C. Escalante

674 total citations
23 papers, 370 citations indexed

About

C. Escalante is a scholar working on Computational Mechanics, Earth-Surface Processes and Geophysics. According to data from OpenAlex, C. Escalante has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 9 papers in Earth-Surface Processes and 8 papers in Geophysics. Recurrent topics in C. Escalante's work include Coastal and Marine Dynamics (9 papers), Computational Fluid Dynamics and Aerodynamics (9 papers) and earthquake and tectonic studies (7 papers). C. Escalante is often cited by papers focused on Coastal and Marine Dynamics (9 papers), Computational Fluid Dynamics and Aerodynamics (9 papers) and earthquake and tectonic studies (7 papers). C. Escalante collaborates with scholars based in Spain, Italy and France. C. Escalante's co-authors include Manuel J. Castro, Jorge Macı́as, T. Morales de Luna, Michael Dumbser, Sergio Ortega, José Manuel González-Vida, Sergey Gavrilyuk, Nicolas Favrie, Saray Busto and Enrique D. Fernández-Nieto and has published in prestigious journals such as Journal of Computational Physics, Applied Mathematics and Computation and Coastal Engineering.

In The Last Decade

C. Escalante

23 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Escalante Spain 11 152 151 142 107 71 23 370
Stefan Vater Germany 9 132 0.9× 61 0.4× 74 0.5× 68 0.6× 18 0.3× 14 270
Sergio Ortega Spain 12 213 1.4× 81 0.5× 112 0.8× 119 1.1× 66 0.9× 23 387
Natalja Rakowsky Germany 11 88 0.6× 48 0.3× 52 0.4× 186 1.7× 8 0.1× 20 355
Geoff Wadge United Kingdom 10 462 3.0× 23 0.2× 8 0.1× 164 1.5× 110 1.5× 19 619
Burak Uslu United States 12 479 3.2× 100 0.7× 5 0.0× 154 1.4× 23 0.3× 29 581
Matteo Cerminara Italy 11 179 1.2× 51 0.3× 51 0.4× 155 1.4× 46 0.6× 32 382
Gözde Güney Doğan Türkiye 8 220 1.4× 55 0.4× 6 0.0× 40 0.4× 31 0.4× 19 290
Angie J. Venturato United States 6 277 1.8× 55 0.4× 6 0.0× 114 1.1× 5 0.1× 15 365
C. Eva Italy 18 742 4.9× 39 0.3× 8 0.1× 46 0.4× 35 0.5× 48 839
Giampiero Iaffaldano Australia 22 1.1k 7.1× 68 0.5× 8 0.1× 117 1.1× 7 0.1× 44 1.2k

Countries citing papers authored by C. Escalante

Since Specialization
Citations

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

Fields of papers citing papers by C. Escalante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Escalante

This figure shows the co-authorship network connecting the top 25 collaborators of C. Escalante. A scholar is included among the top collaborators of C. Escalante 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 C. Escalante. C. Escalante 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.
Ongaro, Tomaso Esposti, Matteo Cerminara, Mattia de’ Michieli Vitturi, et al.. (2025). Modeling and simulation of volcanic mass movements and induced tsunamis at Stromboli volcano (Aeolian archipelago, Tyrrhenian sea, Italy). Frontiers in Earth Science. 13. 2 indexed citations
3.
Escalante, C., et al.. (2023). Non-hydrostatic layer-averaged approximation of Euler system with enhanced dispersion properties. Computational and Applied Mathematics. 42(4). 2 indexed citations
4.
Escalante, C., et al.. (2023). Multilayer Shallow Model for Dry Granular Flows with a Weakly Non-hydrostatic Pressure. Journal of Scientific Computing. 96(3). 1 indexed citations
5.
Kirby, James T., Stéphan T. Grilli, Juan Horrillo, et al.. (2022). Validation and inter-comparison of models for landslide tsunami generation. Ocean Modelling. 170. 101943–101943. 27 indexed citations
6.
Escalante, C., et al.. (2022). A general vertical decomposition of Euler equations: Multilayer-moment models. Applied Numerical Mathematics. 183. 236–262. 4 indexed citations
7.
Macı́as, Jorge, C. Escalante, & Manuel J. Castro. (2021). Multilayer-HySEA model validation for landslide-generated tsunamis – Part 1: Rigid slides. Natural hazards and earth system sciences. 21(2). 775–789. 19 indexed citations
8.
Macı́as, Jorge, C. Escalante, & Manuel J. Castro. (2021). Multilayer-HySEA model validation for landslide-generated tsunamis – Part 2: Granular slides. Natural hazards and earth system sciences. 21(2). 791–805. 16 indexed citations
9.
Ongaro, Tomaso Esposti, Mattia de’ Michieli Vitturi, Matteo Cerminara, et al.. (2021). Modeling Tsunamis Generated by Submarine Landslides at Stromboli Volcano (Aeolian Islands, Italy): A Numerical Benchmark Study. Frontiers in Earth Science. 9. 19 indexed citations
10.
Escalante, C., et al.. (2021). Well-Balanced High-Order Discontinuous Galerkin Methods for Systems of Balance Laws. Mathematics. 10(1). 15–15. 9 indexed citations
11.
Escalante, C., et al.. (2021). Numerical Simulations of a Dispersive Model Approximating Free-Surface Euler Equations. Journal of Scientific Computing. 89(3). 4 indexed citations
12.
Busto, Saray, Michael Dumbser, C. Escalante, Nicolas Favrie, & Sergey Gavrilyuk. (2021). On High Order ADER Discontinuous Galerkin Schemes for First Order Hyperbolic Reformulations of Nonlinear Dispersive Systems. Journal of Scientific Computing. 87(2). 40 indexed citations
13.
Escalante, C. & T. Morales de Luna. (2020). A General Non-hydrostatic Hyperbolic Formulation for Boussinesq Dispersive Shallow Flows and Its Numerical Approximation. Journal of Scientific Computing. 83(3). 23 indexed citations
14.
Macı́as, Jorge, Manuel J. Castro, & C. Escalante. (2020). Performance assessment of the Tsunami-HySEA model for NTHMP tsunami currents benchmarking. Laboratory data. Coastal Engineering. 158. 103667–103667. 20 indexed citations
15.
Macı́as, Jorge, C. Escalante, & Manuel J. Castro. (2020). Multilayer-HySEA model validation for landslide generated tsunamis. Part II Granular slides. 5 indexed citations
16.
Ferreiro, A., et al.. (2019). Global optimization for data assimilation in landslide tsunami models. Journal of Computational Physics. 403. 109069–109069. 6 indexed citations
17.
Escalante, C., T. Morales de Luna, & Manuel J. Castro. (2018). Non-hydrostatic pressure shallow flows: GPU implementation using finite volume and finite difference scheme. Applied Mathematics and Computation. 338. 631–659. 40 indexed citations
18.
Escalante, C., Enrique D. Fernández-Nieto, T. Morales de Luna, & Manuel J. Castro. (2018). An Efficient Two-Layer Non-hydrostatic Approach for Dispersive Water Waves. Journal of Scientific Computing. 79(1). 273–320. 22 indexed citations
19.
Macı́as, Jorge, Manuel J. Castro, Sergio Ortega, C. Escalante, & José Manuel González-Vida. (2017). Performance Benchmarking of Tsunami-HySEA Model for NTHMP’s Inundation Mapping Activities. Pure and Applied Geophysics. 174(8). 3147–3183. 61 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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