Emmanuel Branlard

1.8k total citations
55 papers, 712 citations indexed

About

Emmanuel Branlard is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Emmanuel Branlard has authored 55 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Aerospace Engineering, 37 papers in Computational Mechanics and 27 papers in Environmental Engineering. Recurrent topics in Emmanuel Branlard's work include Wind Energy Research and Development (43 papers), Fluid Dynamics and Vibration Analysis (28 papers) and Wind and Air Flow Studies (26 papers). Emmanuel Branlard is often cited by papers focused on Wind Energy Research and Development (43 papers), Fluid Dynamics and Vibration Analysis (28 papers) and Wind and Air Flow Studies (26 papers). Emmanuel Branlard collaborates with scholars based in United States, Denmark and Germany. Emmanuel Branlard's co-authors include Mac Gaunaa, Jason Jonkman, Alexander Meyer Forsting, Luis A. Martínez‐Tossas, Paula Doubrawa, Scott Dana, Patrick Moriarty, Ewan Machefaux, Ganesh Vijayakumar and Kelsey Shaler and has published in prestigious journals such as Renewable Energy, Journal of Wind Engineering and Industrial Aerodynamics and Journal of Fluids Engineering.

In The Last Decade

Emmanuel Branlard

54 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Branlard United States 17 540 329 327 106 76 55 712
Weipao Miao China 17 523 1.0× 245 0.7× 288 0.9× 76 0.7× 92 1.2× 31 606
Uwe Schmidt Paulsen Denmark 17 729 1.4× 399 1.2× 369 1.1× 70 0.7× 216 2.8× 66 893
Néstor Ramos‐García Denmark 16 553 1.0× 264 0.8× 415 1.3× 72 0.7× 66 0.9× 42 636
Stig Øye Denmark 9 453 0.8× 220 0.7× 304 0.9× 181 1.7× 57 0.8× 18 619
Sergio González Horcas Denmark 14 391 0.7× 231 0.7× 286 0.9× 70 0.7× 59 0.8× 30 491
H. Snel Netherlands 14 719 1.3× 468 1.4× 427 1.3× 79 0.7× 46 0.6× 22 822
Galih Bangga Germany 20 780 1.4× 487 1.5× 475 1.5× 72 0.7× 62 0.8× 63 912
Zilong Ti China 15 309 0.6× 234 0.7× 258 0.8× 62 0.6× 114 1.5× 36 718
M. Thøgersen Denmark 8 828 1.5× 588 1.8× 278 0.9× 61 0.6× 41 0.5× 17 980
Bonnie Jonkman United States 19 633 1.2× 275 0.8× 209 0.6× 277 2.6× 91 1.2× 26 859

Countries citing papers authored by Emmanuel Branlard

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Branlard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Branlard

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Branlard. A scholar is included among the top collaborators of Emmanuel Branlard 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 Emmanuel Branlard. Emmanuel Branlard 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.
Brown, Kenneth, Pietro Bortolotti, Emmanuel Branlard, et al.. (2024). One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST. Wind energy science. 9(8). 1791–1810. 3 indexed citations
2.
Branlard, Emmanuel, et al.. (2024). The nonlinear behavior of generic tail fins for small wind turbines. Journal of Renewable and Sustainable Energy. 16(5).
3.
Branlard, Emmanuel, et al.. (2024). A digital twin solution for floating offshore wind turbines validated using a full-scale prototype. Wind energy science. 9(1). 1–24. 19 indexed citations
4.
Branlard, Emmanuel, et al.. (2024). Improvements to the Blade Element Momentum Formulation of OpenFAST for Skewed Inflows. Journal of Physics Conference Series. 2767(2). 22003–22003. 2 indexed citations
5.
Branlard, Emmanuel, et al.. (2023). Sensitivity Analysis of Modal Parameters of a Jacket Offshore Wind Turbine to Operational Conditions. Journal of Marine Science and Engineering. 11(8). 1524–1524. 13 indexed citations
6.
Shaler, Kelsey, Benjamin Anderson, Luis A. Martínez‐Tossas, Emmanuel Branlard, & Nick Johnson. (2023). Comparison of free vortex wake and blade element momentum results against large-eddy simulation results for highly flexible turbines under challenging inflow conditions. Wind energy science. 8(3). 383–399. 7 indexed citations
7.
Bortolotti, Pietro, et al.. (2023). Rotor and wake aerodynamic analysis of the Hybrid-Lambda concept - an offshore low-specific-rating rotor concept. Journal of Physics Conference Series. 2626(1). 12008–12008. 2 indexed citations
8.
Jonkman, Jason, Emmanuel Branlard, & John Jasa. (2022). Influence of wind turbine design parameters on linearized physics-based models in OpenFAST. Wind energy science. 7(2). 559–571. 12 indexed citations
9.
Branlard, Emmanuel, et al.. (2022). A multipurpose lifting-line flow solver for arbitrary wind energy concepts. Wind energy science. 7(2). 455–467. 11 indexed citations
10.
Branlard, Emmanuel, et al.. (2022). A symbolic framework to obtain mid-fidelity models of flexible multibody systems with application to horizontal-axis wind turbines. Wind energy science. 7(6). 2351–2371. 6 indexed citations
11.
Branlard, Emmanuel, et al.. (2021). A multi-purpose lifting-line flow solver for arbitrary wind energy concepts. 2 indexed citations
12.
Jonkman, Jason, Emmanuel Branlard, & John Jasa. (2021). Influence of Wind Turbine Design Parameters on Linearized Physics-Based Models in OpenFAST. 1 indexed citations
13.
14.
15.
Martínez‐Tossas, Luis A. & Emmanuel Branlard. (2020). The curled wake model: equivalence of shed vorticity models. Journal of Physics Conference Series. 1452(1). 12069–12069. 8 indexed citations
16.
Branlard, Emmanuel, Jason Jonkman, Scott Dana, & Paula Doubrawa. (2020). A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines. Journal of Physics Conference Series. 1618(2). 22030–22030. 24 indexed citations
17.
Branlard, Emmanuel, et al.. (2016). Impact of a wind turbine on turbulence: Un-freezing turbulence by means of a simple vortex particle approach. Journal of Wind Engineering and Industrial Aerodynamics. 151. 37–47. 9 indexed citations
18.
Branlard, Emmanuel, George Papadakis, Mac Gaunaa, Grégoire Winckelmans, & Torben J. Larsen. (2015). Aeroelastic large eddy simulations using vortex methods: unfrozen turbulent and sheared inflow. Journal of Physics Conference Series. 625. 12019–12019. 12 indexed citations
19.
Branlard, Emmanuel & Mac Gaunaa. (2015). Cylindrical vortex wake model: skewed cylinder, application to yawed or tilted rotors. Wind Energy. 19(2). 345–358. 15 indexed citations
20.
Branlard, Emmanuel, Anders Tegtmeier Pedersen, Jakob Mann, et al.. (2013). Retrieving wind statistics from average spectrum of continuous-wave lidar. Atmospheric measurement techniques. 6(7). 1673–1683. 33 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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