Luís Eça

2.1k total citations · 1 hit paper
86 papers, 1.6k citations indexed

About

Luís Eça is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Luís Eça has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Computational Mechanics, 27 papers in Environmental Engineering and 21 papers in Aerospace Engineering. Recurrent topics in Luís Eça's work include Fluid Dynamics and Turbulent Flows (49 papers), Computational Fluid Dynamics and Aerodynamics (46 papers) and Fluid Dynamics and Vibration Analysis (28 papers). Luís Eça is often cited by papers focused on Fluid Dynamics and Turbulent Flows (49 papers), Computational Fluid Dynamics and Aerodynamics (46 papers) and Fluid Dynamics and Vibration Analysis (28 papers). Luís Eça collaborates with scholars based in Portugal, Netherlands and United States. Luís Eça's co-authors include M. Hoekstra, Guilherme Vaz, Filipe S. Pereira, Sharath S. Girimaji, D. Pelletier, A. Hay, Patrick J. Roache, João Folgado, Paulo R. Fernandes and Serge Toxopeus and has published in prestigious journals such as Journal of Computational Physics, Automatica and Energy.

In The Last Decade

Luís Eça

81 papers receiving 1.5k citations

Hit Papers

A procedure for the estimation of the numerical uncertain... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A procedure for the estimation of the numerical uncertainty of CFD calculations based on grid refinement studies
    2014 390 citations Luís Eça, M. Hoekstra Journal of Computational Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luís Eça Portugal 20 1.1k 515 445 440 214 86 1.6k
George Papadakis United Kingdom 21 1.1k 0.9× 193 0.4× 310 0.7× 236 0.5× 273 1.3× 94 1.5k
Chi Yang United States 26 1.2k 1.1× 1.1k 2.0× 204 0.5× 326 0.7× 240 1.1× 80 1.9k
M. P. Escudier United Kingdom 29 2.4k 2.1× 513 1.0× 575 1.3× 291 0.7× 561 2.6× 76 3.1k
Robert V. Wilson United States 15 1.4k 1.2× 1.3k 2.4× 525 1.2× 475 1.1× 311 1.5× 31 2.1k
Andrea Di Mascio Italy 29 1.7k 1.5× 1.2k 2.3× 684 1.5× 354 0.8× 361 1.7× 100 2.6k
M. Hoekstra Netherlands 19 914 0.8× 490 1.0× 385 0.9× 325 0.7× 171 0.8× 46 1.3k
Luca Mangani Switzerland 14 865 0.8× 133 0.3× 432 1.0× 139 0.3× 455 2.1× 70 1.5k
Robin Langtry United States 13 3.1k 2.7× 250 0.5× 2.6k 6.0× 683 1.6× 647 3.0× 24 4.0k
P. G. Huang United States 17 2.0k 1.7× 156 0.3× 1.8k 4.0× 364 0.8× 517 2.4× 31 2.6k
B. Schönung Germany 8 1.6k 1.5× 201 0.4× 522 1.2× 316 0.7× 354 1.7× 11 2.0k

Countries citing papers authored by Luís Eça

Since Specialization
Citations

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

Fields of papers citing papers by Luís Eça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luís Eça

This figure shows the co-authorship network connecting the top 25 collaborators of Luís Eça. A scholar is included among the top collaborators of Luís Eça 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 Luís Eça. Luís Eça 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.
2.
Deng, G.B., et al.. (2023). Assessment of solving the RANS equations with two-equation eddy-viscosity models using high-order accurate discretization. Journal of Computational Physics. 483. 112059–112059. 8 indexed citations
3.
Eça, Luís, et al.. (2023). Verification of a Pressure-Based Compressible Flow Solver. International journal of computational fluid dynamics. 37(1). 1–27. 1 indexed citations
4.
Gato, L.M.C., et al.. (2022). Efficiency of biradial impulse turbines concerning rotor blade angle, guide-vane deflection and blockage. Energy. 266. 126390–126390. 8 indexed citations
5.
Eça, Luís, et al.. (2022). On the contribution of roughness effects to the scaling of ship resistance. Journal of Ocean Engineering and Marine Energy. 8(4). 539–551. 1 indexed citations
6.
Vorobieff, Peter, et al.. (2021). Spherical particle migration evaluation in low reynolds number couette flow using smooth profile method. International Journal of Computational Methods and Experimental Measurements. 9(3). 261–275.
7.
Pereira, Filipe S., Luís Eça, Guilherme Vaz, & Sharath S. Girimaji. (2018). Challenges in Scale-Resolving Simulations of turbulent wake flows with coherent structures. Journal of Computational Physics. 363. 98–115. 39 indexed citations
8.
Eça, Luís, Filipe S. Pereira, & Guilherme Vaz. (2018). Viscous flow simulations at high Reynolds numbers without wall functions: Isy+≃1enough for the near-wall cells?. Computers & Fluids. 170. 157–175. 22 indexed citations
9.
Eça, Luís, C.M. Klaij, Guilherme Vaz, M. Hoekstra, & Filipe S. Pereira. (2016). On code verification of RANS solvers. Journal of Computational Physics. 310. 418–439. 26 indexed citations
10.
11.
Pereira, Filipe S., Guilherme Vaz, & Luís Eça. (2015). On the numerical requirements of rans and hybrid turbulence models. QRU Quaderns de Recerca en Urbanisme. 886–902. 9 indexed citations
12.
Eça, Luís & M. Hoekstra. (2013). Verification and validation for marine applications of CFD. International Shipbuilding Progress. 60. 107–141. 7 indexed citations
13.
Eça, Luís & M. Hoekstra. (2008). Code Verification of Unsteady Flow Solvers with the Method of the Manufactured Solutions. International Journal of Offshore and Polar Engineering. 18(2). 18 indexed citations
14.
15.
Fernandes, Paulo R., et al.. (2007). Computational hip joint simulator for wear and heat generation. Journal of Biomechanics. 40(11). 2358–2366. 74 indexed citations
16.
Eça, Luís & M. Hoekstra. (2006). An introduction to CFD code verification including eddy-viscosity models. Research Repository (Delft University of Technology). 8 indexed citations
17.
Eça, Luís & M. Hoekstra. (2006). Verification of Turbulence Models with a Manufactured Solution. Research Repository (Delft University of Technology). 7 indexed citations
18.
Eça, Luís, M. Hoekstra, & Patrick J. Roache. (2005). Verification of Calculations: an Overview of the Lisbon Workshop. 20 indexed citations
19.
Eça, Luís, et al.. (1993). ANALYSIS OF TWO-DIMENSIONAL FOILS USING A VISCOUS-INVISCID INTERACTION METHOD. International Shipbuilding Progress. 40(422). 137–163. 1 indexed citations
20.
Eça, Luís & M. Hoekstra. (1992). Discretization of the parabolised Navier-Stokes equations. 29–36. 1 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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