Eduardo Abreu

650 total citations
52 papers, 444 citations indexed

About

Eduardo Abreu is a scholar working on Computational Mechanics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Eduardo Abreu has authored 52 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 22 papers in Applied Mathematics and 16 papers in Computational Theory and Mathematics. Recurrent topics in Eduardo Abreu's work include Computational Fluid Dynamics and Aerodynamics (28 papers), Advanced Numerical Methods in Computational Mathematics (25 papers) and Navier-Stokes equation solutions (21 papers). Eduardo Abreu is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (28 papers), Advanced Numerical Methods in Computational Mathematics (25 papers) and Navier-Stokes equation solutions (21 papers). Eduardo Abreu collaborates with scholars based in Brazil, Colombia and United States. Eduardo Abreu's co-authors include Frederico Furtado, Felipe Pereira, Jim Douglas, Evgeny Yu. Panov, D. Marchesin, Juan Galvis, A. Durán, Vitor Luiz de Matos, S. Ribeiro and João B. Florindo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal for Numerical Methods in Engineering.

In The Last Decade

Eduardo Abreu

47 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Abreu Brazil 15 329 180 128 58 57 52 444
Anthony Michel France 7 225 0.7× 115 0.6× 168 1.3× 35 0.6× 30 0.5× 15 382
Cindy Guichard France 12 377 1.1× 60 0.3× 180 1.4× 91 1.6× 38 0.7× 20 507
Juha Videman Portugal 9 127 0.4× 94 0.5× 145 1.1× 56 1.0× 93 1.6× 49 365
Vincent Perrier France 8 318 1.0× 83 0.5× 35 0.3× 30 0.5× 20 0.4× 23 422
Adam Larios United States 14 259 0.8× 201 1.1× 53 0.4× 98 1.7× 160 2.8× 28 510
R. Herbin France 6 343 1.0× 54 0.3× 151 1.2× 64 1.1× 24 0.4× 8 399
Frederico Furtado United States 13 232 0.7× 57 0.3× 146 1.1× 78 1.3× 20 0.4× 31 442
Runhild A. Klausen Norway 9 434 1.3× 37 0.2× 157 1.2× 64 1.1× 16 0.3× 17 549
Hennie De Schepper Belgium 13 54 0.2× 633 3.5× 62 0.5× 34 0.6× 97 1.7× 94 774
Filomena Di Tommaso Italy 14 246 0.7× 77 0.4× 40 0.3× 185 3.2× 21 0.4× 33 375

Countries citing papers authored by Eduardo Abreu

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Abreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Abreu

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Abreu. A scholar is included among the top collaborators of Eduardo Abreu 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 Eduardo Abreu. Eduardo Abreu 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.
Abreu, Eduardo, et al.. (2024). Semi-discrete Lagrangian–Eulerian approach based on the weak asymptotic method for nonlocal conservation laws in several dimensions. Journal of Computational and Applied Mathematics. 458. 116325–116325. 1 indexed citations
2.
Abreu, Eduardo, et al.. (2024). Riemann problem solutions for a balance law under Dirac-Delta source with a discontinuous flux. Journal of Hyperbolic Differential Equations. 21(1). 1–32. 2 indexed citations
3.
Abreu, Eduardo, et al.. (2024). An Enhanced Lagrangian‐Eulerian Method for a Class of Balance Laws: Numerical Analysis via a Weak Asymptotic Method With Applications. Numerical Methods for Partial Differential Equations. 41(1).
4.
Abreu, Eduardo, et al.. (2024). A numerical scheme for doubly nonlocal conservation laws. CALCOLO. 61(4).
5.
Abreu, Eduardo, et al.. (2023). A triangle-based positive semi-discrete Lagrangian–Eulerian scheme via the weak asymptotic method for scalar equations and systems of hyperbolic conservation laws. Journal of Computational and Applied Mathematics. 437. 115465–115465. 2 indexed citations
6.
Abreu, Eduardo, et al.. (2023). A study of non-equilibrium wave groups in two-phase flow in high-contrast porous media with relative permeability hysteresis. Communications in Nonlinear Science and Numerical Simulation. 127. 107552–107552. 1 indexed citations
7.
Murad, Márcio A., et al.. (2023). A new computational model for karst conduit flow in carbonate reservoirs including dissolution-collapse breccias. Computational Geosciences. 27(5). 879–912.
8.
Florindo, João B. & Eduardo Abreu. (2023). A pseudo-parabolic diffusion model to enhance deep neural texture features. Multimedia Tools and Applications. 83(4). 11507–11528. 1 indexed citations
9.
Abreu, Eduardo, et al.. (2022). Texture image classification based on a pseudo-parabolic diffusion model. Multimedia Tools and Applications. 82(3). 3581–3604. 8 indexed citations
10.
Abreu, Eduardo, et al.. (2022). Lagrangian-Eulerian Approach for Nonlocal Conservation Laws. Journal of Dynamics and Differential Equations. 36(2). 1435–1481. 11 indexed citations
11.
Pereira, Patrícia, et al.. (2021). Recursive Mixed Multiscale Model Reduction for Karst Conduit-Flow in Carbonate Reservoirs. Transport in Porous Media. 139(3). 527–558. 6 indexed citations
12.
Abreu, Eduardo, et al.. (2020). Numerical resolution of a pseudo-parabolic Buckley-Leverett model with gravity and dynamic capillary pressure in heterogeneous porous media. Journal of Computational Physics. 411. 109395–109395. 14 indexed citations
13.
Abreu, Eduardo, et al.. (2018). A fast, robust, and simple Lagrangian–Eulerian solver for balance laws and applications. Computers & Mathematics with Applications. 77(9). 2310–2336. 19 indexed citations
14.
Abreu, Eduardo, et al.. (2018). Lagrangian-Eulerian approximation methods for balance laws and hyperbolic conservation laws. SHILAP Revista de lepidopterología. 17(1). 191–200. 9 indexed citations
15.
Abreu, Eduardo, et al.. (2017). A new finite volume approach for transport models and related applications with balancing source terms. Mathematics and Computers in Simulation. 137. 2–28. 24 indexed citations
16.
Abreu, Eduardo, et al.. (2016). Weak asymptotic methods for scalar equations and systems. Journal of Mathematical Analysis and Applications. 444(2). 1203–1232. 19 indexed citations
17.
Abreu, Eduardo, et al.. (2016). A unsplitting finite volume method for models with stiff relaxation source terms. Bulletin of the Brazilian Mathematical Society New Series. 47(1). 5–20. 1 indexed citations
18.
Abreu, Eduardo, et al.. (2016). Computing numerical solutions of the pseudo-parabolic Buckley–Leverett equation with dynamic capillary pressure. Mathematics and Computers in Simulation. 137. 29–48. 14 indexed citations
19.
Abreu, Eduardo, et al.. (2016). On a universal structure for immiscible three-phase flow in virgin reservoirs. Computational Geosciences. 20(1). 171–185. 18 indexed citations
20.
Abreu, Eduardo, et al.. (2015). Non-monotonic traveling wave and computational solutions for gas dynamics Euler equations with stiff relaxation source terms. Computers & Mathematics with Applications. 70(9). 2155–2176. 4 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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