Harm J. J. Jonker

4.5k total citations
86 papers, 3.3k citations indexed

About

Harm J. J. Jonker is a scholar working on Computational Mechanics, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Harm J. J. Jonker has authored 86 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 43 papers in Environmental Engineering and 38 papers in Global and Planetary Change. Recurrent topics in Harm J. J. Jonker's work include Wind and Air Flow Studies (42 papers), Fluid Dynamics and Turbulent Flows (41 papers) and Meteorological Phenomena and Simulations (32 papers). Harm J. J. Jonker is often cited by papers focused on Wind and Air Flow Studies (42 papers), Fluid Dynamics and Turbulent Flows (41 papers) and Meteorological Phenomena and Simulations (32 papers). Harm J. J. Jonker collaborates with scholars based in Netherlands, United States and United Kingdom. Harm J. J. Jonker's co-authors include A. Pier Siebesma, Thijs Heus, Stephan R. de Roode, Peter G. Duynkerke, Roel Neggers, A.F. Moene, B.J.H. van de Wiel, K. Hanjalić, Maarten van Reeuwijk and Jordi Vilà-Guerau De Arellano and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and Journal of Fluid Mechanics.

In The Last Decade

Harm J. J. Jonker

84 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harm J. J. Jonker Netherlands 34 2.2k 2.1k 1.1k 901 395 86 3.3k
Siegfried Raasch Germany 31 2.5k 1.2× 2.3k 1.1× 1.5k 1.4× 828 0.9× 346 0.9× 77 3.8k
A.F. Moene Netherlands 30 2.0k 0.9× 2.2k 1.0× 1.4k 1.3× 694 0.8× 141 0.4× 96 3.1k
Joan Cuxart Spain 33 4.1k 1.9× 3.8k 1.8× 2.2k 2.1× 896 1.0× 333 0.8× 88 5.2k
Fotini Katopodes Chow United States 27 1.6k 0.7× 1.1k 0.5× 1.4k 1.3× 850 0.9× 115 0.3× 64 2.6k
Owen R. Coté United States 12 2.1k 0.9× 1.8k 0.8× 2.2k 2.0× 1.5k 1.7× 424 1.1× 26 4.1k
Ulf Högström Sweden 32 2.1k 1.0× 1.7k 0.8× 1.4k 1.3× 836 0.9× 506 1.3× 75 3.6k
Terry L. Clark United States 36 3.5k 1.6× 2.8k 1.3× 856 0.8× 584 0.6× 560 1.4× 88 4.5k
Peter G. Duynkerke Netherlands 36 3.7k 1.7× 3.2k 1.5× 1.2k 1.1× 608 0.7× 499 1.3× 71 4.2k
Andreas Bott Germany 28 2.3k 1.0× 1.9k 0.9× 716 0.7× 158 0.2× 217 0.5× 88 2.9k
Jielun Sun United States 35 2.8k 1.3× 2.6k 1.2× 1.7k 1.6× 854 0.9× 417 1.1× 83 3.9k

Countries citing papers authored by Harm J. J. Jonker

Since Specialization
Citations

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

Fields of papers citing papers by Harm J. J. Jonker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harm J. J. Jonker. 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 Harm J. J. Jonker. The network helps show where Harm J. J. Jonker may publish in the future.

Co-authorship network of co-authors of Harm J. J. Jonker

This figure shows the co-authorship network connecting the top 25 collaborators of Harm J. J. Jonker. A scholar is included among the top collaborators of Harm J. J. Jonker 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 Harm J. J. Jonker. Harm J. J. Jonker 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.
Roode, Stephan R. de, et al.. (2025). Improving Solar Radiation Forecasts During Stratocumulus Conditions Using Large Eddy Simulations and an Ensemble Kalman Filter. Journal of Advances in Modeling Earth Systems. 17(4).
3.
Verzijlbergh, Remco, et al.. (2023). Investigating energy production and wake losses of multi-gigawatt offshore wind farms with atmospheric large-eddy simulation. Wind energy science. 8(5). 787–805. 10 indexed citations
4.
Nuijens, Louise, et al.. (2021). Surface‐Layer Wind Shear and Momentum Transport From Clear‐Sky to Cloudy Weather Regimes Over Land. Journal of Geophysical Research Atmospheres. 126(21). e2021JD035087–e2021JD035087. 5 indexed citations
5.
Pourquié, M.J.B.M., et al.. (2018). Effects of a Fence on Pollutant Dispersion in a Boundary Layer Exposed to a Rural-to-Urban Transition. Boundary-Layer Meteorology. 169(2). 185–208. 4 indexed citations
6.
Jonker, Harm J. J., Maarten van Reeuwijk, Peter P. Sullivan, & Edward G. Patton. (2013). On the scaling of shear-driven entrainment: a DNS study. Journal of Fluid Mechanics. 732. 150–165. 28 indexed citations
7.
Jonker, Harm J. J.. (2010). Direct Numerical Simulation of Entrainment in Dry Convective Boundary Layers. 1 indexed citations
8.
Heus, Thijs, Chiel C. van Heerwaarden, Harm J. J. Jonker, et al.. (2010). Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications. Geoscientific model development. 3(2). 415–444. 207 indexed citations
9.
Jonker, Harm J. J.. (2010). Influence of Subcloud-layer Structures on the Transition to Deep Convection. 2 indexed citations
10.
Verzijlbergh, Remco, Harm J. J. Jonker, Thijs Heus, & Jordi Vilà-Guerau De Arellano. (2009). Turbulent dispersion in cloud-topped boundary layers. Atmospheric chemistry and physics. 9(4). 1289–1302. 20 indexed citations
11.
Jonker, Harm J. J., et al.. (2008). A Numerical and Analytical Study of Intermittency in the Stable Boundary Layer. Socio-Environmental Systems Modeling. 1 indexed citations
12.
Reeuwijk, Maarten van, et al.. (2008). Spectral analysis of boundary layers in Rayleigh-Bénard convection. Physical Review E. 77(1). 16303–16303. 13 indexed citations
13.
Reeuwijk, Maarten van, Harm J. J. Jonker, & K. Hanjalić. (2008). Wind and boundary layers in Rayleigh-Bénard convection. I. Analysis and modeling. Physical Review E. 77(3). 36311–36311. 38 indexed citations
14.
Kroon, P.S., et al.. (2007). Suitability of quantum cascade laser spectroscopy for CH 4 and N 2 O eddy covariance flux measurements. Biogeosciences. 4(5). 715–728. 73 indexed citations
15.
Heus, Thijs, Harm J. J. Jonker, Eric J. Griffith, & Frits H. Post. (2006). Lifecycle analysis of cumulus clouds using a 3D virtual reality environment. EngagedScholarship @ Cleveland State University (Cleveland State University). 1–3. 1 indexed citations
16.
Jonker, Harm J. J., Remco Verzijlbergh, Thijs Heus, & A. Pier Siebesma. (2006). The influence of the sub-cloud moisture field on cloud size distributions and the consequences for entrainment. EngagedScholarship @ Cleveland State University (Cleveland State University). 3 indexed citations
17.
Griffith, Eric J., et al.. (2006). A reprocessing tool for quantitative data analysis in a virtual environment. EngagedScholarship @ Cleveland State University (Cleveland State University). 212–215. 4 indexed citations
18.
Jonker, Harm J. J. & Jordi Vilà-Guerau De Arellano. (2005). The influence of chemistry on the length scales of reactive species in convective atmospheric boundary layers. Russian Journal of Physical Chemistry B. 24(5). 105–114. 2 indexed citations
19.
Jonker, Harm J. J., et al.. (2004). Laboratory experiments of entrainment in dry convective boundary layers. EngagedScholarship @ Cleveland State University (Cleveland State University). 195. 1 indexed citations
20.
Jonker, Harm J. J., A C C Coolen, & J. J. Denier van der Gon. (1989). Linear interpolation with binary neurons. 23–26. 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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