Sebastian Lerch

2.2k total citations · 1 hit paper
45 papers, 1.2k citations indexed

About

Sebastian Lerch is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Sebastian Lerch has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Sebastian Lerch's work include Meteorological Phenomena and Simulations (36 papers), Climate variability and models (24 papers) and Energy Load and Power Forecasting (11 papers). Sebastian Lerch is often cited by papers focused on Meteorological Phenomena and Simulations (36 papers), Climate variability and models (24 papers) and Energy Load and Power Forecasting (11 papers). Sebastian Lerch collaborates with scholars based in Germany, Hungary and Switzerland. Sebastian Lerch's co-authors include Stephan Rasp, Sándor Baran, Alexander I. Jordan, Fabian Krüger, Thordis L. Thorarinsdottir, Tilmann Gneiting, William E. Chapman, Aneesh C. Subramanian, Stephan Hemri and N. Robinson and has published in prestigious journals such as ACS Nano, Journal of Materials Chemistry A and Monthly Weather Review.

In The Last Decade

Sebastian Lerch

44 papers receiving 1.2k citations

Hit 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 Sebastian Lerch et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sebastian Lerch Germany	18	712	629	346	295	211	45	1.2k
Eric P. Grimit United States	13	502 0.7×	499 0.8×	225 0.7×	379 1.3×	234 1.1×	17	1.1k
Thordis L. Thorarinsdottir Norway	18	744 1.0×	926 1.5×	310 0.9×	178 0.6×	94 0.4×	41	1.4k
Stefano Castruccio United States	18	329 0.5×	569 0.9×	344 1.0×	99 0.3×	97 0.5×	55	1.1k
Jakob W. Messner Austria	15	373 0.5×	337 0.5×	133 0.4×	234 0.8×	113 0.5×	27	723
Anton H. Westveld Australia	4	459 0.6×	509 0.8×	186 0.5×	114 0.4×	96 0.5×	5	829
Sándor Baran Hungary	12	207 0.3×	208 0.3×	169 0.5×	168 0.6×	138 0.7×	56	589
Pierre Ailliot France	15	307 0.4×	316 0.5×	154 0.4×	140 0.5×	94 0.4×	44	812
David John Gagne United States	23	1.4k 1.9×	1.2k 1.9×	533 1.5×	116 0.4×	315 1.5×	73	2.1k
Raphaël Huser Saudi Arabia	20	281 0.4×	782 1.2×	302 0.9×	141 0.5×	105 0.5×	71	1.5k
Kenneth J. Westrick United States	9	532 0.7×	470 0.7×	124 0.4×	312 1.1×	70 0.3×	10	908

Countries citing papers authored by Sebastian Lerch

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Lerch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Lerch

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Lerch. A scholar is included among the top collaborators of Sebastian Lerch 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 Sebastian Lerch. Sebastian Lerch 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

Quinting, Julian, et al.. (2025). Uncertainty Quantification for Data-Driven Weather Models. 5(1). 6 indexed citations

Lerch, Sebastian, et al.. (2025). Performance assessment of neural network models for seasonal weather forecast postprocessing in the Alpine region. Advances in Water Resources. 204. 105061–105061. 2 indexed citations

Grams, Christian M., et al.. (2024). Multivariate post‐processing of probabilistic sub‐seasonal weather regime forecasts. Quarterly Journal of the Royal Meteorological Society. 150(765). 4771–4787. 1 indexed citations

Song, Mengmeng, Dazhi Yang, Sebastian Lerch, et al.. (2024). Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts. Advances in Atmospheric Sciences. 41(7). 1417–1437. 5 indexed citations

Chen, Jieyu, et al.. (2024). Generative machine learning methods for multivariate ensemble postprocessing. The Annals of Applied Statistics. 18(1). 11 indexed citations

Darmadi, Iwan, Sebastian Lerch, Róbson Rosa da Silva, et al.. (2024). A surface passivated fluorinated polymer nanocomposite for carbon monoxide resistant plasmonic hydrogen sensing. Journal of Materials Chemistry A. 12(13). 7906–7915. 3 indexed citations

Bhend, Jonas, Sebastian Lerch, Cristina Primo, et al.. (2023). The EUPPBench postprocessing benchmark dataset v1.0. Earth system science data. 15(6). 2635–2653. 17 indexed citations

Lerch, Sebastian, et al.. (2023). Can Machine Learning Models Be a Suitable Tool for Predicting Central European Cold Winter Weather on Subseasonal to Seasonal Time Scales?. 2(4). 3 indexed citations

Bracher, Johannes, et al.. (2023). Direction Augmentation in the Evaluation of Armed Conflict Predictions. International Interactions. 49(6). 989–1004. 1 indexed citations

10.

Lerch, Sebastian, et al.. (2023). Comparison of multivariate post‐processing methods using global ECMWF ensemble forecasts. Quarterly Journal of the Royal Meteorological Society. 149(752). 856–877. 19 indexed citations

11.

Lerch, Sebastian, et al.. (2022). Improving the prediction of the Madden–Julian Oscillation of the ECMWF model by post-processing. Earth System Dynamics. 13(3). 1157–1165. 5 indexed citations

12.

Lerch, Sebastian, et al.. (2021). Post-processing numerical weather prediction ensembles for probabilistic solar irradiance forecasting. 1 indexed citations

13.

Lerch, Sebastian. (2021). Interdisziplinarität als Merkmal erwachsenenpädagogischen Denkens und Handelns?. Hessische Blätter für Volksbildung. 71. 13–22.

14.

Lerch, Sebastian, et al.. (2020). Remember the past: a comparison of time-adaptive training schemes for non-homogeneous regression. Nonlinear processes in geophysics. 27(1). 23–34. 26 indexed citations

15.

Lerch, Sebastian, et al.. (2020). Simulation-based comparison of multivariate ensemble post-processing methods. Nonlinear processes in geophysics. 27(2). 349–371. 17 indexed citations

16.

Jordan, Alexander I., Fabian Krüger, & Sebastian Lerch. (2019). Evaluating Probabilistic Forecasts with scoringRules. Journal of Statistical Software. 90(12). 136 indexed citations

17.

Lerch, Sebastian, et al.. (2018). Desublimation Frosting on Nanoengineered Surfaces. ACS Nano. 12(8). 8288–8296. 35 indexed citations

18.

Jordan, Alexander I., Fabian Krüger, & Sebastian Lerch. (2017). Evaluating probabilistic forecasts with the R package scoringRules. arXiv (Cornell University). 10 indexed citations

19.

Lerch, Sebastian & Sándor Baran. (2016). Similarity-based semilocal estimation of post- processing models. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 36 indexed citations

20.

Baran, Sándor & Sebastian Lerch. (2015). Log‐normal distribution based Ensemble Model Output Statistics models for probabilistic wind‐speed forecasting. Quarterly Journal of the Royal Meteorological Society. 141(691). 2289–2299. 86 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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