Christian Widmer
- Molecular Biology
- Plant Science top 10%
- Aging top 2%
- Genetics
- Artificial Intelligence top 10%
- Co-authors
- Gunnar RätschGeorg ZellerStefan R. HenzDetlef WeigelTimo SachsenbergSascha LaubingerBernhard SchölkopfGabriele Schweikert
- Topics
- Genetic Associations and Epidemiology (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)Machine Learning in Bioinformatics (2 papers)
- Cited by
- AgingMolecular BiologyPlant Science
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Christian Widmer
19 papers receiving 973 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 564
- Plant Science 302
- Aging 155
- Genetics 141
- Artificial Intelligence 123
Countries citing papers authored by Christian Widmer
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 96 | |
| 3 | 47 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 46 | |
| 7 | 25 | |
| 8 | 83 | |
| 9 | Tapkee: an efficient dimension reduction library | 9 |
| 10 | Multitask Learning in Computational Biology | 14 |
| 11 | 1 | |
| 12 | Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation | 23 |
| 13 | 211 | |
| 14 | 16 | |
| 15 | 27 | |
| 16 | Multitask Multiple Kernel Learning | 1 |
| 17 | 219 | |
| 18 | An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis | 87 |
| 19 | 82 |
About Christian Widmer
Christian Widmer is a scholar working on Aging, Cancer Research and Artificial Intelligence, having authored 19 papers that have together received 997 indexed citations. Recurring topics across this 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). The work is most often cited by research in Aging (155 citations), Molecular Biology (564 citations) and Plant Science (302 citations). Christian Widmer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Bioinformatics.
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.