Steven Böing

781 total citations
23 papers, 409 citations indexed

About

Steven Böing is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Steven Böing has authored 23 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 4 papers in Computational Mechanics. Recurrent topics in Steven Böing's work include Meteorological Phenomena and Simulations (18 papers), Climate variability and models (9 papers) and Atmospheric aerosols and clouds (6 papers). Steven Böing is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Climate variability and models (9 papers) and Atmospheric aerosols and clouds (6 papers). Steven Böing collaborates with scholars based in United Kingdom, Netherlands and United States. Steven Böing's co-authors include Harm J. J. Jonker, A. Pier Siebesma, Wojciech W. Grabowski, Juerg Schmidli, Oliver Fuhrer, Jürg Schmidli, Linda Schlemmer, Jan O. Haerter, Silas Boye Nissen and Davide Panosetti and has published in prestigious journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Atmospheric chemistry and physics.

In The Last Decade

Steven Böing

20 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Böing United Kingdom 11 360 357 55 31 23 23 409
Dejan Janc Serbia 14 330 0.9× 325 0.9× 44 0.8× 15 0.5× 40 1.7× 34 374
Maike Ahlgrimm United Kingdom 14 610 1.7× 601 1.7× 31 0.6× 11 0.4× 38 1.7× 19 649
A. van de Boer Netherlands 8 145 0.4× 182 0.5× 84 1.5× 26 0.8× 8 0.3× 11 223
Laura Riihimaki United States 10 268 0.7× 284 0.8× 30 0.5× 5 0.2× 13 0.6× 34 323
L. Conangla Spain 6 235 0.7× 195 0.5× 164 3.0× 71 2.3× 7 0.3× 6 289
Subharthi Chowdhuri India 10 131 0.4× 151 0.4× 67 1.2× 58 1.9× 20 0.9× 24 204
Siddharth Kumar India 6 174 0.5× 188 0.5× 30 0.5× 25 0.8× 8 0.3× 12 226
Rieke Heinze Germany 7 276 0.8× 262 0.7× 72 1.3× 43 1.4× 18 0.8× 9 327
Leonhard Gantner Germany 12 305 0.8× 307 0.9× 83 1.5× 10 0.3× 6 0.3× 21 346
Barbara Hennemuth Germany 10 332 0.9× 301 0.8× 113 2.1× 26 0.8× 15 0.7× 26 389

Countries citing papers authored by Steven Böing

Since Specialization
Citations

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

Fields of papers citing papers by Steven Böing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Böing

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Böing. A scholar is included among the top collaborators of Steven Böing 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 Steven Böing. Steven Böing 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.
Finney, D, Alan Blyth, Paul R. Field, et al.. (2025). Microphysical fingerprints in anvil cloud albedo. Atmospheric chemistry and physics. 25(18). 10907–10929.
2.
Trigg, Mark A., et al.. (2025). The Sensitivity of Urban Pluvial Flooding to the Temporal Distribution of Rainfall Within Design Storms. Journal of Flood Risk Management. 18(3).
3.
Maybee, Ben, Cathryn E. Birch, Steven Böing, et al.. (2024). FOREWARNS: development and multifaceted verification of enhanced regional-scale surface water flood forecasts. Natural hazards and earth system sciences. 24(4). 1415–1436. 1 indexed citations
4.
Blyth, Alan, et al.. (2024). Can Recurrence Quantification Analysis Be Useful in the Interpretation of Airborne Turbulence Measurements?. Geophysical Research Letters. 51(6). 1 indexed citations
5.
Dritschel, David G., et al.. (2023). The 3D Elliptical Parcel-In-Cell (EPIC) method. St Andrews Research Repository (St Andrews Research Repository). 17. 100136–100136.
6.
Saffin, Leo, Adrian Lock, Lorenzo Tomassini, et al.. (2023). Kilometer‐Scale Simulations of Trade‐Wind Cumulus Capture Processes of Mesoscale Organization. Journal of Advances in Modeling Earth Systems. 15(3). 4 indexed citations
7.
Dritschel, David G., et al.. (2022). EPIC: The Elliptical Parcel-In-Cell method. St Andrews Research Repository (St Andrews Research Repository). 14. 100109–100109. 4 indexed citations
8.
Böing, Steven, et al.. (2020). A percentile‐based approach to rainfall scenario construction for surface‐water flood forecasts. Meteorological Applications. 27(6). 3 indexed citations
9.
Barton, Emma J., Christopher M. Taylor, Douglas J. Parker, et al.. (2019). A case‐study of land–atmosphere coupling during monsoon onset in northern India. Quarterly Journal of the Royal Meteorological Society. 146(731). 2891–2905. 15 indexed citations
10.
Böing, Steven, David G. Dritschel, Douglas J. Parker, & Alan Blyth. (2019). Comparison of the Moist Parcel‐in‐Cell (MPIC) model with large‐eddy simulation for an idealized cloud. Quarterly Journal of the Royal Meteorological Society. 145(722). 1865–1881. 4 indexed citations
11.
Schmidli, Juerg, Steven Böing, & Oliver Fuhrer. (2018). Accuracy of Simulated Diurnal Valley Winds in the Swiss Alps: Influence of Grid Resolution, Topography Filtering, and Land Surface Datasets. Atmosphere. 9(5). 196–196. 36 indexed citations
12.
Dritschel, David G., Steven Böing, Douglas J. Parker, & Alan Blyth. (2018). The moist parcel‐in‐cell method for modelling moist convection. Quarterly Journal of the Royal Meteorological Society. 144(715). 1695–1718. 4 indexed citations
13.
Panosetti, Davide, Steven Böing, Linda Schlemmer, & Jürg Schmidli. (2016). Idealized Large-Eddy and Convection-Resolving Simulations of Moist Convection over Mountainous Terrain. Journal of the Atmospheric Sciences. 73(10). 4021–4041. 41 indexed citations
14.
Böing, Steven. (2016). An object-based model for convective cold pool dynamics. 2(1). 19 indexed citations
15.
Böing, Steven. (2014). The interaction between deep convective clouds and their environment. Research Repository (Delft University of Technology). 3 indexed citations
16.
Crommelin, Daan, et al.. (2013). A data-driven multi-cloud model for stochastic parametrization of deep convection. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 371(1991). 20120374–20120374. 25 indexed citations
17.
Böing, Steven, et al.. (2013). On the Deceiving Aspects of Mixing Diagrams of Deep Cumulus Convection. Journal of the Atmospheric Sciences. 71(1). 56–68. 28 indexed citations
18.
Böing, Steven, Harm J. J. Jonker, A. Pier Siebesma, & Wojciech W. Grabowski. (2012). Influence of the Subcloud Layer on the Development of a Deep Convective Ensemble. Journal of the Atmospheric Sciences. 69(9). 2682–2698. 123 indexed citations
19.
Böing, Steven, et al.. (2012). Detrainment in deep convection. Geophysical Research Letters. 39(20). 35 indexed citations
20.
Böing, Steven, Harm J. J. Jonker, B.J.H. van de Wiel, & A.F. Moene. (2010). Intermittent Turbulence in Stratified Flow over a Canopy. Data Archiving and Networked Services (DANS). 4 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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