U. Damrath

1.8k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

U. Damrath is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, U. Damrath has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 1 paper in Oceanography. Recurrent topics in U. Damrath's work include Meteorological Phenomena and Simulations (7 papers), Climate variability and models (6 papers) and Precipitation Measurement and Analysis (3 papers). U. Damrath is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Climate variability and models (6 papers) and Precipitation Measurement and Analysis (3 papers). U. Damrath collaborates with scholars based in Germany, United States and Australia. U. Damrath's co-authors include J. Steppeler, G. Doms, Gregor Gregorič, Almut Gaßmann, Elizabeth E. Ebert, Werner Wergen, Michael E. Baldwin, Andreas Hense, Susanne Theis and Barbara Casati and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

U. Damrath

7 papers receiving 1.3k 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.

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						Papers	Cites
U. Damrath Germany	7	1.1k	1.1k	194	124	107	8	1.4k
Rita D. Roberts United States	18	1.4k 1.3×	1.2k 1.1×	360 1.9×	98 0.8×	74 0.7×	34	1.7k
Reinhold Steinacker Austria	19	1.4k 1.3×	1.2k 1.1×	380 2.0×	132 1.1×	90 0.8×	50	1.7k
Jean‐François Geleyn France	17	1.4k 1.3×	1.4k 1.3×	242 1.2×	82 0.7×	145 1.4×	23	1.6k
Éric Bazile France	20	1.3k 1.2×	1.1k 1.1×	358 1.8×	111 0.9×	70 0.7×	43	1.5k
Matthias Raschendorfer Germany	5	855 0.8×	830 0.8×	174 0.9×	65 0.5×	44 0.4×	7	1.0k
Yann Seity France	16	1.2k 1.1×	1.1k 1.0×	304 1.6×	52 0.4×	143 1.3×	35	1.5k
G. Doms Germany	4	601 0.5×	572 0.5×	107 0.6×	79 0.6×	84 0.8×	6	784
Joseph T. Schaefer United States	14	1.5k 1.4×	1.4k 1.3×	286 1.5×	75 0.6×	74 0.7×	38	1.8k
Gregor Gregorič Slovenia	6	604 0.6×	622 0.6×	115 0.6×	66 0.5×	89 0.8×	15	824
J. Steppeler Germany	9	711 0.6×	621 0.6×	143 0.7×	81 0.7×	102 1.0×	29	934

Countries citing papers authored by U. Damrath

Since Specialization

Citations

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

Fields of papers citing papers by U. Damrath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Damrath

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Casati, Barbara, Laurence J. Wilson, David B. Stephenson, et al.. (2008). Forecast verification: current status and future directions. Meteorological Applications. 15(1). 3–18. 224 indexed citations

2.

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

3.

Theis, Susanne, Andreas Hense, & U. Damrath. (2005). Probabilistic precipitation forecasts from a deterministic model: a pragmatic approach. Meteorological Applications. 12(3). 257–268. 153 indexed citations

4.

Ebert, Elizabeth E., U. Damrath, Werner Wergen, & Michael E. Baldwin. (2003). The WGNE Assessment of Short-term Quantitative Precipitation Forecasts. Bulletin of the American Meteorological Society. 84(4). 481–492. 123 indexed citations

5.

Ebert, Elizabeth E., U. Damrath, Werner Wergen, & Michael E. Baldwin. (2003). Supplement to The WGNE Assessment of Short-term Quantitative Precipitation Forecasts. Bulletin of the American Meteorological Society. 84(4). 492–492. 80 indexed citations

6.

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 →

7.

Damrath, U., et al.. (2000). Operational quantitative precipitation forecasting at the German Weather Service. Journal of Hydrology. 239(1-4). 260–285. 50 indexed citations

8.

Damrath, U. & Ralph Lehmann. (1988). On coupling air pollution transport models of different scales. Water Air & Soil Pollution. 40(1-2). 71–77.

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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