J. Murillo

2.9k total citations
93 papers, 2.3k citations indexed

About

J. Murillo is a scholar working on Computational Mechanics, Atmospheric Science and Ecology. According to data from OpenAlex, J. Murillo has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computational Mechanics, 20 papers in Atmospheric Science and 18 papers in Ecology. Recurrent topics in J. Murillo's work include Computational Fluid Dynamics and Aerodynamics (56 papers), Fluid Dynamics and Turbulent Flows (40 papers) and Advanced Numerical Methods in Computational Mathematics (17 papers). J. Murillo is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (56 papers), Fluid Dynamics and Turbulent Flows (40 papers) and Advanced Numerical Methods in Computational Mathematics (17 papers). J. Murillo collaborates with scholars based in Spain, United Kingdom and United States. J. Murillo's co-authors include Pilar García‐Navarro, J. Burguete, Carmelo Juez, Mario Morales‐Hernández, Daniel Caviedes‐Voullième, P. Brufau, Luigi Fraccarollo, Giorgio Rosatti, J. Fernández-Pato and Ricardo B. Canelas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Water Resources Research.

In The Last Decade

J. Murillo

87 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Murillo 1.2k 600 573 522 420 93 2.3k
Yves Zech 971 0.8× 530 0.9× 782 1.4× 925 1.8× 288 0.7× 108 2.4k
Sandra Soares Frazão 806 0.7× 727 1.2× 847 1.5× 635 1.2× 244 0.6× 122 2.2k
Paolo Mignosa 840 0.7× 503 0.8× 753 1.3× 180 0.3× 430 1.0× 59 1.8k
Pilar García‐Navarro 2.7k 2.3× 1.4k 2.3× 1.2k 2.2× 871 1.7× 870 2.1× 161 4.8k
Hervé Capart 982 0.8× 225 0.4× 264 0.5× 771 1.5× 87 0.2× 64 1.9k
Renato Vacondio 2.2k 1.9× 451 0.8× 642 1.1× 196 0.4× 377 0.9× 70 3.1k
Forrest M. Holly 682 0.6× 217 0.4× 473 0.8× 1.0k 2.0× 689 1.6× 48 2.4k
M. Elena Vázquez-Cendón 1.4k 1.2× 534 0.9× 296 0.5× 205 0.4× 156 0.4× 35 2.0k
Yakun Guo 600 0.5× 295 0.5× 249 0.4× 878 1.7× 172 0.4× 165 2.7k
Faye Hicks 272 0.2× 1.2k 1.9× 306 0.5× 474 0.9× 411 1.0× 81 2.2k

Countries citing papers authored by J. Murillo

Since Specialization
Citations

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

Fields of papers citing papers by J. Murillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Murillo

This figure shows the co-authorship network connecting the top 25 collaborators of J. Murillo. A scholar is included among the top collaborators of J. Murillo 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 J. Murillo. J. Murillo 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.
Murillo, J., et al.. (2025). The Junction Riemann Problem in 1D shallow water channels including supercritical flow conditions. Computer Methods in Applied Mechanics and Engineering. 440. 117919–117919.
2.
Ramírez, Julia, et al.. (2025). RoePINNs: An integration of advanced CFD solvers with Physics-Informed Neural Networks and application in arterial flow modeling. Computer Methods in Applied Mechanics and Engineering. 440. 117933–117933. 1 indexed citations
3.
Trelles, Miguel, et al.. (2025). Prevalence of invasive fungal infection in critically Ill patients: a systematic review and meta-analysis. BMC Infectious Diseases. 25(1). 896–896. 1 indexed citations
4.
Murillo, J., et al.. (2022). Novel discretization strategies for the 2D non-Newtonian resistance term in geophysical shallow flows. Engineering Geology. 302. 106625–106625. 7 indexed citations
5.
6.
Murillo, J., et al.. (2021). Comparison of new efficient 2D models for the simulation of bedload transport using the augmented Roe approach. Advances in Water Resources. 153. 103931–103931. 12 indexed citations
8.
Morales‐Hernández, Mario, J. Murillo, & Pilar García‐Navarro. (2018). Diffusion–dispersion numerical discretization for solute transport in 2D transient shallow flows. Environmental Fluid Mechanics. 19(5). 1217–1234. 17 indexed citations
9.
Juez, Carmelo, et al.. (2016). An efficient GPU implementation for a faster simulation of unsteady bed-load transport. Journal of Hydraulic Research. 54(3). 275–288. 30 indexed citations
10.
Juez, Carmelo, et al.. (2015). An efficient solution for hazardous geophysical flows simulation using GPUs. Computers & Geosciences. 78. 63–72. 25 indexed citations
11.
Murillo, J., et al.. (2015). Energy balanced numerical schemes with very high order. The Augmented Roe Flux ADER scheme. Application to the shallow water equations. Journal of Computational Physics. 290. 188–218. 26 indexed citations
12.
Henry, Lea‐Anne, Johanne Vad, Helen S. Findlay, et al.. (2014). Environmental variability and biodiversity of megabenthos on the Hebrides Terrace Seamount (Northeast Atlantic). Scientific Reports. 4(1). 5589–5589. 28 indexed citations
13.
Morales‐Hernández, Mario, et al.. (2014). High Performance GPU Speed-Up Strategies For The Computation Of 2D Inundation Models. CUNY Academic Works (City University of New York). 2 indexed citations
14.
Juez, Carmelo, J. Murillo, & Pilar García‐Navarro. (2013). Numerical assessment of bed-load discharge formulations for transient flow in 1D and 2D situations. Journal of Hydroinformatics. 15(4). 1234–1257. 34 indexed citations
15.
Murillo, J. & Pilar García‐Navarro. (2013). Accurate numerical modeling of 1D flow in channels with arbitrary shape. Application of the energy balanced property. Journal of Computational Physics. 260. 222–248. 36 indexed citations
16.
Olivera, Francisco, et al.. (2008). Floodplain Delineation of the Ranillas Meander in Zaragoza Using GUAD-2D. 1–1. 2 indexed citations
17.
Murillo, J., Pilar García‐Navarro, P. Brufau, & J. Burguete. (2008). 2D modelling of erosion/deposition processes with suspended load using. Journal of Hydraulic Research. 46(1). 99–112. 9 indexed citations
18.
Murillo, J., et al.. (2007). A Mathematical Model for Numerical Simulation of Shallow Water Flow: Description and Practical Application of GUAD|2D. 409–416. 7 indexed citations
19.
Burguete, J., Pilar García‐Navarro, & J. Murillo. (2007). Preserving bounded and conservative solutions of transport in one‐dimensional shallow‐water flow with upwind numerical schemes: Application to fertigation and solute transport in rivers. International Journal for Numerical Methods in Fluids. 56(9). 1731–1764. 15 indexed citations
20.
Murillo, J., et al.. (2006). ESTUDIO DEL COMPORTAMIENTO DE UN FLUIDO VISCOELÁSTICO UTILIZANDO EL MODELO DE MAXWELL. 38(2). 1014–1017.

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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