S.P. van der Pijl

1.1k total citations · 1 hit paper
10 papers, 909 citations indexed

About

S.P. van der Pijl is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, S.P. van der Pijl has authored 10 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 4 papers in Environmental Engineering and 4 papers in Aerospace Engineering. Recurrent topics in S.P. van der Pijl's work include Fluid Dynamics and Heat Transfer (5 papers), Wind and Air Flow Studies (4 papers) and Wind Energy Research and Development (4 papers). S.P. van der Pijl is often cited by papers focused on Fluid Dynamics and Heat Transfer (5 papers), Wind and Air Flow Studies (4 papers) and Wind Energy Research and Development (4 papers). S.P. van der Pijl collaborates with scholars based in Netherlands, United Kingdom and Spain. S.P. van der Pijl's co-authors include Barry Koren, Benjamin Sanderse, C. Vuik, A. Śegal, Pieter Wesseling, J.G. Schepers, E. S. Politis, J. Phillips, Kurt Schaldemose Hansen and Ole Rathmann and has published in prestigious journals such as International Journal for Numerical Methods in Fluids, Wind Energy and Journal of Scientific Computing.

In The Last Decade

S.P. van der Pijl

10 papers receiving 855 citations

Hit Papers

Review of computational fluid dynamics for wind turbine w... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.P. van der Pijl Netherlands 8 603 521 426 130 47 10 909
Linlin Tian China 13 346 0.6× 338 0.6× 219 0.5× 123 0.9× 23 0.5× 47 561
Masoud Mirzaei Iran 15 398 0.7× 240 0.5× 86 0.2× 106 0.8× 11 0.2× 40 583
Xin Shen China 10 411 0.7× 188 0.4× 156 0.4× 67 0.5× 87 1.9× 25 485
Søren Juhl Andersen Denmark 16 788 1.3× 413 0.8× 513 1.2× 142 1.1× 46 1.0× 60 873
Michael Hölling Germany 21 835 1.4× 611 1.2× 574 1.3× 150 1.2× 137 2.9× 72 1.0k
Jinsheng Cai China 19 711 1.2× 722 1.4× 78 0.2× 104 0.8× 19 0.4× 98 1.1k
Haohua Zong China 21 1.1k 1.9× 832 1.6× 140 0.3× 198 1.5× 23 0.5× 73 1.2k
Christophe Corre France 18 243 0.4× 705 1.4× 109 0.3× 36 0.3× 47 1.0× 52 912
Melissa B. Rivers United States 14 764 1.3× 998 1.9× 121 0.3× 22 0.2× 13 0.3× 29 1.3k
Georg Raimund Pirrung Denmark 15 609 1.0× 455 0.9× 364 0.9× 43 0.3× 50 1.1× 50 698

Countries citing papers authored by S.P. van der Pijl

Since Specialization
Citations

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

Fields of papers citing papers by S.P. van der Pijl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.P. van der Pijl

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

All Works

10 of 10 papers shown
1.
Pijl, S.P. van der & Cornelis W. Oosterlee. (2011). An ENO-Based Method for Second-Order Equations and Application to the Control of Dike Levels. Journal of Scientific Computing. 50(2). 462–492. 7 indexed citations
2.
Sanderse, Benjamin, S.P. van der Pijl, & Barry Koren. (2011). Review of computational fluid dynamics for wind turbine wake aerodynamics. Wind Energy. 14(7). 799–819. 445 indexed citations breakdown →
3.
Pijl, S.P. van der, A. Śegal, C. Vuik, & Pieter Wesseling. (2008). Computing three-dimensional two-phase flows with a mass-conserving level set method. Computing and Visualization in Science. 11(4-6). 221–235. 22 indexed citations
4.
Barthelmie, R. J., E. S. Politis, John Prospathopoulos, et al.. (2008). Flow and wakes in large wind farms in complex terrain and offshore. UPM Digital Archive (Technical University of Madrid). 36–40. 29 indexed citations
5.
Schepers, J.G. & S.P. van der Pijl. (2007). Improved modelling of wake aerodynamics and assessment of new farm control strategies. Journal of Physics Conference Series. 75. 12039–12039. 61 indexed citations
6.
Barthelmie, R. J., Ole Rathmann, Sten Tronæs Frandsen, et al.. (2007). Modelling and measurements of wakes in large wind farms. Journal of Physics Conference Series. 75. 12049–12049. 109 indexed citations
7.
Pijl, S.P. van der. (2005). Computation of bubbly flows with a mass-conserving level-set method. Research Repository (Delft University of Technology). 10 indexed citations
8.
Pijl, S.P. van der, A. Śegal, C. Vuik, & Pieter Wesseling. (2004). A mass‐conserving Level‐Set method for modelling of multi‐phase flows. International Journal for Numerical Methods in Fluids. 47(4). 339–361. 166 indexed citations
9.
Pijl, S.P. van der, A. Śegal, & C. Vuik. (2003). A mass conserving level set (MCLS) method for modeling of multi-phase flows. Research Repository (Delft University of Technology). 59 indexed citations
10.
Ooms, G., et al.. (2001). Direct numerical simulation of oil-water mixtures using front capturing techniques. 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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