Thijs Heus

2.7k total citations
50 papers, 1.6k citations indexed

About

Thijs Heus is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Thijs Heus has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Thijs Heus's work include Atmospheric aerosols and clouds (26 papers), Meteorological Phenomena and Simulations (26 papers) and Wind and Air Flow Studies (17 papers). Thijs Heus is often cited by papers focused on Atmospheric aerosols and clouds (26 papers), Meteorological Phenomena and Simulations (26 papers) and Wind and Air Flow Studies (17 papers). Thijs Heus collaborates with scholars based in United States, Germany and Netherlands. Thijs Heus's co-authors include Harm J. J. Jonker, Axel Seifert, A. Pier Siebesma, Roel Neggers, H.E.A. van den Akker, Chiel C. van Heerwaarden, Stephan R. de Roode, Björn Stevens, Robert Pincus and Jordi Vilà-Guerau De Arellano and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Thijs Heus

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thijs Heus United States 19 1.3k 1.3k 315 299 244 50 1.6k
Yefim L. Kogan United States 18 1.8k 1.3× 1.8k 1.4× 445 1.4× 140 0.5× 63 0.3× 50 1.9k
K.D. Beheng Germany 16 2.0k 1.5× 1.9k 1.5× 305 1.0× 130 0.4× 72 0.3× 38 2.1k
Roel Neggers Germany 22 1.9k 1.4× 1.8k 1.4× 209 0.7× 388 1.3× 171 0.7× 55 2.0k
Takanobu Yamaguchi United States 20 1.1k 0.8× 1.1k 0.8× 255 0.8× 77 0.3× 51 0.2× 51 1.2k
Vincent E. Larson United States 27 2.5k 1.9× 2.5k 1.9× 190 0.6× 243 0.8× 112 0.5× 80 2.7k
Jean‐Louis Brenguier France 22 1.6k 1.2× 1.8k 1.4× 652 2.1× 72 0.2× 88 0.4× 41 2.0k
Georgios Matheou United States 18 606 0.5× 532 0.4× 65 0.2× 289 1.0× 370 1.5× 49 912
Marie Lothon France 24 1.1k 0.9× 1.1k 0.8× 110 0.3× 468 1.6× 169 0.7× 80 1.4k
W. T. Roach United Kingdom 21 969 0.7× 931 0.7× 130 0.4× 296 1.0× 104 0.4× 42 1.2k
Frederick H. Carr United States 16 1.2k 0.9× 1.1k 0.8× 59 0.2× 315 1.1× 69 0.3× 32 1.4k

Countries citing papers authored by Thijs Heus

Since Specialization
Citations

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

Fields of papers citing papers by Thijs Heus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thijs Heus

This figure shows the co-authorship network connecting the top 25 collaborators of Thijs Heus. A scholar is included among the top collaborators of Thijs Heus 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 Thijs Heus. Thijs Heus 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.
Turner, David D., et al.. (2024). Improving the estimate of higher-order moments from lidar observations near the top of the convective boundary layer. Atmospheric measurement techniques. 17(22). 6595–6602.
2.
Turner, David D., et al.. (2023). A Methodology for Estimating the Energy and Moisture Budget of the Convective Boundary Layer Using Continuous Ground-Based Infrared Spectrometer Observations. Journal of Applied Meteorology and Climatology. 62(7). 901–914. 2 indexed citations
3.
Mechem, David B., et al.. (2022). Shallow Cumulus Entrainment Dynamics in a Sheared Environment. Journal of the Atmospheric Sciences. 79(12). 3275–3295. 3 indexed citations
4.
Heus, Thijs, et al.. (2021). Effects of Surface and Top Wind Shear on the Spatial Organization of Marine Stratocumulus‐Topped Boundary Layers. Journal of Geophysical Research Atmospheres. 126(11). 3 indexed citations
5.
Bickel, Jessica E., et al.. (2021). Utilizing peer teaching and reflection on low-stakes quizzes to improve concept learning outcomes in introductory calculus-based physics classes. European Journal of Physics. 42(5). 55701–55701. 7 indexed citations
6.
Ryan, Shawn D., et al.. (2020). The Contributions of Shear and Turbulence to Cloud Overlap for Cumulus Clouds. Journal of Geophysical Research Atmospheres. 125(10). 11 indexed citations
7.
Osman, M., David D. Turner, Thijs Heus, & Volker Wulfmeyer. (2019). Validating the Water Vapor Variance Similarity Relationship in the Interfacial Layer Using Observations and Large‐Eddy Simulations. Journal of Geophysical Research Atmospheres. 124(20). 10662–10675. 3 indexed citations
8.
Osman, M., David D. Turner, Thijs Heus, & Rob Newsom. (2018). Characteristics of Water Vapor Turbulence Profiles in Convective Boundary Layers During the Dry and Wet Seasons Over Darwin. Journal of Geophysical Research Atmospheres. 123(10). 4818–4836. 4 indexed citations
9.
Heerwaarden, Chiel C. van, Bart J. H. van Stratum, Thijs Heus, et al.. (2017). MicroHH 1.0: a computational fluid dynamics code for direct numerical simulation and large-eddy simulation of atmospheric boundary layer flows. Geoscientific model development. 10(8). 3145–3165. 81 indexed citations
10.
Sakradžija, Mirjana, Axel Seifert, & Thijs Heus. (2015). Fluctuations in a quasi-stationary shallow cumulus cloud ensemble. Nonlinear processes in geophysics. 22(1). 65–85. 41 indexed citations
11.
Sakradžija, Mirjana, Axel Seifert, & Thijs Heus. (2014). Shallow cumuli ensemble statistics for development of a stochastic parameterization. EGU General Assembly Conference Abstracts. 7139. 1 indexed citations
12.
Blossey, Peter N., Christopher S. Bretherton, Minghua Zhang, et al.. (2013). Marine low cloud sensitivity to an idealized climate change: The CGILS LES intercomparison. Journal of Advances in Modeling Earth Systems. 5(2). 234–258. 128 indexed citations
13.
Heus, Thijs & Axel Seifert. (2013). Automated tracking of shallow cumulus clouds in large domain, long duration large eddy simulations. Geoscientific model development. 6(4). 1261–1273. 54 indexed citations
14.
Seifert, Axel & Thijs Heus. (2013). Large-eddy simulation of organized precipitating trade wind cumulus clouds. Atmospheric chemistry and physics. 13(11). 5631–5645. 126 indexed citations
15.
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
16.
Heus, Thijs. (2008). Analysis of the downward transport in RICO observations. 1 indexed citations
17.
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
18.
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
19.
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
20.
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

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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