Petra Philips
Impact in
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- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- RNA modifications and cancer
- Molecular Biology Techniques and Applications
Papers in
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- Machine Learning and Algorithms 4
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- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Sören Sonnenburg (3 shared papers)Gunnar Rätsch (3 shared papers)Gabriele Schweikert (2 shared papers)Jonas Behr (2 shared papers)Alexander Zien (2 shared papers)Georg Zeller (1 shared paper)Cheng Soon Ong (1 shared paper)Christoph Dieterich (1 shared paper)
In The Last Decade
Petra Philips
6 papers receiving 238 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 4
- Molecular Biology 195
- Aging 4
- Computational Mathematics 1
- Artificial Intelligence 47
Countries citing papers authored by Petra Philips
This map shows the geographic impact of Petra Philips'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 Petra Philips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petra Philips more than expected).
Fields of papers citing papers by Petra Philips
This network shows the impact of papers produced by Petra Philips. 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 Petra Philips. The network helps show where Petra Philips may publish in the future.
Co-authors
The 25 scholars most cited alongside Petra Philips, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 128 | |
| 2 | 2009 | 61 | |
| 3 | 2008 | 45 | |
| 4 | On the Importance of Small Coordinate Projections | 2004 | 3 |
| 5 | Optimal Sample-Based Estimates of the Expectation of the Empirical Minimizer | 2005 | 3 |
| 6 | Introduction to Statistical Learning Theory | 2007 | 3 |
| 7 | 2008 | 0 | |
| 8 | 2004 | 0 |
About Petra Philips
Petra Philips is a scholar working on Artificial Intelligence, Molecular Biology, Computational Mechanics, Statistics and Probability and Computer Networks and Communications, having authored 8 papers that have together received 243 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (4 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Statistical Methods and Inference (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Particle Detector Development and Performance (1 paper), Face and Expression Recognition (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Health Informatics (4 citations), Molecular Biology (195 citations), Aging (4 citations), Computational Mathematics (1 citation) and Artificial Intelligence (47 citations). Petra Philips has collaborated with scholars based in Germany, Australia and Israel. Frequent co-authors include Sören Sonnenburg, Gunnar Rätsch, Gabriele Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Christoph Dieterich, Lisa Hartmann and Nina Krüger. Their work appears in journals such as ESAIM Probability and Statistics, BMC Bioinformatics, Bioinformatics, Genome Research and Journal of Machine Learning Research.
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.