Nikolaus Umlauf

1.5k total citations
33 papers, 788 citations indexed

About

Nikolaus Umlauf is a scholar working on Statistics and Probability, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Nikolaus Umlauf has authored 33 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 10 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in Nikolaus Umlauf's work include Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (6 papers) and Climate variability and models (6 papers). Nikolaus Umlauf is often cited by papers focused on Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (6 papers) and Climate variability and models (6 papers). Nikolaus Umlauf collaborates with scholars based in Austria, Germany and Netherlands. Nikolaus Umlauf's co-authors include Achim Zeileis, Thomas Kneib, Stefan Lang, Nadja Klein, Georg J. Mayr, Egbert H. van Nes, Jan Verbesselt, Marten Scheffer, Marina Hirota and Milena Holmgren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecology and Global Change Biology.

In The Last Decade

Nikolaus Umlauf

32 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolaus Umlauf Austria 16 313 152 121 107 101 33 788
Erin M. Schliep United States 14 173 0.6× 60 0.4× 70 0.6× 107 1.0× 152 1.5× 44 622
Natalya Pya Kazakhstan 5 127 0.4× 105 0.7× 56 0.5× 39 0.4× 81 0.8× 8 611
Geir‐Arne Fuglstad Norway 9 224 0.7× 52 0.3× 53 0.4× 89 0.8× 66 0.7× 19 709
Clive Anderson United Kingdom 14 213 0.7× 66 0.4× 190 1.6× 49 0.5× 54 0.5× 28 886
Fernanda De Bastiani Brazil 11 113 0.4× 191 1.3× 29 0.2× 119 1.1× 50 0.5× 34 798
Jinting Zhang China 12 187 0.6× 120 0.8× 62 0.5× 63 0.6× 22 0.2× 29 546
Daniela Castro‐Camilo United Kingdom 11 254 0.8× 39 0.3× 117 1.0× 58 0.5× 29 0.3× 15 554
Benjamin Säfken Germany 8 97 0.3× 73 0.5× 37 0.3× 32 0.3× 55 0.5× 23 567
Nadja Klein Germany 15 89 0.3× 307 2.0× 26 0.2× 152 1.4× 69 0.7× 73 790
Darryl J. Downing United States 12 195 0.6× 53 0.3× 138 1.1× 94 0.9× 111 1.1× 38 810

Countries citing papers authored by Nikolaus Umlauf

Since Specialization
Citations

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

Fields of papers citing papers by Nikolaus Umlauf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaus Umlauf

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaus Umlauf. A scholar is included among the top collaborators of Nikolaus Umlauf 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 Nikolaus Umlauf. Nikolaus Umlauf 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.
2.
Umlauf, Nikolaus, et al.. (2024). Scalable Estimation for Structured Additive Distributional Regression. Journal of Computational and Graphical Statistics. 34(2). 601–617. 2 indexed citations
3.
Simon, Thorsten, et al.. (2023). Amplification of annual and diurnal cycles of alpine lightning. Climate Dynamics. 61(9-10). 4125–4137. 3 indexed citations
4.
Brunauer, Wolfgang, et al.. (2023). A multilevel analysis of real estate valuation using distributional and quantile regression. Statistical Modelling. 23(5-6). 525–539. 3 indexed citations
5.
Keersmaecker, Wanda De, et al.. (2022). Climatic legacy effects on the drought response of the Amazon rainforest. Global Change Biology. 28(19). 5808–5819. 11 indexed citations
6.
Mayr, Georg J., et al.. (2022). Cholesky-based multivariate Gaussian regression. Econometrics and Statistics. 29. 261–281. 8 indexed citations
7.
Ingrisch, Johannes, Nikolaus Umlauf, & Michael Bahn. (2022). Functional thresholds alter the relationship of plant resistance and recovery to drought. Ecology. 104(2). e3907–e3907. 25 indexed citations
8.
Alas, Honey Dawn C., et al.. (2021). Pedestrian exposure to black carbon and PM2.5 emissions in urban hot spots: new findings using mobile measurement techniques and flexible Bayesian regression models. Journal of Exposure Science & Environmental Epidemiology. 32(4). 604–614. 12 indexed citations
9.
Kneib, Thomas, et al.. (2020). Bayesian Gaussian distributional regression models for more efficient norm estimation. British Journal of Mathematical and Statistical Psychology. 74(1). 99–117. 7 indexed citations
10.
Kreutziger, Janett, Stefan Schmid, Nikolaus Umlauf, et al.. (2018). Association between Blood Glucose and cardiac Rhythms during pre-hospital care of Trauma Patients – a retrospective Analysis. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 26(1). 58–58. 10 indexed citations
11.
Simon, Thorsten, Nikolaus Umlauf, Achim Zeileis, et al.. (2017). Spatio-temporal modelling of lightning climatologies for complex terrain. Natural hazards and earth system sciences. 17(3). 305–314. 10 indexed citations
12.
Beyerlein, Andreas, Kendra Vehik, Sonja Greven, et al.. (2017). Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study. Acta Diabetologica. 54(11). 1009–1017. 20 indexed citations
13.
Umlauf, Nikolaus, Nadja Klein, & Achim Zeileis. (2017). BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond). Journal of Computational and Graphical Statistics. 27(3). 612–627. 78 indexed citations
14.
Umlauf, Nikolaus, et al.. (2017). Flexible Bayesian additive joint models with an application to type 1 diabetes research. Biometrical Journal. 59(6). 1144–1165. 17 indexed citations
15.
Stauffer, Reto, Georg J. Mayr, Jakob W. Messner, Nikolaus Umlauf, & Achim Zeileis. (2016). Spatio‐temporal precipitation climatology over complex terrain using a censored additive regression model. International Journal of Climatology. 37(7). 3264–3275. 45 indexed citations
16.
Stauffer, Reto, Nikolaus Umlauf, Jakob W. Messner, Georg J. Mayr, & Achim Zeileis. (2016). Ensemble Postprocessing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies. Monthly Weather Review. 145(3). 955–969. 30 indexed citations
17.
Verbesselt, Jan, Nikolaus Umlauf, Marina Hirota, et al.. (2016). Remotely sensed resilience of tropical forests. Nature Climate Change. 6(11). 1028–1031. 192 indexed citations
18.
Umlauf, Nikolaus, Daniel Adler, Thomas Kneib, Stefan Lang, & Achim Zeileis. (2015). Structured Additive Regression Models: AnRInterface toBayesX. Journal of Statistical Software. 63(21). 85 indexed citations
19.
Adler, Daniel, et al.. (2013). R Package Distribution of the BayesX C++ Sources. 1 indexed citations
20.
Frick, Matthias, et al.. (2012). Serum Phosphate and Long-Term Outcome Among Patients With Stable Heart Failure. Journal of Cardiac Failure. 19(1). 25–30. 18 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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