Andreas Christmann

2.9k total citations
63 papers, 1.7k citations indexed

About

Andreas Christmann is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Andreas Christmann has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 10 papers in Computational Mechanics. Recurrent topics in Andreas Christmann's work include Advanced Statistical Methods and Models (25 papers), Statistical Methods and Inference (24 papers) and Sparse and Compressive Sensing Techniques (10 papers). Andreas Christmann is often cited by papers focused on Advanced Statistical Methods and Models (25 papers), Statistical Methods and Inference (24 papers) and Sparse and Compressive Sensing Techniques (10 papers). Andreas Christmann collaborates with scholars based in Germany, Belgium and United States. Andreas Christmann's co-authors include Ingo Steinwart, Stefan Van Aelst, Robert Hable, Ding‐Xuan Zhou, S. Hennigs, Arnout Van Messem, Klaus Mathias, Horst J. Jaeger, Peter J. Rousseeuw and Mia Hubert and has published in prestigious journals such as Biometrika, Statistics in Medicine and American Journal of Roentgenology.

In The Last Decade

Andreas Christmann

58 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Christmann Germany 21 443 427 258 205 188 63 1.7k
Jun Fan China 20 361 0.8× 560 1.3× 173 0.7× 234 1.1× 181 1.0× 91 2.1k
Linda Zhao United States 17 881 2.0× 529 1.2× 176 0.7× 45 0.2× 75 0.4× 58 2.5k
Karl Kumbier United States 6 1.9k 4.2× 98 0.2× 249 1.0× 44 0.2× 105 0.6× 13 3.1k
C.J.H. Mann United Kingdom 16 1.6k 3.6× 74 0.2× 203 0.8× 31 0.2× 603 3.2× 57 4.2k
Rafał Weron Poland 41 608 1.4× 125 0.3× 305 1.2× 34 0.2× 185 1.0× 130 6.3k
Alfredo Vellido Spain 23 936 2.1× 45 0.1× 231 0.9× 30 0.1× 47 0.3× 136 2.3k
Maria Carolina Monard Brazil 17 3.0k 6.7× 135 0.3× 558 2.2× 19 0.1× 145 0.8× 70 4.5k
Yichao Wu United States 25 868 2.0× 1.3k 3.1× 393 1.5× 327 1.6× 240 1.3× 124 2.8k
Tony Greenfield United Kingdom 13 224 0.5× 115 0.3× 80 0.3× 30 0.1× 69 0.4× 27 1.5k
Shipeng Yu United States 30 2.0k 4.5× 73 0.2× 910 3.5× 75 0.4× 51 0.3× 78 3.6k

Countries citing papers authored by Andreas Christmann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Christmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Christmann

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Christmann. A scholar is included among the top collaborators of Andreas Christmann 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 Andreas Christmann. Andreas Christmann 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.
Christmann, Andreas & Yunwen Lei. (2025). Bootstrap SGD: Algorithmic stability and robustness. Analysis and Applications. 23(5). 675–703.
2.
Guo, Zheng-Chu, Andreas Christmann, & Lei Shi. (2023). Optimality of Robust Online Learning. Foundations of Computational Mathematics. 24(5). 1455–1483. 6 indexed citations
3.
Christmann, Andreas & Ding‐Xuan Zhou. (2016). On the robustness of regularized pairwise learning methods based on kernels. Journal of Complexity. 37. 1–33. 23 indexed citations
4.
Hable, Robert & Andreas Christmann. (2014). Estimation of scale functions to model heteroscedasticity by regularised kernel-based quantile methods. Journal of nonparametric statistics. 26(2). 219–239. 1 indexed citations
5.
Hable, Robert & Andreas Christmann. (2011). On qualitative robustness of support vector machines. Journal of Multivariate Analysis. 102(6). 993–1007. 26 indexed citations
6.
Christmann, Andreas & Ingo Steinwart. (2010). Universal Kernels on Non-Standard Input Spaces. Neural Information Processing Systems. 23. 406–414. 29 indexed citations
7.
Christmann, Andreas, et al.. (2009). The Qur?an, Morality, and Critical Reason: The Essential Muhammad Shahrur. BRILL eBooks. 8 indexed citations
8.
Steinwart, Ingo & Andreas Christmann. (2009). Fast Learning from Non-i.i.d. Observations. Neural Information Processing Systems. 22. 1768–1776. 37 indexed citations
9.
Steinwart, Ingo & Andreas Christmann. (2008). Sparsity of SVMs that use the epsilon-insensitive loss. Neural Information Processing Systems. 21. 1569–1576. 9 indexed citations
10.
Steinwart, Ingo & Andreas Christmann. (2008). Sparsity of SVMs that use the ∊-insensitive loss. Neural Information Processing Systems. 1569–1576. 1 indexed citations
11.
Christmann, Andreas & Arnout Van Messem. (2008). Bouligand Derivatives and Robustness of Support Vector Machines for Regression. Journal of Machine Learning Research. 9(30). 915–936. 28 indexed citations
12.
Christmann, Andreas & Ingo Steinwart. (2007). How SVMs can estimate quantiles and the median. Neural Information Processing Systems. 20. 305–312. 48 indexed citations
13.
Schmieder, Kirsten, et al.. (2006). Dynamic Cerebral Autoregulation in Patients with Ruptured and Unruptured Aneurysms after Induction of General Anesthesia. Central European Neurosurgery - Zentralblatt für Neurochirurgie. 67(2). 81–87. 20 indexed citations
14.
Christmann, Andreas & Stefan Van Aelst. (2005). Robust estimation of Cronbach's alpha. Journal of Multivariate Analysis. 97(7). 1660–1674. 270 indexed citations
15.
Christmann, Andreas, et al.. (2004). Insurance: an R-Program to Model Insurance Data. Technical reports.
16.
Hennigs, S., et al.. (2000). Digital Radiography Versus Conventional Radiography in Chest Imaging. American Journal of Roentgenology. 174(1). 75–80. 54 indexed citations
17.
Christmann, Andreas & Peter J. Rousseeuw. (1999). Measuring overlap in logistic regression. Econstor (Econstor). 1 indexed citations
18.
Christmann, Andreas. (1998). Islamic Scholar and Religious Leader: A Portrait of Muhammad Sa'id Ramadan al-Buti. Islam and Christian–Muslim Relations. 9.
19.
Jaeger, Horst J., et al.. (1998). In Vitro Model for the Evaluation of Inferior Vena Cava Filters: Effect of Experimental Parameters on Thrombus-Capturing Efficacy of the Vena Tech-LGM Filter. Journal of Vascular and Interventional Radiology. 9(2). 295–304. 14 indexed citations
20.
Jaeger, Horst J., et al.. (1997). A Physiologic In Vitro Model of the Inferior Vena Cava with a Computer-Controlled Flow System for Testing of Inferior Vena Cava Filters. Investigative Radiology. 32(9). 511–522. 10 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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