Christian Kühnlein

855 total citations
19 papers, 427 citations indexed

About

Christian Kühnlein is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Christian Kühnlein has authored 19 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 11 papers in Computational Mechanics and 6 papers in Global and Planetary Change. Recurrent topics in Christian Kühnlein's work include Meteorological Phenomena and Simulations (17 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Tropical and Extratropical Cyclones Research (6 papers). Christian Kühnlein is often cited by papers focused on Meteorological Phenomena and Simulations (17 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Tropical and Extratropical Cyclones Research (6 papers). Christian Kühnlein collaborates with scholars based in United Kingdom, Germany and France. Christian Kühnlein's co-authors include Piotr K. Smolarkiewicz, Nils Wedi, Christian Keil, George C. Craig, Christoph Gebhardt, Andreas Dörnbrack, Willem Deconinck, Joanna Szmelter, Mats Hamrud and Zbigniew Piotrowski and has published in prestigious journals such as Journal of Computational Physics, Monthly Weather Review and Atmospheric chemistry and physics.

In The Last Decade

Christian Kühnlein

18 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Kühnlein United Kingdom 12 311 230 125 64 27 19 427
Oksana Guba United States 9 393 1.3× 291 1.3× 137 1.1× 25 0.4× 60 2.2× 24 520
Mariano Hortal United Kingdom 9 539 1.7× 433 1.9× 104 0.8× 69 1.1× 92 3.4× 10 625
Koji Goto Japan 8 237 0.8× 150 0.7× 88 0.7× 29 0.5× 57 2.1× 14 331
Xueshun Shen China 14 656 2.1× 527 2.3× 90 0.7× 80 1.3× 79 2.9× 57 759
Miodrag Rančić United States 8 218 0.7× 104 0.5× 158 1.3× 31 0.5× 52 1.9× 18 318
Xindong Peng China 14 475 1.5× 345 1.5× 154 1.2× 59 0.9× 100 3.7× 47 618
Slavko Brdar Germany 9 238 0.8× 203 0.9× 76 0.6× 38 0.6× 12 0.4× 13 306
Abdessamad Qaddouri Canada 9 367 1.2× 297 1.3× 82 0.7× 52 0.8× 40 1.5× 15 467
David L. Williamson United States 13 486 1.6× 411 1.8× 97 0.8× 17 0.3× 101 3.7× 21 609
J. Straka United States 5 480 1.5× 227 1.0× 118 0.9× 179 2.8× 43 1.6× 10 591

Countries citing papers authored by Christian Kühnlein

Since Specialization
Citations

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

Fields of papers citing papers by Christian Kühnlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Kühnlein

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

All Works

19 of 19 papers shown
1.
Ubbiali, Stefano, Christian Kühnlein, Christoph Schär, et al.. (2025). Exploring a high-level programming model for the NWP domain using ECMWF microphysics schemes. Geoscientific model development. 18(2). 529–546. 1 indexed citations
2.
Wernli, Heini, et al.. (2025). Revealing the dynamics of a local Alpine windstorm using large-eddy simulations. Weather and Climate Dynamics. 6(2). 447–469.
3.
Weller, Hilary, et al.. (2022). Adaptively implicit MPDATA advection for arbitrary Courant numbers and meshes. Quarterly Journal of the Royal Meteorological Society. 149(751). 369–388. 1 indexed citations
4.
Rackow, Thomas, Nils Wedi, Kristian Mogensen, et al.. (2021). DYAMOND-II simulations with IFS-FESOM2. 1 indexed citations
5.
Kühnlein, Christian, Willem Deconinck, Rupert Klein, et al.. (2019). FVM 1.0: a nonhydrostatic finite-volume dynamical core for the IFS. Geoscientific model development. 12(2). 651–676. 44 indexed citations
6.
Bénard, Pierre, et al.. (2019). Semi‐implicit integration of the unified equations in a mass‐based coordinate: model formulation and numerical testing. Quarterly Journal of the Royal Meteorological Society. 145(725). 3387–3408. 4 indexed citations
7.
Kühnlein, Christian, Willem Deconinck, Rupert Klein, et al.. (2018). FVM 1.0: A nonhydrostatic finite-volume dynamical coreformulation for IFS. Loughborough University Institutional Repository (Loughborough University). 5 indexed citations
8.
Smolarkiewicz, Piotr K., Christian Kühnlein, & Nils Wedi. (2018). Semi-implicit integrations of perturbation equations for all-scale atmospheric dynamics. Journal of Computational Physics. 376. 145–159. 17 indexed citations
9.
Kühnlein, Christian, et al.. (2018). MPDATA: Third-order accuracy for variable flows. Journal of Computational Physics. 359. 361–379. 15 indexed citations
10.
Deconinck, Willem, Péter Bauer, Michail Diamantakis, et al.. (2017). Atlas : A library for numerical weather prediction and climate modelling. Computer Physics Communications. 220. 188–204. 24 indexed citations
11.
Kühnlein, Christian & Piotr K. Smolarkiewicz. (2017). An unstructured-mesh finite-volume MPDATA for compressible atmospheric dynamics. Journal of Computational Physics. 334. 16–30. 18 indexed citations
12.
Smolarkiewicz, Piotr K., Christian Kühnlein, & Wojciech W. Grabowski. (2017). A finite-volume module for cloud-resolving simulations of global atmospheric flows. Journal of Computational Physics. 341. 208–229. 11 indexed citations
13.
Smolarkiewicz, Piotr K., Willem Deconinck, Mats Hamrud, et al.. (2016). A finite-volume module for simulating global all-scale atmospheric flows. Journal of Computational Physics. 314. 287–304. 33 indexed citations
14.
Unterstraßer, Simon, Roberto Paoli, Ingo Sölch, Christian Kühnlein, & Thomas Gerz. (2014). Dimension of aircraft exhaust plumes at cruise conditions: effect of wake vortices. Atmospheric chemistry and physics. 14(5). 2713–2733. 19 indexed citations
15.
Smolarkiewicz, Piotr K., Christian Kühnlein, & Nils Wedi. (2014). A consistent framework for discrete integrations of soundproof and compressible PDEs of atmospheric dynamics. Journal of Computational Physics. 263. 185–205. 67 indexed citations
16.
Kühnlein, Christian, Christian Keil, George C. Craig, & Christoph Gebhardt. (2013). The impact of downscaled initial condition perturbations on convective‐scale ensemble forecasts of precipitation. Quarterly Journal of the Royal Meteorological Society. 140(682). 1552–1562. 103 indexed citations
17.
Kühnlein, Christian, Andreas Dörnbrack, & Martin Weißmann. (2013). High-Resolution Doppler Lidar Observations of Transient Downslope Flows and Rotors. Monthly Weather Review. 141(10). 3257–3272. 15 indexed citations
18.
Kühnlein, Christian, Piotr K. Smolarkiewicz, & Andreas Dörnbrack. (2011). Modelling atmospheric flows with adaptive moving meshes. Journal of Computational Physics. 231(7). 2741–2763. 47 indexed citations
19.
Kühnlein, Christian. (2006). Clear-air turbulence and gravity waves in a front/jet system. The Journal of Allergy and Clinical Immunology In Practice. 6(5). 1758–1760.e1. 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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