Tilmann Gneiting

23.7k total citations · 8 hit papers
102 papers, 14.1k citations indexed

About

Tilmann Gneiting is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Tilmann Gneiting has authored 102 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 42 papers in Global and Planetary Change and 30 papers in Environmental Engineering. Recurrent topics in Tilmann Gneiting's work include Meteorological Phenomena and Simulations (41 papers), Climate variability and models (27 papers) and Hydrology and Drought Analysis (19 papers). Tilmann Gneiting is often cited by papers focused on Meteorological Phenomena and Simulations (41 papers), Climate variability and models (27 papers) and Hydrology and Drought Analysis (19 papers). Tilmann Gneiting collaborates with scholars based in Germany, United States and Switzerland. Tilmann Gneiting's co-authors include Adrian E. Raftery, Fadoua Balabdaoui, Michael Polakowski, Martin Schlather, Matthias Katzfuß, Anton H. Westveld, Thordis L. Thorarinsdottir, Leonhard Held, Chris Fraley and Peter Guttorp and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

Tilmann Gneiting

102 papers receiving 13.6k citations

Hit Papers

Strictly Proper Scoring R... 2002 2026 2010 2018 2007 2005 2007 2005 2011 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tilmann Gneiting 4.9k 3.9k 3.1k 2.3k 2.0k 102 14.1k
Rob J. Hyndman 3.2k 0.6× 1.3k 0.3× 2.4k 0.8× 4.1k 1.7× 8.7k 4.3× 199 26.8k
Michael L. Stein 2.1k 0.4× 1.2k 0.3× 4.6k 1.5× 2.5k 1.1× 934 0.5× 152 12.9k
Noel Cressie 6.2k 1.3× 2.7k 0.7× 10.8k 3.5× 5.5k 2.3× 2.0k 1.0× 352 34.3k
Gwilym M. Jenkins 3.1k 0.6× 1.7k 0.4× 2.4k 0.8× 4.1k 1.8× 4.8k 2.4× 38 28.1k
Pranab Kumar Sen 7.7k 1.6× 4.1k 1.0× 1.6k 0.5× 2.1k 0.9× 1.3k 0.6× 469 20.0k
George C. Tiao 2.7k 0.5× 2.2k 0.6× 849 0.3× 1.9k 0.8× 2.5k 1.2× 149 17.3k
Michael D. Geurts 1.7k 0.4× 652 0.2× 1.4k 0.4× 2.4k 1.0× 3.0k 1.5× 29 15.5k
J. R. M. Hosking 7.7k 1.6× 2.4k 0.6× 1.1k 0.4× 493 0.2× 500 0.2× 91 13.9k
Stefano Tarantola 3.6k 0.7× 1.1k 0.3× 4.1k 1.3× 609 0.3× 1.6k 0.8× 103 20.6k
Robert L. Winkler 1.4k 0.3× 1.0k 0.3× 564 0.2× 2.3k 1.0× 5.6k 2.8× 190 13.4k

Countries citing papers authored by Tilmann Gneiting

Since Specialization
Citations

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

Fields of papers citing papers by Tilmann Gneiting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilmann Gneiting

This figure shows the co-authorship network connecting the top 25 collaborators of Tilmann Gneiting. A scholar is included among the top collaborators of Tilmann Gneiting 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 Tilmann Gneiting. Tilmann Gneiting 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.
Gneiting, Tilmann, et al.. (2024). Enhancing the Statistical Evaluation of Earthquake Forecasts—An Application to Italy. Seismological Research Letters. 96(3). 1966–1988. 3 indexed citations
2.
Knippertz, Peter, et al.. (2024). Physics-Based vs Data-Driven 24-Hour Probabilistic Forecasts of Precipitation for Northern Tropical Africa. Monthly Weather Review. 152(9). 2011–2031. 2 indexed citations
3.
Ziegel, Johanna F., et al.. (2024). Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output. SIAM Review. 66(1). 91–122. 4 indexed citations
4.
Arnold, Sebastian J., et al.. (2024). Decompositions of the mean continuous ranked probability score. Electronic Journal of Statistics. 18(2). 2 indexed citations
5.
Knippertz, Peter, et al.. (2023). Sources of predictability of synoptic‐scale rainfall during the West African summer monsoon. Quarterly Journal of the Royal Meteorological Society. 149(757). 3721–3737. 2 indexed citations
6.
Gneiting, Tilmann, et al.. (2023). Evaluating probabilistic classifiers: The triptych. International Journal of Forecasting. 40(3). 1101–1122. 2 indexed citations
7.
Gneiting, Tilmann, et al.. (2021). Stable reliability diagrams for probabilistic classifiers. Proceedings of the National Academy of Sciences. 118(8). 47 indexed citations
8.
Vogel, Peter, et al.. (2020). Statistical Forecasts for the Occurrence of Precipitation Outperform Global Models over Northern Tropical Africa. Geophysical Research Letters. 48(3). 14 indexed citations
9.
Vogel, Peter, Tilmann Gneiting, Peter Knippertz, Andreas H. Fink, & Andreas Schlüter. (2017). Statistical ensemble postprocessing for precipitation forecasting during the West African Monsoon. European geosciences union general assembly. 14208. 1 indexed citations
10.
Gneiting, Tilmann. (2011). Statistical postprocessing for ensembles of numerical weather prediction models. Aisberg (University of Bergamo). 1–4. 1 indexed citations
11.
Gneiting, Tilmann. (2009). Evaluating Point Forecasts. arXiv (Cornell University). 3 indexed citations
12.
Ehm, Werner & Tilmann Gneiting. (2009). Local Proper Scoring Rules. 1(2). 114–9. 2 indexed citations
13.
Berrocal, Veronica J., Adrian E. Raftery, & Tilmann Gneiting. (2008). PROBABILISTIC QUANTITATIVE PRECIPITATION FIELD FORECASTING USING A TWO-STAGE SPATIAL MODEL 1. 62 indexed citations
14.
Gneiting, Tilmann & Adrian E. Raftery. (2007). Strictly Proper Scoring Rules, Prediction, and Estimation. Journal of the American Statistical Association. 102(477). 359–378. 3105 indexed citations breakdown →
15.
Gneiting, Tilmann, Fadoua Balabdaoui, & Adrian E. Raftery. (2007). Probabilistic Forecasts, Calibration and Sharpness. Journal of the Royal Statistical Society Series B (Statistical Methodology). 69(2). 243–268. 1096 indexed citations breakdown →
16.
Raftery, Adrian E., Tilmann Gneiting, Fadoua Balabdaoui, & Michael Polakowski. (2005). Using Bayesian Model Averaging to Calibrate Forecast Ensembles. Monthly Weather Review. 133(5). 1155–1174. 1415 indexed citations breakdown →
17.
Gneiting, Tilmann. (2002). Compactly Supported Correlation Functions. Journal of Multivariate Analysis. 83(2). 493–508. 186 indexed citations
18.
Gneiting, Tilmann, et al.. (2001). Experimental Approaches to Kuttner's Problem. Experimental Mathematics. 10(1). 117–124. 4 indexed citations
19.
Gneiting, Tilmann. (2001). Criteria of Pólya type for radial positive definite functions. Proceedings of the American Mathematical Society. 129(8). 2309–2318. 39 indexed citations
20.
Gneiting, Tilmann. (1999). Kuttner’s problem and a Pólya type criterion for characteristic functions. Proceedings of the American Mathematical Society. 128(6). 1721–1728. 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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