Christian Widmer

1.9k total citations
19 papers, 997 citations indexed

About

Christian Widmer is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christian Widmer has authored 19 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christian Widmer's work include Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Machine Learning in Bioinformatics (2 papers). Christian Widmer is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Machine Learning in Bioinformatics (2 papers). Christian Widmer collaborates with scholars based in Germany, United States and United Kingdom. Christian Widmer's co-authors include Gunnar Rätsch, Georg Zeller, Stefan R. Henz, Detlef Weigel, Timo Sachsenberg, Sascha Laubinger, Bernhard Schölkopf, Gabriele Schweikert, Vipin T. Sreedharan and David Heckerman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Bioinformatics.

In The Last Decade

Christian Widmer

19 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Widmer Germany 13 564 302 155 141 123 19 997
Kuppuswamy Subramaniam India 13 553 1.0× 322 1.1× 146 0.9× 103 0.7× 31 0.3× 21 888
David Osumi-Sutherland United Kingdom 15 954 1.7× 115 0.4× 43 0.3× 254 1.8× 138 1.1× 38 1.3k
Preston W. Estep United States 10 2.2k 4.0× 251 0.8× 56 0.4× 362 2.6× 138 1.1× 16 2.5k
Seth Carbon United States 9 1.2k 2.2× 270 0.9× 46 0.3× 271 1.9× 103 0.8× 16 1.8k
Gillian Millburn United Kingdom 9 950 1.7× 181 0.6× 78 0.5× 284 2.0× 67 0.5× 11 1.3k
Pedro Alves United States 12 793 1.4× 54 0.2× 133 0.9× 145 1.0× 34 0.3× 24 1.1k
Ritambhara Singh United States 16 1.6k 2.8× 177 0.6× 110 0.7× 184 1.3× 109 0.9× 47 1.9k
Rob Jelier Netherlands 17 717 1.3× 61 0.2× 119 0.8× 124 0.9× 188 1.5× 35 913
Lourdes Peña‐Castillo Canada 18 1.4k 2.4× 118 0.4× 20 0.1× 248 1.8× 62 0.5× 45 1.7k
Timothy Danford United States 9 2.5k 4.5× 288 1.0× 47 0.3× 459 3.3× 44 0.4× 10 2.8k

Countries citing papers authored by Christian Widmer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Widmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Widmer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Widmer. A scholar is included among the top collaborators of Christian Widmer 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 Christian Widmer. Christian Widmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wich, Maximilian, et al.. (2021). Investigating Annotator Bias in Abusive Language Datasets. 1515–1525. 4 indexed citations
2.
Pelossof, Raphael, Lauren Fairchild, Chun‐Hao Huang, et al.. (2017). Prediction of potent shRNAs with a sequential classification algorithm. Nature Biotechnology. 35(4). 350–353. 96 indexed citations
3.
Heckerman, David, Deepti Gurdasani, Carl Kadie, et al.. (2016). Linear mixed model for heritability estimation that explicitly addresses environmental variation. Proceedings of the National Academy of Sciences. 113(27). 7377–7382. 47 indexed citations
4.
Widmer, Christian, et al.. (2014). Graph-regularized 3D shape reconstruction from highly anisotropic and noisy images. Signal Image and Video Processing. 8(S1). 41–48. 1 indexed citations
5.
Widmer, Christian, Marius Kloft, Xinghua Lou, & Gunnar Rätsch. (2014). Regularization-Based Multitask Learning With Applications to Genome Biology and Biological Imaging. KI - Künstliche Intelligenz. 28(1). 29–33. 5 indexed citations
6.
Widmer, Christian, Christoph Lippert, Omer Weissbrod, et al.. (2014). Further Improvements to Linear Mixed Models for Genome-Wide Association Studies. Scientific Reports. 4(1). 6874–6874. 46 indexed citations
7.
Lippert, Christoph, Jing Xiang, Danilo Horta, et al.. (2014). Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinformatics. 30(22). 3206–3214. 25 indexed citations
8.
Heinrich, Stephanie, Julia Kamenz, Susanne Trautmann, et al.. (2013). Determinants of robustness in spindle assembly checkpoint signalling. Nature Cell Biology. 15(11). 1328–1339. 83 indexed citations
9.
Lisitsyn, Sergey, et al.. (2013). Tapkee: an efficient dimension reduction library. Journal of Machine Learning Research. 14(1). 2355–2359. 9 indexed citations
10.
Widmer, Christian & Gunnar Rätsch. (2011). Multitask Learning in Computational Biology. MPG.PuRe (Max Planck Society). 27. 207–216. 14 indexed citations
11.
Widmer, Christian, et al.. (2011). Non Zero Sum. Places. 1 indexed citations
12.
Widmer, Christian, et al.. (2011). Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. 24. 2690–2698. 23 indexed citations
13.
Spencer, William C., Georg Zeller, Joseph D. Watson, et al.. (2010). A spatial and temporal map ofC. elegansgene expression. Genome Research. 21(2). 325–341. 211 indexed citations
14.
Toussaint, Nora C., Christian Widmer, Oliver Kohlbacher, & Gunnar Rätsch. (2010). Exploiting physico-chemical properties in string kernels. BMC Bioinformatics. 11(S8). S7–S7. 16 indexed citations
15.
Widmer, Christian, Nora C. Toussaint, Yasemin Altün, & Gunnar Rätsch. (2010). Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. BMC Bioinformatics. 11(S8). S5–S5. 27 indexed citations
16.
Widmer, Christian, Nora C. Toussaint, & Yasemin Altün. (2010). Multitask Multiple Kernel Learning. 1 indexed citations
17.
Zeller, Georg, Stefan R. Henz, Christian Widmer, et al.. (2009). Stress‐induced changes in the Arabidopsis thaliana transcriptome analyzed using whole‐genome tiling arrays. The Plant Journal. 58(6). 1068–1082. 219 indexed citations
18.
Schweikert, Gabriele, Gunnar Rätsch, Christian Widmer, & Bernhard Schölkopf. (2008). An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. Max Planck Institute for Plasma Physics. 21. 1433–1440. 87 indexed citations
19.
Laubinger, Sascha, Georg Zeller, Stefan R. Henz, et al.. (2008). At-TAX: a whole genome tiling array resource for developmental expression analysis and transcript identification in Arabidopsis thaliana. Genome biology. 9(7). R112–R112. 82 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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2026