Stephan Rasp

3.0k total citations · 6 hit papers
24 papers, 1.4k citations indexed

About

Stephan Rasp is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Stephan Rasp has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 14 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Stephan Rasp's work include Meteorological Phenomena and Simulations (18 papers), Climate variability and models (13 papers) and Precipitation Measurement and Analysis (3 papers). Stephan Rasp is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Climate variability and models (13 papers) and Precipitation Measurement and Analysis (3 papers). Stephan Rasp collaborates with scholars based in Germany, United States and United Kingdom. Stephan Rasp's co-authors include Sebastian Lerch, Michael S. Pritchard, Pierre Gentine, G. Reinaudi, Tom Beucler, Jordan Ott, Pierre Baldi, Axel Seifert, George C. Craig and Tobias Selz and has published in prestigious journals such as Nature, Physical Review Letters and Geophysical Research Letters.

In The Last Decade

Stephan Rasp

24 papers receiving 1.3k citations

Hit Papers

5 papers align trajectories

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.

Neural Networks for Postprocessing Ensemble Weather Forecasts

2018 296 citations Stephan Rasp, Sebastian Lerch Monthly Weather Review profile →
Could Machine Learning Break the Convection Parameterization Deadlock?

2018 262 citations Pierre Gentine, Michael S. Pritchard et al. Geophysical Research Letters profile →
Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems

2021 197 citations Tom Beucler, Michael S. Pritchard et al. Physical Review Letters profile →
Neural general circulation models for weather and climate

2024 153 citations Dmitrii Kochkov, Janni Yuval et al. Nature profile →
WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models

2024 82 citations Stephan Rasp, Stephan Hoyer et al. Journal of Advances in Modeling Earth Systems profile →
Climate-invariant machine learning

2024 46 citations Tom Beucler, Pierre Gentine et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephan Rasp Germany	15	942	819	305	180	123	24	1.4k
Peter Dueben United Kingdom	17	810 0.9×	669 0.8×	310 1.0×	176 1.0×	73 0.6×	32	1.2k
Rémi Lam United States	10	670 0.7×	534 0.7×	276 0.9×	248 1.4×	100 0.8×	15	1.4k
David John Gagne United States	23	1.4k 1.5×	1.2k 1.5×	533 1.7×	315 1.8×	52 0.4×	73	2.1k
Peter Düben United Kingdom	18	944 1.0×	814 1.0×	92 0.3×	110 0.6×	90 0.7×	44	1.4k
Alberto Carrassi France	22	1.2k 1.3×	976 1.2×	302 1.0×	202 1.1×	223 1.8×	73	1.7k
Michael S. Fox‐Rabinovitz United States	18	938 1.0×	794 1.0×	177 0.6×	111 0.6×	60 0.5×	43	1.1k
Petra Friederichs Germany	21	1.2k 1.2×	1.4k 1.8×	244 0.8×	111 0.6×	63 0.5×	58	2.1k
Michael Scheuerer United States	19	875 0.9×	857 1.0×	266 0.9×	107 0.6×	27 0.2×	39	1.3k
Pedram Hassanzadeh United States	19	731 0.8×	644 0.8×	152 0.5×	108 0.6×	182 1.5×	60	1.2k
Caren Marzban United States	21	734 0.8×	633 0.8×	347 1.1×	164 0.9×	36 0.3×	49	1.3k

Countries citing papers authored by Stephan Rasp

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Rasp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Rasp

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

All Works

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20 of 20 papers shown

Kochkov, Dmitrii, Janni Yuval, Ian Langmore, et al.. (2024). Neural general circulation models for weather and climate. Nature. 632(8027). 1060–1066. 153 indexed citations breakdown →

Beucler, Tom, Pierre Gentine, Janni Yuval, et al.. (2024). Climate-invariant machine learning. Science Advances. 10(6). eadj7250–eadj7250. 46 indexed citations breakdown →

Rasp, Stephan, Stephan Hoyer, Ian Langmore, et al.. (2024). WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models. Journal of Advances in Modeling Earth Systems. 16(6). 82 indexed citations breakdown →

Rasp, Stephan, et al.. (2022). Using neural networks to improve simulations in the gray zone. Nonlinear processes in geophysics. 29(2). 171–181. 2 indexed citations

Janjić, Tijana, et al.. (2021). Training a convolutional neural network to conserve mass in data assimilation. Nonlinear processes in geophysics. 28(1). 111–119. 21 indexed citations

Beucler, Tom, Michael S. Pritchard, Stephan Rasp, et al.. (2021). Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems. Physical Review Letters. 126(9). 98302–98302. 197 indexed citations breakdown →

Rasp, Stephan, Hauke Schulz, Sandrine Bony, & Björn Stevens. (2021). Do Computers Daydream of Electric Fish, Flowers, Sugar, and Gravel in the Clouds? Crowdsourcing and Deep Learning to Explore the Mesoscale Organization of Shallow Convection. Bulletin of the American Meteorological Society. 102(4). 328–336. 1 indexed citations

Rasp, Stephan. (2020). Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0). Geoscientific model development. 13(5). 2185–2196. 55 indexed citations

Seifert, Axel & Stephan Rasp. (2020). Potential and Limitations of Machine Learning for Modeling Warm‐Rain Cloud Microphysical Processes. Journal of Advances in Modeling Earth Systems. 12(12). 57 indexed citations

10.

Zeng, Yuefei, Tijana Janjić, Alberto de Lózar, et al.. (2020). Comparison of Methods Accounting for Subgrid-Scale Model Error in Convective-Scale Data Assimilation. Monthly Weather Review. 148(6). 2457–2477. 13 indexed citations

11.

Rasp, Stephan, Hauke Schulz, Sandrine Bony, & Björn Stevens. (2019). Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. arXiv (Cornell University). 2 indexed citations

12.

Rasp, Stephan. (2019). Statistical methods and machine learning in weather and climate modeling. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München). 1 indexed citations

13.

Rasp, Stephan, et al.. (2019). Stochastic Parameterization of Processes Leading to Convective Initiation in Kilometer-Scale Models. Monthly Weather Review. 147(11). 3917–3934. 32 indexed citations

14.

Keil, Christian, et al.. (2019). Relative contribution of soil moisture, boundary‐layer and microphysical perturbations on convective predictability in different weather regimes. Quarterly Journal of the Royal Meteorological Society. 145(724). 3102–3115. 43 indexed citations

15.

Gentine, Pierre, et al.. (2018). Could Machine Learning Break the Convection Parameterization Deadlock?. Geophysical Research Letters. 45(11). 5742–5751. 262 indexed citations breakdown →

16.

Rasp, Stephan. (2018). raspstephan/CBRAIN-CAM. Figshare. 2 indexed citations

17.

Rasp, Stephan & Sebastian Lerch. (2018). Neural Networks for Postprocessing Ensemble Weather Forecasts. Monthly Weather Review. 146(11). 3885–3900. 296 indexed citations breakdown →

18.

Rasp, Stephan. (2017). Variability and clustering of mid-latitude summertime convection - Metadata. Figshare. 1 indexed citations

19.

Rasp, Stephan, Tobias Selz, & George C. Craig. (2017). Variability and Clustering of Midlatitude Summertime Convection: Testing the Craig and Cohen Theory in a Convection-Permitting Ensemble with Stochastic Boundary Layer Perturbations. Journal of the Atmospheric Sciences. 75(2). 691–706. 28 indexed citations

20.

Rasp, Stephan, Tobias Selz, & George C. Craig. (2016). Convective and Slantwise Trajectory Ascent in Convection-Permitting Simulations of Midlatitude Cyclones. Monthly Weather Review. 144(10). 3961–3976. 28 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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