Gregor C. Leckebusch

6.8k total citations
81 papers, 3.9k citations indexed

About

Gregor C. Leckebusch is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Gregor C. Leckebusch has authored 81 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Global and Planetary Change, 65 papers in Atmospheric Science and 8 papers in Oceanography. Recurrent topics in Gregor C. Leckebusch's work include Climate variability and models (69 papers), Meteorological Phenomena and Simulations (53 papers) and Tropical and Extratropical Cyclones Research (40 papers). Gregor C. Leckebusch is often cited by papers focused on Climate variability and models (69 papers), Meteorological Phenomena and Simulations (53 papers) and Tropical and Extratropical Cyclones Research (40 papers). Gregor C. Leckebusch collaborates with scholars based in Germany, United Kingdom and Australia. Gregor C. Leckebusch's co-authors include Uwe Ulbrich, Joaquim G. Pinto, Andreas H. Fink, Tim Brücher, Andreas Krüger, Markus G. Donat, Mark Reyers, Simon Wild, Thomas Spangehl and Stefan Zacharias and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Gregor C. Leckebusch

79 papers receiving 3.8k citations

Peers

Gregor C. Leckebusch

GPC

OCEAN

WST

R. Romero Spain

Frauke Feser Germany

Gill Martin United Kingdom

Tido Semmler Germany

Andrew Dowdy Australia

W. Higgins United States

Alexandre M. Ramos Portugal

Arona Diédhiou France

Bodo Ahrens Germany

Robert Grumbine United States

R. Romero Spain

Gregor C. Leckebusch

3.2k ×1.0

GPC

2.8k ×1.0

377 ×0.8

OCEAN

336 ×1.0

402 ×1.7

WST

Citations per year, relative to Gregor C. Leckebusch Gregor C. Leckebusch (= 1×) peers R. Romero

Countries citing papers authored by Gregor C. Leckebusch

Since Specialization

Citations

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

Fields of papers citing papers by Gregor C. Leckebusch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregor C. Leckebusch. 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 Gregor C. Leckebusch. The network helps show where Gregor C. Leckebusch may publish in the future.

Co-authorship network of co-authors of Gregor C. Leckebusch

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor C. Leckebusch. A scholar is included among the top collaborators of Gregor C. Leckebusch 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 Gregor C. Leckebusch. Gregor C. Leckebusch 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

Leckebusch, Gregor C., et al.. (2025). Mei‐yu Front Assessment in CMIP6 Earth System Models During the East Asian Summer Monsoon. International Journal of Climatology. 45(7).

Widmann, Martin, et al.. (2024). A comparison of two statistical postprocessing methods for heavy‐precipitation forecasts over India during the summer monsoon. Quarterly Journal of the Royal Meteorological Society. 150(761). 1865–1883. 3 indexed citations

Leckebusch, Gregor C., et al.. (2024). Improvement of decadal predictions of monthly extreme Mei-yu rainfall via a causality guided approach. SHILAP Revista de lepidopterología. 3(4). 41001–41001. 1 indexed citations

Leckebusch, Gregor C., et al.. (2024). Understanding winter windstorm predictability over Europe. Weather and Climate Dynamics. 5(2). 587–607. 1 indexed citations

Leckebusch, Gregor C., et al.. (2022). Large-scale circulation patterns and their influence on European winter windstorm predictions. Climate Dynamics. 60(11-12). 3597–3611. 6 indexed citations

Leckebusch, Gregor C., et al.. (2022). A Causality-guided Statistical Approach for Modeling Extreme Mei-yu Rainfall Based on Known Large-scale Modes—A Pilot Study. Advances in Atmospheric Sciences. 39(11). 1925–1940. 2 indexed citations

Leckebusch, Gregor C., et al.. (2021). A new view on the risk of typhoon occurrence in the western North Pacific. Natural hazards and earth system sciences. 21(2). 663–682. 12 indexed citations

Leckebusch, Gregor C., et al.. (2020). On the Dependency of Atlantic Hurricane and European Windstorm Hazards. Geophysical Research Letters. 47(23). 9 indexed citations

Leckebusch, Gregor C., et al.. (2020). Assessing reasons for skilful predictions of winter windstorms over the Atlantic/European region. 1 indexed citations

10.

Leckebusch, Gregor C., et al.. (2018). Spatial variability and potential maximum intensity of winterstorms over Europe. Biogeosciences (European Geosciences Union). 1 indexed citations

11.

Wild, Simon, et al.. (2018). The role of synoptic processes in mudflow formation in the piedmont areas of Uzbekistan. Natural hazards and earth system sciences. 18(11). 2893–2919. 10 indexed citations

12.

Befort, Daniel J., Kevin I. Hodges, & Gregor C. Leckebusch. (2017). A new approach for estimating projected future changes in extreme rainfall over East Asia and its uncertainties including information about model performance on different scales. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

13.

Befort, Daniel J., Kevin I. Hodges, & Gregor C. Leckebusch. (2016). East Asian rainfall in CMIP5 models: Contribution of Tropical Cyclones and Mei-yu front to spatio-temporal rainfall variability. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

14.

Lorenz, Philip, Tim Kruschke, Maximilian Voigt, et al.. (2016). An approach to build an event set of European windstorms based on ECMWF EPS. Natural hazards and earth system sciences. 16(1). 255–268. 21 indexed citations

15.

Thornes, John E., et al.. (2015). The role of climate and socioeconomic factors on the spatiotemporal variability of cholera in Nigeria. EGU General Assembly Conference Abstracts. 2227. 1 indexed citations

16.

Nissen, Katrin M., et al.. (2012). Changes in Vb cyclone frequency and rainfall under anthropogenic climate change. EGU General Assembly Conference Abstracts. 7040. 1 indexed citations

17.

Lehmann, Eric, et al.. (2009). Long-term ERP time series as indicators for global climate variability and climate change. Publication Database GFZ (GFZ German Research Centre for Geosciences). 9084. 2 indexed citations

18.

Nissen, Katrin M., Piero Lionello, Uwe Ulbrich, Gregor C. Leckebusch, & Joaquim G. Pinto. (2009). Mediterranean Cyclones and the occurrence of flooding in Venice. EGU General Assembly Conference Abstracts. 7238. 1 indexed citations

19.

Donat, Markus G., Gregor C. Leckebusch, Simon Wild, & Uwe Ulbrich. (2009). European winter storm losses in a multi-model ensemble of GCM and RCM simulations. EGU General Assembly Conference Abstracts. 7604. 1 indexed citations

20.

Spangehl, Thomas, Gregor C. Leckebusch, & P. Speth. (2003). Katabatic winds over Antarctica and the relationship with Southern Hemisphere atmospheric circulation variability. EGS - AGU - EUG Joint Assembly. 11632. 1 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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