P. van der Laan

3.1k total citations · 1 hit paper
116 papers, 1.9k citations indexed

About

P. van der Laan is a scholar working on Aerospace Engineering, Environmental Engineering and Statistics and Probability. According to data from OpenAlex, P. van der Laan has authored 116 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Aerospace Engineering, 39 papers in Environmental Engineering and 30 papers in Statistics and Probability. Recurrent topics in P. van der Laan's work include Wind Energy Research and Development (41 papers), Wind and Air Flow Studies (38 papers) and Advanced Statistical Methods and Models (20 papers). P. van der Laan is often cited by papers focused on Wind Energy Research and Development (41 papers), Wind and Air Flow Studies (38 papers) and Advanced Statistical Methods and Models (20 papers). P. van der Laan collaborates with scholars based in Denmark, Netherlands and United States. P. van der Laan's co-authors include Pierre‐Elouan Réthoré, Niels N. Sørensen, S. Chakraborti, Alfredo Peña, Mark Kelly, Niels Troldborg, Søren Ott, Gunner Chr. Larsen, Tuhfe Göçmen and Kurt Schaldemose Hansen and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Technometrics and Biometrics.

In The Last Decade

P. van der Laan

106 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Wind turbine wake models developed at the technical university of Denmark: A review

2016 256 citations Tuhfe Göçmen, P. van der Laan et al. Renewable and Sustainable Energy Reviews profile →

Peers

P. van der Laan

AE

EE

CM

SP

SPU

Thierry A. Mara France

Penélope Ramírez Spain

Sai Hung Cheung Singapore

M. Pilch United States

Amandine Marrel France

Peter A. Parker United States

Pei-Ling Liu Taiwan

R. Calabria Italy

Jesse Frey United States

Geo Hahn United States

Thierry A. Mara France

P. van der Laan

91 ×0.1

AE

509 ×0.6

EE

67 ×0.2

CM

37 ×0.1

SP

785 ×2.3

SPU

Citations per year, relative to P. van der Laan P. van der Laan (= 1×) peers Thierry A. Mara

Countries citing papers authored by P. van der Laan

Since Specialization

Citations

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

Fields of papers citing papers by P. van der Laan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. van der Laan. 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 P. van der Laan. The network helps show where P. van der Laan may publish in the future.

Co-authorship network of co-authors of P. van der Laan

This figure shows the co-authorship network connecting the top 25 collaborators of P. van der Laan. A scholar is included among the top collaborators of P. van der Laan 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 P. van der Laan. P. van der Laan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Laan, P. van der, Winan J. van Houdt, Hester van Boven, et al.. (2025). The role of whole-genome sequencing for guiding systemic therapy in patients with soft tissue sarcoma. ESMO Open. 10(6). 105287–105287. 1 indexed citations

2.

Laan, P. van der, et al.. (2024). A simple steady-state inflow model of the neutral and stable atmospheric boundary layer applied to wind turbine wake simulations. Wind energy science. 9(10). 1985–2000. 1 indexed citations

3.

Laan, P. van der, et al.. (2023). Simulating wake losses of the Danish Energy Island wind farm cluster. Journal of Physics Conference Series. 2505(1). 12015–12015. 10 indexed citations

4.

Laan, P. van der, et al.. (2023). A RANS-based surrogate model for simulating wind turbine interaction. Journal of Physics Conference Series. 2505(1). 12016–12016. 1 indexed citations

5.

Kelly, Mark & P. van der Laan. (2023). From shear to veer: theory, statistics, and practical application. Wind energy science. 8(6). 975–998. 14 indexed citations

6.

Andersen, Søren Juhl, et al.. (2023). RANS-AD based ANN surrogate model for wind turbine wake deficits. Journal of Physics Conference Series. 2505(1). 12022–12022. 4 indexed citations

7.

Laan, P. van der, et al.. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics Conference Series. 2505(1). 12028–12028.

8.

Laan, P. van der, et al.. (2021). A pressure-driven atmospheric boundary layer model satisfying Rossby and Reynolds number similarity. Wind energy science. 6(3). 777–790. 7 indexed citations

9.

Laan, P. van der, Søren Juhl Andersen, Néstor Ramos‐García, et al.. (2019). Power curve and wake analyses of the Vestas multi-rotor demonstrator. Wind energy science. 4(2). 251–271. 58 indexed citations

10.

Laan, P. van der, Søren Juhl Andersen, & Pierre‐Elouan Réthoré. (2019). Brief communication: Wind-speed-independent actuator disk control for faster annual energy production calculations of wind farms using computational fluid dynamics. Wind energy science. 4(4). 645–651. 10 indexed citations

11.

Göçmen, Tuhfe, P. van der Laan, Pierre‐Elouan Réthoré, et al.. (2016). Wind turbine wake models developed at the technical university of Denmark: A review. Renewable and Sustainable Energy Reviews. 60. 752–769. 256 indexed citations breakdown →

12.

Laan, P. van der, et al.. (2013). Re-engineering Dutch social surveys: From single-purpose surveys to an integrated design. Statistical Journal of the IAOS. 29(1). 21–29. 3 indexed citations

13.

Sauret, Emilie, et al.. (2010). Adaption and use of a compressible flow code for turbomachinery design. QUT ePrints (Queensland University of Technology). 5 indexed citations

14.

Chakraborti, S., et al.. (2000). A class of distribution-free control charts. TU/e Research Portal (Eindhoven University of Technology). 200011. 2 indexed citations

15.

Laan, P. van der & Constance van Eeden. (1995). On selecting the best of two normal populations using a loss function. 9514. 1 indexed citations

16.

Coolen, Frank P. A. & P. van der Laan. (1995). On indifference zone selection with a preference threshold. TU/e Research Portal (Eindhoven University of Technology). 9502.

17.

Laan, P. van der. (1992). Subset selection : robustness and imprecise selection. 9210. 3 indexed citations

18.

Laan, P. van der. (1991). The efficiency of subset selection of an almost best treatment. 9119. 2 indexed citations

19.

Laan, P. van der. (1988). The use of Durbin's rank test.. The American Statistician. 42. 165–165. 1 indexed citations

20.

Laan, P. van der. (1964). Exact power of some rank tests. SPIRE - Sciences Po Institutional REpository. 2 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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