Marlene Kretschmer

3.5k total citations
35 papers, 1.0k citations indexed

About

Marlene Kretschmer is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Marlene Kretschmer has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 29 papers in Atmospheric Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Marlene Kretschmer's work include Climate variability and models (31 papers), Meteorological Phenomena and Simulations (17 papers) and Atmospheric Ozone and Climate (9 papers). Marlene Kretschmer is often cited by papers focused on Climate variability and models (31 papers), Meteorological Phenomena and Simulations (17 papers) and Atmospheric Ozone and Climate (9 papers). Marlene Kretschmer collaborates with scholars based in United Kingdom, Germany and United States. Marlene Kretschmer's co-authors include Dim Coumou, Jakob Runge, Jonathan F. Donges, Vivien Matthias, Mathew Barlow, Laurie Agel, Eli Tziperman, Judah Cohen, Theodore G. Shepherd and Theodore G. Shepherd and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Climate.

In The Last Decade

Marlene Kretschmer

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene Kretschmer United Kingdom 17 882 789 120 61 41 35 1.0k
Xingang Dai China 13 676 0.8× 547 0.7× 175 1.5× 63 1.0× 35 0.9× 31 815
David C. Bader United States 15 942 1.1× 831 1.1× 171 1.4× 100 1.6× 32 0.8× 31 1.1k
Paul C. Loikith United States 19 1.1k 1.2× 865 1.1× 79 0.7× 131 2.1× 60 1.5× 61 1.3k
Richard Grotjahn United States 15 952 1.1× 817 1.0× 180 1.5× 60 1.0× 53 1.3× 67 1.1k
Jan‐Huey Chen United States 17 1.1k 1.3× 1.2k 1.5× 406 3.4× 45 0.7× 15 0.4× 35 1.3k
Frida A.‐M. Bender Sweden 20 1.1k 1.3× 1.1k 1.3× 60 0.5× 30 0.5× 10 0.2× 54 1.2k
Andrey Gritsun Russia 11 655 0.7× 563 0.7× 153 1.3× 40 0.7× 26 0.6× 39 848
Mio Matsueda Japan 19 1.6k 1.8× 1.6k 2.0× 285 2.4× 89 1.5× 58 1.4× 45 1.8k
Christopher Kadow Germany 14 533 0.6× 528 0.7× 156 1.3× 111 1.8× 14 0.3× 29 751
Heinke Höck Germany 9 528 0.6× 431 0.5× 201 1.7× 28 0.5× 21 0.5× 15 747

Countries citing papers authored by Marlene Kretschmer

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Kretschmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Kretschmer

This figure shows the co-authorship network connecting the top 25 collaborators of Marlene Kretschmer. A scholar is included among the top collaborators of Marlene Kretschmer 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 Marlene Kretschmer. Marlene Kretschmer 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.
Kretschmer, Marlene, et al.. (2025). Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders. Weather and Climate Dynamics. 6(3). 995–1014.
2.
Agel, Laurie, Judah Cohen, Mathew Barlow, et al.. (2025). Cold-air outbreaks in the continental US: Connections with stratospheric variations. Science Advances. 11(28). eadq9557–eadq9557. 2 indexed citations
3.
Kretschmer, Marlene, et al.. (2025). Deep learning meets teleconnections: improving S2S predictions for European winter weather. SHILAP Revista de lepidopterología. 1(1). 15002–15002. 2 indexed citations
4.
5.
Ghosh, Rohit, et al.. (2025). Estimating the contribution of Arctic sea-ice loss to central Asia temperature anomalies: the case of winter 2020/2021. Environmental Research Letters. 20(3). 34007–34007. 2 indexed citations
6.
Sippel, Sebastian, Clair Barnes, Erich Fischer, et al.. (2024). Could an extremely cold central European winter such as 1963 happen again despite climate change?. Weather and Climate Dynamics. 5(3). 943–957. 12 indexed citations
7.
Karpechko, Alexey Yu., Isla R. Simpson, Marlene Kretschmer, et al.. (2024). Northern Hemisphere Stratosphere‐Troposphere Circulation Change in CMIP6 Models: 2. Mechanisms and Sources of the Spread. Journal of Geophysical Research Atmospheres. 129(13). 4 indexed citations
8.
Kretschmer, Marlene, et al.. (2024). A Forensic Investigation of Climate Model Biases in Teleconnections: The Case of the Relationship Between ENSO and the Northern Stratospheric Polar Vortex. Journal of Geophysical Research Atmospheres. 129(19). 2 indexed citations
9.
Shaw, Tiffany A., Paola A. Arias, Dim Coumou, et al.. (2024). Regional climate change: consensus, discrepancies, and ways forward. Frontiers in Climate. 6. 17 indexed citations
10.
Steinke, Jonathan, et al.. (2023). Seasonal seed scenario planning: co-design of a generic framework for matching seed supply and demand using seasonal climate forecasts. Climate Services. 32. 100410–100410. 2 indexed citations
11.
12.
Karpechko, Alexey Yu., Hilla Afargan‐Gerstman, Amy H. Butler, et al.. (2022). Northern Hemisphere Stratosphere‐Troposphere Circulation Change in CMIP6 Models: 1. Inter‐Model Spread and Scenario Sensitivity. Journal of Geophysical Research Atmospheres. 127(18). 22 indexed citations
13.
Messori, Gabriele, et al.. (2022). Stratospheric downward wave reflection events modulate North American weather regimes and cold spells. Weather and Climate Dynamics. 3(4). 1215–1236. 22 indexed citations
14.
Afargan‐Gerstman, Hilla, Daniela I. V. Domeisen, Martin P. King, et al.. (2021). Predictors and prediction skill for marine cold‐air outbreaks over the Barents Sea. Quarterly Journal of the Royal Meteorological Society. 147(738). 2638–2656. 8 indexed citations
15.
Lehmann, Jascha, Marlene Kretschmer, Bernhard Schauberger, & Frank Wechsung. (2020). Potential for Early Forecast of Moroccan Wheat Yields Based on Climatic Drivers. Geophysical Research Letters. 47(12). 24 indexed citations
16.
Pfleiderer, Peter, Carl‐Friedrich Schleussner, Tobias Geiger, & Marlene Kretschmer. (2020). Robust predictors for seasonal Atlantic hurricane activity identified with causal effect networks. Weather and Climate Dynamics. 1(2). 313–324. 10 indexed citations
17.
Kretschmer, Marlene, Giuseppe Zappa, & Theodore G. Shepherd. (2020). The role of Arctic sea ice loss in projected polar vortex changes. 2 indexed citations
18.
Kretschmer, Marlene, Giuseppe Zappa, & Theodore G. Shepherd. (2020). The role of Barents–Kara sea ice loss in projected polar vortex changes. Weather and Climate Dynamics. 1(2). 715–730. 35 indexed citations
19.
Capua, Giorgia Di, Marlene Kretschmer, Reik V. Donner, et al.. (2020). Tropical and mid-latitude teleconnections interacting with the Indian summer monsoon rainfall: a theory-guided causal effect network approach. Earth System Dynamics. 11(1). 17–34. 40 indexed citations
20.
Kretschmer, Marlene, Dim Coumou, Jonathan F. Donges, & Jakob Runge. (2016). Using Causal Effect Networks to analyze different Arctic drivers of mid-latitude winter circulation. Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)). 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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