J. Steppeler

1.3k total citations · 1 hit paper
29 papers, 934 citations indexed

About

J. Steppeler is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, J. Steppeler has authored 29 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 12 papers in Computational Mechanics and 9 papers in Global and Planetary Change. Recurrent topics in J. Steppeler's work include Meteorological Phenomena and Simulations (21 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Climate variability and models (8 papers). J. Steppeler is often cited by papers focused on Meteorological Phenomena and Simulations (21 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Climate variability and models (8 papers). J. Steppeler collaborates with scholars based in Germany, United Kingdom and United States. J. Steppeler's co-authors include U. Damrath, G. Doms, Gregor Gregorič, Almut Gaßmann, Luca Bonaventura, Bettina Richter, Erdmann Heise, Andreas Dobler, F. Fang and I. M. Navon and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Climate and Journal of Computational Physics.

In The Last Decade

J. Steppeler

27 papers receiving 893 citations

Hit Papers

Meso-gamma scale forecasts using the nonhydrostatic model LM 2002 2026 2010 2018 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Meso-gamma scale forecasts using the nonhydrostatic model LM
    2002 702 citations J. Steppeler, G. Doms et al. Meteorology and Atmospheric Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Steppeler Germany 9 711 621 143 102 99 29 934
Almut Gaßmann Germany 11 850 1.2× 707 1.1× 117 0.8× 176 1.7× 139 1.4× 20 1.1k
G. Doms Germany 4 601 0.8× 572 0.9× 107 0.7× 84 0.8× 27 0.3× 6 784
F. K. Chow United States 16 605 0.9× 526 0.8× 354 2.5× 51 0.5× 72 0.7× 34 913
U. Damrath Germany 7 1.1k 1.5× 1.1k 1.7× 194 1.4× 107 1.0× 25 0.3× 8 1.4k
Gregor Gregorič Slovenia 6 604 0.8× 622 1.0× 115 0.8× 89 0.9× 20 0.2× 15 824
Jochen Förstner Germany 11 1.1k 1.5× 1.0k 1.6× 171 1.2× 77 0.8× 65 0.7× 16 1.4k
Matthias Raschendorfer Germany 5 855 1.2× 830 1.3× 174 1.2× 44 0.4× 39 0.4× 7 1.0k
Richard Grotjahn United States 15 817 1.1× 952 1.5× 60 0.4× 180 1.8× 33 0.3× 67 1.1k
Catherine Rio France 24 1.4k 2.0× 1.4k 2.3× 186 1.3× 188 1.8× 67 0.7× 35 1.7k
Jean‐François Geleyn France 17 1.4k 2.0× 1.4k 2.2× 242 1.7× 145 1.4× 62 0.6× 23 1.6k

Countries citing papers authored by J. Steppeler

Since Specialization
Citations

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

Fields of papers citing papers by J. Steppeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Steppeler

This figure shows the co-authorship network connecting the top 25 collaborators of J. Steppeler. A scholar is included among the top collaborators of J. Steppeler 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 J. Steppeler. J. Steppeler 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.
Fang, F., et al.. (2021). Demonstration of a three-dimensional dynamically adaptive atmospheric dynamic framework for the simulation of mountain waves. Meteorology and Atmospheric Physics. 133(6). 1627–1645. 5 indexed citations
2.
Steppeler, J., et al.. (2019). Third-order sparse grid generalized spectral elements on hexagonal cells for uniform-speed advection in a plane. Meteorology and Atmospheric Physics. 132(5). 703–719. 1 indexed citations
3.
Li, Jianping, J. Steppeler, F. Fang, et al.. (2019). Potential Numerical Techniques and Challenges for Atmospheric Modeling. Bulletin of the American Meteorological Society. 100(9). ES239–ES242. 3 indexed citations
4.
Steppeler, J., et al.. (2019). o3o3: A Variant of Spectral Elements with a Regular Collocation Grid. Monthly Weather Review. 147(6). 2067–2082. 3 indexed citations
5.
Steppeler, J. & Joseph B. Klemp. (2017). Advection on Cut-Cell Grids for an Idealized Mountain of Constant Slope. Monthly Weather Review. 145(5). 1765–1777. 6 indexed citations
6.
Steppeler, J., et al.. (2013). Forecasts covering one month using a cut-cell model. Geoscientific model development. 6(4). 875–882. 12 indexed citations
7.
Steppeler, J., et al.. (2011). A 5-day hindcast experiment using a cut cell z-coordinate model. Atmospheric Science Letters. 12(4). 340–344. 6 indexed citations
8.
Steppeler, J., Pilar Rípodas, Bastiaan Jonkheid, & Stephen Thomas. (2008). Third-Order Finite-Difference Schemes on Icosahedral-Type Grids on the Sphere. Monthly Weather Review. 136(7). 2683–2698. 8 indexed citations
9.
Steppeler, J., et al.. (2006). Prediction of Clouds and Rain Using a z-Coordinate Nonhydrostatic Model. Monthly Weather Review. 134(12). 3625–3643. 24 indexed citations
10.
Steppeler, J., et al.. (2002). Review of numerical methods for nonhydrostatic weather prediction models. Meteorology and Atmospheric Physics. 82(1-4). 287–301. 50 indexed citations
11.
Steppeler, J., et al.. (2002). Meso-gamma scale forecasts using the nonhydrostatic model LM. Meteorology and Atmospheric Physics. 82(1-4). 75–96. 702 indexed citations breakdown →
12.
Saito, Kazuo, J. Steppeler, Teruyuki Kato, et al.. (2001). meeting summaries: Report on the Third International SRNWP (Short–Range Numerical Weather Prediction)Workshops on Nonhydrostatic Modelling. Bulletin of the American Meteorological Society. 82(10). 2245–2250. 2 indexed citations
13.
Steppeler, J., et al.. (2000). Requirements and Problems in Parallel Model Development at DWD. Scientific Programming. 8(1). 13–22. 9 indexed citations
14.
Steppeler, J.. (1997). The Southern Oscillation as an Example of a Simple, Ordered Subsystem of a Complex Chaotic System. Journal of Climate. 10(3). 473–480. 2 indexed citations
15.
16.
17.
Steppeler, J.. (1988). A Galerkin finite element-spectral weather forecast model in hybrid coordinates. Computers & Mathematics with Applications. 16(1-2). 23–30. 6 indexed citations
18.
Steppeler, J.. (1988). A cubic spline Galerkin scheme for the vertical discretization of atmospheric models. Quarterly Journal of the Royal Meteorological Society. 114(484). 1545–1561. 1 indexed citations
19.
Steppeler, J.. (1987). Energy conserving galerkin finite element schemes for the primitive equations of numerical weather prediction. Journal of Computational Physics. 69(1). 258–264. 9 indexed citations
20.
Steppeler, J.. (1978). Fluid computations using infinitesimal functionals. Computers & Fluids. 6(4). 241–258. 3 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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