Lea Beusch

526 total citations
13 papers, 241 citations indexed

About

Lea Beusch is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Lea Beusch has authored 13 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 1 paper in Oceanography. Recurrent topics in Lea Beusch's work include Meteorological Phenomena and Simulations (11 papers), Climate variability and models (10 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Lea Beusch is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Climate variability and models (10 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Lea Beusch collaborates with scholars based in Switzerland, Germany and Australia. Lea Beusch's co-authors include Sonia I. Seneviratne, Lukas Gudmundsson, Loris Foresti, Carl‐Friedrich Schleussner, Ioannis V. Sideris, Daniele Nerini, Urs Germann, Ulrich Hamann, Marco Gabella and Mathias Hauser and has published in prestigious journals such as Geophysical Research Letters, Remote Sensing and Scientific Data.

In The Last Decade

Lea Beusch

13 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lea Beusch Switzerland 8 180 169 32 23 20 13 241
Chibuike Chiedozie Ibebuchi United States 10 204 1.1× 170 1.0× 28 0.9× 11 0.5× 47 2.4× 45 270
Tae‐Young Goo South Korea 7 146 0.8× 127 0.8× 15 0.5× 8 0.3× 17 0.8× 25 178
Clare M. Flynn United States 8 220 1.2× 219 1.3× 23 0.7× 17 0.7× 13 0.7× 16 291
Todd W. Moore United States 13 301 1.7× 274 1.6× 59 1.8× 13 0.6× 8 0.4× 28 363
A. Ganshin Russia 9 352 2.0× 291 1.7× 23 0.7× 17 0.7× 6 0.3× 20 379
Robi Muharsyah Indonesia 9 146 0.8× 163 1.0× 36 1.1× 4 0.2× 38 1.9× 35 246
João António Martins Careto Portugal 9 159 0.9× 111 0.7× 23 0.7× 2 0.1× 12 0.6× 14 211
Samuel Takele Kenea South Korea 8 159 0.9× 138 0.8× 56 1.8× 9 0.4× 9 0.5× 25 233
V. R. Durai India 11 288 1.6× 267 1.6× 75 2.3× 10 0.4× 18 0.9× 20 365
Natasa Skific United States 9 345 1.9× 350 2.1× 11 0.3× 10 0.4× 40 2.0× 13 432

Countries citing papers authored by Lea Beusch

Since Specialization
Citations

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

Fields of papers citing papers by Lea Beusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Beusch

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

All Works

13 of 13 papers shown
1.
Schwaab, Jonas, Mathias Hauser, Robin Lamboll, et al.. (2024). Spatially resolved emulated annual temperature projections for overshoot pathways. Scientific Data. 11(1). 1262–1262. 3 indexed citations
2.
Nath, Shruti, Quentin Lejeune, Lea Beusch, Sonia I. Seneviratne, & Carl‐Friedrich Schleussner. (2022). MESMER-M: an Earth system model emulator for spatially resolved monthly temperature. Earth System Dynamics. 13(2). 851–877. 21 indexed citations
3.
Beusch, Lea, Alexander Nauels, Lukas Gudmundsson, et al.. (2022). Responsibility of major emitters for country-level warming and extreme hot years. Communications Earth & Environment. 3(1). 31 indexed citations
4.
Beusch, Lea, Zebedee Nicholls, Lukas Gudmundsson, et al.. (2022). From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3). Geoscientific model development. 15(5). 2085–2103. 20 indexed citations
5.
Quilcaille, Yann, Lukas Gudmundsson, Lea Beusch, Mathias Hauser, & Sonia I. Seneviratne. (2022). Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models. Geophysical Research Letters. 49(17). e2022GL099012–e2022GL099012. 15 indexed citations
7.
Nath, Shruti, Quentin Lejeune, Lea Beusch, Carl‐Friedrich Schleussner, & Sonia I. Seneviratne. (2021). MESMER-M: an Earth System Model emulator for spatially resolved monthly temperatures. 4 indexed citations
8.
Beusch, Lea, Lukas Gudmundsson, & Sonia I. Seneviratne. (2020). Emulating Earth system model temperatures with MESMER: from global mean temperature trajectories to grid-point-level realizations on land. Earth System Dynamics. 11(1). 139–159. 50 indexed citations
9.
Beusch, Lea, Lukas Gudmundsson, & Sonia I. Seneviratne. (2020). Crossbreeding CMIP6 Earth System Models With an Emulator for Regionally Optimized Land Temperature Projections. Geophysical Research Letters. 47(15). 14 indexed citations
10.
Foresti, Loris, Ioannis V. Sideris, Daniele Nerini, Lea Beusch, & Urs Germann. (2019). Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach. Weather and Forecasting. 34(5). 1547–1569. 43 indexed citations
11.
Hamann, Ulrich, Lea Beusch, Loris Foresti, et al.. (2019). Nowcasting of thunderstorm severity with Machine Learning in the Alpine Region. Arcimis (State Meteorological Agency). 2 indexed citations
12.
Beusch, Lea, Loris Foresti, Marco Gabella, & Ulrich Hamann. (2018). Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks. Remote Sensing. 10(6). 939–939. 29 indexed citations
13.
Beusch, Lea, Shira Raveh‐Rubin, Michael Sprenger, & Lukas Papritz. (2017). Dynamics of a Puelche foehn event in the Andes. Meteorologische Zeitschrift. 27(1). 67–80. 6 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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