Jorge Escobar-Vargas

426 total citations
13 papers, 128 citations indexed

About

Jorge Escobar-Vargas is a scholar working on Computational Mechanics, Management, Monitoring, Policy and Law and Civil and Structural Engineering. According to data from OpenAlex, Jorge Escobar-Vargas has authored 13 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 4 papers in Management, Monitoring, Policy and Law and 3 papers in Civil and Structural Engineering. Recurrent topics in Jorge Escobar-Vargas's work include Landslides and related hazards (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Jorge Escobar-Vargas is often cited by papers focused on Landslides and related hazards (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Jorge Escobar-Vargas collaborates with scholars based in Colombia, United States and China. Jorge Escobar-Vargas's co-authors include Alfonso Mariano Ramos-Cañón, S. A. Galindo‐Torres, Xue Zhang, Peter Diamessis, Takahiro Sakai, Francis X. Giraldo, C. B. Phillips, Shai Arnon, Aaron I. Packman and Andrés Torres and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Earth-Science Reviews.

In The Last Decade

Jorge Escobar-Vargas

9 papers receiving 121 citations

Peers

Jorge Escobar-Vargas
Jorge Escobar-Vargas
Citations per year, relative to Jorge Escobar-Vargas Jorge Escobar-Vargas (= 1×) peers Osamu Nagai

Countries citing papers authored by Jorge Escobar-Vargas

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Escobar-Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Escobar-Vargas. 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 Jorge Escobar-Vargas. The network helps show where Jorge Escobar-Vargas may publish in the future.

Co-authorship network of co-authors of Jorge Escobar-Vargas

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Escobar-Vargas. A scholar is included among the top collaborators of Jorge Escobar-Vargas 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 Jorge Escobar-Vargas. Jorge Escobar-Vargas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Escobar-Vargas, Jorge, et al.. (2023). Integration of physically-based numerical tools and socio-hydrological variables in urban flood modeling. Journal of Hydrology. 625. 129974–129974. 4 indexed citations
2.
Escobar-Vargas, Jorge, et al.. (2023). Methodological proposal for physical processes characterization of shallow tropical wetland complexes. Environmental and Sustainability Indicators. 18. 100234–100234. 1 indexed citations
3.
Escobar-Vargas, Jorge, et al.. (2022). Hydroinformatic tools and their potential in the search for missing persons in rivers. Forensic Science International. 341. 111478–111478. 4 indexed citations
4.
Ramos-Cañón, Alfonso Mariano, et al.. (2022). An overview of debris-flow mathematical modelling. Earth-Science Reviews. 232. 104135–104135. 37 indexed citations
6.
Packman, Aaron I., et al.. (2020). Fine Sediment Deposition and Filtration Under Losing and Gaining Flow Conditions: A Particle Tracking Model Approach. Water Resources Research. 56(2). 13 indexed citations
7.
Galindo‐Torres, S. A., et al.. (2020). Smooth particle hydrodynamics and discrete element method coupling scheme for the simulation of debris flows. Computers and Geotechnics. 125. 103669–103669. 44 indexed citations
8.
Escobar-Vargas, Jorge, et al.. (2019). A spectral multidomain penalty method solver for the numerical simulation of granular avalanches. Earth Sciences Research Journal. 23(4). 317–329. 3 indexed citations
9.
Escobar-Vargas, Jorge, et al.. (2016). A High Order Element Based Method for the Simulation of Velocity Damping in the Hyporheic Zone of a High Mountain River. EGUGA.
10.
Escobar-Vargas, Jorge, et al.. (2015). A Spectral Multidomain Penalty Method Solver for the Simulation of the Velocity Attenuation in Hyporheic Flows. Procedia Environmental Sciences. 25. 206–213.
11.
Escobar-Vargas, Jorge, Peter Diamessis, & Takahiro Sakai. (2014). A spectral quadrilateral multidomain penalty method model for high Reynolds number incompressible stratified flows. International Journal for Numerical Methods in Fluids. 75(6). 403–425. 8 indexed citations
12.
Escobar-Vargas, Jorge. (2012). A Spectral Multidomain Penalty Method Solver For Environmental Flow Processes. eCommons (Cornell University). 4 indexed citations
13.
Escobar-Vargas, Jorge, Peter Diamessis, & Francis X. Giraldo. (2011). High-order discontinuous element-based schemes for the inviscid shallow water equations: Spectral multidomain penalty and discontinuous Galerkin methods. Applied Mathematics and Computation. 218(9). 4825–4848. 10 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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