Florian Rasche
Impact in
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- Complex Network Analysis Techniques
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
Papers in
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- Metabolomics and Mass Spectrometry Studies 7
- Microbial Metabolic Engineering and Bioproduction 3
- Gene Regulatory Network Analysis 1
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- Analytical Chemistry and Chromatography 4
- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Sebastian Wernicke (3 shared papers)Sebastian Böcker (8 shared papers)Aleš Svatoš (3 shared papers)Franziska Hufsky (4 shared papers)Ravi Kumar Maddula (2 shared papers)Christoph Böttcher (2 shared papers)Kerstin Scheubert (2 shared papers)Marco Kai (1 shared paper)
In The Last Decade
Florian Rasche
10 papers receiving 873 citations
Peers
Comparison fields: 5 of 118
- Statistical and Nonlinear Physics 180
- Spectroscopy 226
- Molecular Biology 593
- Computational Theory and Mathematics 113
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Florian Rasche
This map shows the geographic impact of Florian Rasche'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 Florian Rasche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Rasche more than expected).
Fields of papers citing papers by Florian Rasche
This network shows the impact of papers produced by Florian Rasche. 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 Florian Rasche. The network helps show where Florian Rasche may publish in the future.
Co-authors
The 14 scholars most cited alongside Florian Rasche, 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 | 2006 | 493 | |
| 2 | 2010 | 122 | |
| 3 | 2008 | 92 | |
| 4 | 2012 | 92 | |
| 5 | 2012 | 26 | |
| 6 | 2011 | 24 | |
| 7 | 2007 | 19 | |
| 8 | 2013 | 16 | |
| 9 | 2012 | 13 | |
| 10 | 2011 | 1 | |
| 11 | 2007 | 1 |
About Florian Rasche
Florian Rasche is a scholar working on Molecular Biology, Spectroscopy, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Biomedical Engineering, having authored 11 papers that have together received 899 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Chemistry and Chromatography (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Graph Theory and Algorithms (1 paper), Computational Drug Discovery Methods (1 paper), Gene Regulatory Network Analysis (1 paper) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (180 citations), Spectroscopy (226 citations), Molecular Biology (593 citations), Computational Theory and Mathematics (113 citations) and Computer Vision and Pattern Recognition (51 citations). Florian Rasche has collaborated with scholars based in Germany, France and Pakistan. Frequent co-authors include Sebastian Wernicke, Sebastian Böcker, Aleš Svatoš, Franziska Hufsky, Ravi Kumar Maddula, Christoph Böttcher, Kerstin Scheubert, Marco Kai, Thomas Zichner and Georg Pohnert. Their work appears in journals such as Bioinformatics, Analytical Chemistry, Journal of Computational Biology and Analytica Chimica Acta.
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.