and solar cell performance optimization (9 papers). José E. Castillo is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (22 papers), Oceanographic and Atmospheric Processes (12 papers) and solar cell performance optimization (9 papers). José E. Castillo collaborates with scholars based in United States, Venezuela and Mexico. José E. Castillo's co-authors include Robert Grone, Stanly Steinberg, Carlos Torres, Steven M. Day, Mohammad Abouali, Josep de la Puente, Mauricio Hanzich, José María, L. A. Dalguer and Mikhail Shashkov and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

José E. Castillo

90 papers receiving 937 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José E. Castillo United States 18 342 198 167 146 137 91 1.0k
Xu Yang China 17 189 0.6× 170 0.9× 157 0.9× 109 0.7× 75 0.5× 108 986
Saulo Pomponet Oliveira Brazil 15 154 0.5× 292 1.5× 115 0.7× 58 0.4× 54 0.4× 75 639
Dean G. Duffy United States 16 130 0.4× 52 0.3× 90 0.5× 104 0.7× 67 0.5× 38 1.2k
Patrick E. Farrell United Kingdom 17 498 1.5× 29 0.1× 78 0.5× 61 0.4× 113 0.8× 80 1.2k
Robert Vichnevetsky United States 17 601 1.8× 57 0.3× 229 1.4× 207 1.4× 97 0.7× 65 1.1k
Denys Dutykh France 24 304 0.9× 284 1.4× 37 0.2× 102 0.7× 35 0.3× 146 1.7k
Z. U. A. Warsi United States 12 1.1k 3.3× 62 0.3× 104 0.6× 83 0.6× 95 0.7× 41 1.7k
Robert C. Kirby United States 16 532 1.6× 41 0.2× 184 1.1× 158 1.1× 198 1.4× 57 919
Mario A. Storti Argentina 20 772 2.3× 25 0.1× 215 1.3× 60 0.4× 100 0.7× 129 1.6k
Xuemin Tu United States 17 429 1.3× 24 0.1× 182 1.1× 94 0.6× 217 1.6× 51 914

Countries citing papers authored by José E. Castillo

Since Specialization
Citations

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

Fields of papers citing papers by José E. Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José E. Castillo

This figure shows the co-authorship network connecting the top 25 collaborators of José E. Castillo. A scholar is included among the top collaborators of José E. 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 José E. Castillo. José E. 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.
Anand, S. & José E. Castillo. (2025). Energy preserving high order mimetic methods for Hamiltonian equations. Computers & Fluids. 297. 106642–106642.
2.
Castillo, José E., et al.. (2024). MOLE: Mimetic Operators Library Enhanced. The Journal of Open Source Software. 9(99). 6288–6288. 2 indexed citations
3.
Srinivasan, Anand, et al.. (2023). Mimetic finite difference operators and higher order quadratures. GEM - International Journal on Geomathematics. 14(1). 2 indexed citations
4.
Castillo, José E., et al.. (2021). Mimetic finite difference methods for restoration of fundus images for automatic detection of glaucoma suspects. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(5). 492–499. 8 indexed citations
5.
Paolini, Christopher, et al.. (2021). Improving the I/O of large geophysical models using PnetCDF and BeeGFS. Parallel Computing. 104-105. 102786–102786. 1 indexed citations
6.
Walter, Ryan, et al.. (2020). Machine Learning Based Predictions of Dissolved Oxygen in a Small Coastal Embayment. Journal of Marine Science and Engineering. 8(12). 1007–1007. 23 indexed citations
7.
Otero, Beatriz, et al.. (2015). Compact finite difference modeling of 2-D acoustic wave propagation. Journal of Computational and Applied Mathematics. 295. 83–91. 11 indexed citations
8.
Paolini, Christopher, et al.. (2014). The Mimetic Methods Toolkit: An object-oriented API for Mimetic Finite Differences. Journal of Computational and Applied Mathematics. 270. 308–322. 1 indexed citations
9.
Puente, Josep de la, et al.. (2014). Mimetic seismic wave modeling including topography on deformed staggered grids. Geophysics. 79(3). T125–T141. 89 indexed citations
10.
Castillo, José E., et al.. (2013). GENERATING QUALITY STRUCTURED CONVEX GRIDS ON IRREGULAR REGIONS ∗. 2 indexed citations
11.
Pereyra, Víctor, Michael A. Saunders, & José E. Castillo. (2011). Equispaced Pareto front construction for constrained bi-objective optimization. Mathematical and Computer Modelling. 57(9-10). 2122–2131. 32 indexed citations
12.
Abouali, Mohammad & José E. Castillo. (2011). Unified Curvilinear Ocean Atmosphere Model (UCOAM): A vertical velocity case study. Mathematical and Computer Modelling. 57(9-10). 2158–2168. 10 indexed citations
13.
Luo, Yuan, et al.. (2007). Parallel optical coherence tomography system. Applied Optics. 46(34). 8291–8291. 17 indexed citations
14.
15.
Castillo, José E., et al.. (2004). Design and processing of high-density single-mode fiber arrays for imaging and parallel interferometer applications. Applied Optics. 43(21). 4150–4150. 6 indexed citations
16.
Castillo, José E., et al.. (2003). A Comparison of Two Matrix Operator Formulations for Mimetic Divergence and Gradient Discretizations.. Parallel and Distributed Processing Techniques and Applications. 1281–1285. 4 indexed citations
17.
Böhner, Martin & José E. Castillo. (2001). Mimetic methods on measure chains. Computers & Mathematics with Applications. 42(3-5). 705–710. 9 indexed citations
18.
Castillo, José E., et al.. (2000). Numerical techniques for the transformation to an orthogonal coordinate system aligned with a vector field. Computers & Mathematics with Applications. 40(4-5). 523–535. 4 indexed citations
19.
Castillo, José E. & Erik Morre Pedersen. (1996). Solution adaptive direct variational grids for fluid flow calculations. Journal of Computational and Applied Mathematics. 67(2). 343–370. 4 indexed citations
20.
Castillo, José E., James M. Hyman, Mikhail Shashkov, & Stanly Steinberg. (1995). The sensitivity and accuracy of fourth order finite-difference schemes on nonuniform grids in one dimension. Computers & Mathematics with Applications. 30(8). 41–55. 32 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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