Göran Kauermann

3.7k total citations
131 papers, 2.3k citations indexed

About

Göran Kauermann is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Göran Kauermann has authored 131 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistics and Probability, 27 papers in Economics and Econometrics and 16 papers in Artificial Intelligence. Recurrent topics in Göran Kauermann's work include Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (25 papers) and Advanced Statistical Methods and Models (22 papers). Göran Kauermann is often cited by papers focused on Statistical Methods and Inference (48 papers), Statistical Methods and Bayesian Inference (25 papers) and Advanced Statistical Methods and Models (22 papers). Göran Kauermann collaborates with scholars based in Germany, United States and United Kingdom. Göran Kauermann's co-authors include Raymond J. Carroll, Tatyana Krivobokova, Jean D. Opsomer, F. Jay Breidt, Gerhard Tutz, Gerda Claeskens, Ludwig Fahrmeir, Thomas Kneib, Fabian Sobotka and Fritz Trillmich and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Göran Kauermann

122 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Göran Kauermann Germany 24 933 497 247 195 167 131 2.3k
Stefan Sperlich Switzerland 21 873 0.9× 452 0.9× 384 1.6× 272 1.4× 212 1.3× 101 2.2k
John Wiley 2 928 1.0× 276 0.6× 184 0.7× 221 1.1× 71 0.4× 4 2.2k
Ioannis Ntzoufras Greece 20 894 1.0× 561 1.1× 530 2.1× 242 1.2× 115 0.7× 72 2.7k
Silvia L. P. Ferrari Brazil 20 1.5k 1.7× 352 0.7× 385 1.6× 339 1.7× 169 1.0× 91 3.6k
Gerda Claeskens Belgium 30 2.1k 2.3× 614 1.2× 694 2.8× 504 2.6× 322 1.9× 135 3.7k
Kenneth N. Berk United States 18 517 0.6× 294 0.6× 174 0.7× 180 0.9× 223 1.3× 54 1.8k
Pin Ng United States 17 439 0.5× 582 1.2× 100 0.4× 105 0.5× 114 0.7× 53 1.7k
J. Brian Gray United States 15 470 0.5× 224 0.5× 178 0.7× 161 0.8× 99 0.6× 33 2.7k
Hedibert F. Lopes United States 22 661 0.7× 556 1.1× 568 2.3× 231 1.2× 533 3.2× 66 2.6k
Stefan Wager United States 15 833 0.9× 471 0.9× 421 1.7× 191 1.0× 80 0.5× 60 2.2k

Countries citing papers authored by Göran Kauermann

Since Specialization
Citations

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

Fields of papers citing papers by Göran Kauermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Göran Kauermann

This figure shows the co-authorship network connecting the top 25 collaborators of Göran Kauermann. A scholar is included among the top collaborators of Göran Kauermann 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 Göran Kauermann. Göran Kauermann 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.
Thurner, Paul W., et al.. (2025). Exponential Random Graph Models for Dynamic Signed Networks: An Application to International Relations. Political Analysis. 33(3). 211–230.
2.
Kauermann, Göran, et al.. (2025). Mietwohnungen in München – Ein Vergleich von Zensusdaten und Mietspiegeldaten. AStA Wirtschafts- und Sozialstatistisches Archiv. 19(1-2). 31–46.
3.
Kauermann, Göran, et al.. (2025). Zur Fortschreibung qualifizierter Mietspiegel per Stichprobe. AStA Wirtschafts- und Sozialstatistisches Archiv. 19(3-4). 223–245.
4.
Kauermann, Göran, et al.. (2024). Estimating excess mortality in high-income countries during the COVID-19 pandemic. Journal of the Royal Statistical Society Series A (Statistics in Society). 188(1). 205–222. 3 indexed citations
5.
Harhoff, Dietmar, et al.. (2023). Modelling the large and dynamically growing bipartite network of German patents and inventors. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(3). 557–576. 5 indexed citations
6.
Kauermann, Göran, et al.. (2023). Can machine learning algorithms deliver superior models for rental guides?. AStA Wirtschafts- und Sozialstatistisches Archiv. 17(3-4). 305–330. 2 indexed citations
7.
Kauermann, Göran, et al.. (2023). COVID-19 and social media: Beyond polarization. PNAS Nexus. 2(8). pgad246–pgad246. 2 indexed citations
8.
Günther, Felix, David Rügamer, Andreas Bender, et al.. (2022). Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany. Journal of Computational and Graphical Statistics. 32(3). 765–766.
9.
Thurner, Paul W., et al.. (2022). All that glitters is not gold: Relational events models with spurious events. Network Science. 11(2). 184–204. 1 indexed citations
10.
Thurner, Paul W., et al.. (2021). The role of governmental weapons procurements in forecasting monthly fatalities in intrastate conflicts: A semiparametric hierarchical hurdle model. International Interactions. 48(4). 778–799. 6 indexed citations
11.
Kauermann, Göran, et al.. (2019). Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time. Statistica Neerlandica. 74(3). 275–299. 25 indexed citations
12.
Thurner, Paul W., et al.. (2018). Network Interdependencies and the Evolution of the International Arms Trade. Journal of Conflict Resolution. 63(7). 1736–1764. 53 indexed citations
13.
Thurner, Paul W., et al.. (2018). International Arms Trade: A Dynamic Separable Network Model With Heterogeneity Components. arXiv (Cornell University). 1 indexed citations
14.
Kauermann, Göran, et al.. (2014). Flexible Pair-Copula Estimation in D-vines with Penalized Splines. PUB – Publications at Bielefeld University (Bielefeld University). 4 indexed citations
15.
Eisenbeiß, Maik, Göran Kauermann, & Willi Semmler. (2007). Estimating Beta-Coefficients of German Stock Data: A Non-Parametric Approach. European Journal of Finance. 13(6). 503–522. 21 indexed citations
16.
Brown, Denise Scott, Göran Kauermann, & Ian Ford. (2007). A Partial Likelihood Approach to Smooth Estimation of Dynamic Covariate Effects using Penalised Splines. Biometrical Journal. 49(3). 441–452. 6 indexed citations
17.
Kauermann, Göran & Ursula Berger. (2003). A Smooth Test in Proportional Hazard Survival Models Using Local Partial Likelihood Fitting. Lifetime Data Analysis. 9(4). 373–393. 1 indexed citations
18.
Kauermann, Göran. (2002). On a Small Sample Adjustment for the Profile Score Function in Semiparametric Smoothing Models. Journal of Multivariate Analysis. 82(2). 471–485. 2 indexed citations
19.
Kauermann, Göran & Gerhard Tutz. (2001). Vanishing of Risk Factors for the Success and Survival of Newly Founded Companies. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 1 indexed citations
20.
Friedl, Herwig & Göran Kauermann. (2000). Standard Errors for EM Estimates in Generalized Linear Models with Random Effects. Biometrics. 56(3). 761–767. 15 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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