L. Ferragut

611 total citations
33 papers, 378 citations indexed

About

L. Ferragut is a scholar working on Computational Mechanics, Global and Planetary Change and Mechanics of Materials. According to data from OpenAlex, L. Ferragut has authored 33 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 10 papers in Global and Planetary Change and 6 papers in Mechanics of Materials. Recurrent topics in L. Ferragut's work include Advanced Numerical Methods in Computational Mathematics (15 papers), Fire effects on ecosystems (10 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). L. Ferragut is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (15 papers), Fire effects on ecosystems (10 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). L. Ferragut collaborates with scholars based in Spain, France and Italy. L. Ferragut's co-authors include María Isabel Asensio Sevilla, R. Montenegro, José Manuel Cascón Barbero, Ángel Plaza, Santiago Monedero, J. Simon, G. Montero, G. Winter, Diego Gutiérrez and Francisco José Serón Arbeloa and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Solar Energy and International Journal for Numerical Methods in Engineering.

In The Last Decade

L. Ferragut

30 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Ferragut Spain 13 203 85 82 75 74 33 378
María Isabel Asensio Sevilla Spain 13 226 1.1× 82 1.0× 87 1.1× 76 1.0× 63 0.9× 34 392
Xavier Silvani France 13 486 2.4× 122 1.4× 426 5.2× 58 0.8× 68 0.9× 22 670
Miguel Almeida Portugal 13 319 1.6× 31 0.4× 288 3.5× 23 0.3× 29 0.4× 43 496
Evelyne Foerster France 12 56 0.3× 20 0.2× 67 0.8× 21 0.3× 29 0.4× 25 481
R. Montenegro Spain 14 39 0.2× 342 4.0× 13 0.2× 64 0.9× 143 1.9× 55 630
Chuan Lin China 13 35 0.2× 58 0.7× 55 0.7× 12 0.2× 29 0.4× 31 415
Honglei Yang China 14 26 0.1× 14 0.2× 46 0.6× 119 1.6× 36 0.5× 59 559

Countries citing papers authored by L. Ferragut

Since Specialization
Citations

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

Fields of papers citing papers by L. Ferragut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Ferragut

This figure shows the co-authorship network connecting the top 25 collaborators of L. Ferragut. A scholar is included among the top collaborators of L. Ferragut 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 L. Ferragut. L. Ferragut 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.
Sevilla, María Isabel Asensio, et al.. (2023). An Historical Review of the Simplified Physical Fire Spread Model PhyFire: Model and Numerical Methods. Applied Sciences. 13(4). 2035–2035. 7 indexed citations
2.
Sevilla, María Isabel Asensio, et al.. (2017). A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model. International Journal of Geographical Information Systems. 31(11). 2142–2163. 26 indexed citations
3.
Sevilla, María Isabel Asensio, et al.. (2015). Sensitivity analysis and parameter adjustment in a simplified physical wildland fire model. Advances in Engineering Software. 90. 98–106. 12 indexed citations
4.
Ferragut, L., María Isabel Asensio Sevilla, & J. Simon. (2009). High definition local adjustment model of 3D wind fields performing only 2D computations. International Journal for Numerical Methods in Biomedical Engineering. 27(4). 510–523. 17 indexed citations
5.
Benzi, Michele, L. Ferragut, Micol Pennacchio, & Valeria Simoncini. (2009). Solution of linear systems from an optimal control problem arising in wind simulation. Numerical Linear Algebra with Applications. 17(6). 895–915. 7 indexed citations
6.
Ferragut, L., Santiago Monedero, María Isabel Asensio Sevilla, & Joaquín Ramirez. (2008). Scientific advances in fire modelling and its integration in a forest fire decision system. WIT transactions on ecology and the environment. I. 31–38. 4 indexed citations
7.
Ferragut, L., María Isabel Asensio Sevilla, & Santiago Monedero. (2006). A numerical method for solving convection–reaction–diffusion multivalued equations in fire spread modelling. Advances in Engineering Software. 38(6). 366–371. 25 indexed citations
8.
Sevilla, María Isabel Asensio, L. Ferragut, & J. Simon. (2005). A convection model for fire spread simulation. Applied Mathematics Letters. 18(6). 673–677. 25 indexed citations
9.
Arbeloa, Francisco José Serón, et al.. (2005). The Evolution of a WILDLAND Forest FIRE FRONT. The Visual Computer. 21(3). 152–169. 23 indexed citations
10.
Sevilla, María Isabel Asensio, et al.. (2002). Modelling of convection in forest fires.. 1 indexed citations
11.
Ferragut, L. & María Isabel Asensio Sevilla. (2002). Mixed finite element methods for a class of nonlinear reaction diffusion problems. Neural, Parallel & Scientific Computations archive. 10(1). 91–112. 4 indexed citations
12.
Sevilla, María Isabel Asensio & L. Ferragut. (2000). Total error estimates of mixed finite element methods for nonlinear reaction-diffusion equations. Neural, Parallel & Scientific Computations archive. 8(2). 169–190. 3 indexed citations
13.
Montenegro, R., Ángel Plaza, L. Ferragut, & María Isabel Asensio Sevilla. (1997). Application of a nonlinear evolution model to fire propagation. Nonlinear Analysis. 30(5). 2873–2882. 17 indexed citations
14.
Plaza, Ángel, R. Montenegro, & L. Ferragut. (1996). An improved derefinement algorithm of nested meshes. Advances in Engineering Software. 27(1-2). 51–57. 13 indexed citations
15.
Ferragut, L. & R. Montenegro. (1995). Accurate a-posteriori error estimation using duality. Acceda (Universidad de Las Palmas de Gran Canaria). 3(4). 549–563. 1 indexed citations
16.
Winter, G., G. Montero, L. Ferragut, & R. Montenegro. (1995). Adaptive strategies using standard and mixed finite elements for wind field adjustment. Solar Energy. 54(1). 49–56. 20 indexed citations
17.
Ferragut, L., R. Montenegro, & Ángel Plaza. (1994). Efficient refinement/derefinement algorithm of nested meshes to solve evolution problems. Communications in Numerical Methods in Engineering. 10(5). 403–412. 31 indexed citations
18.
Plaza, Ángel, L. Ferragut, & R. Montenegro. (1992). Derefinement Algorithms of Nested Meshes. Acceda (Universidad de Las Palmas de Gran Canaria). 409–415. 6 indexed citations
19.
Montero, G., G. Winter, R. Montenegro, & L. Ferragut. (1989). APLICACION DE METODOS DE ELEMENTOS FINITOS ADAPTATIVOS A PROBLEMAS DE CONVECCION-DIFUSION EN 2-D. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
20.
Ferragut, L., et al.. (1985). Un método de lagrangiano aumentado para la resolución de problemas de flujo no lineal en medio no poroso. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 1(3). 27–36.

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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