Patrick Penner
Impact in
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- Computational Drug Discovery Methods
- Advanced Algebra and Logic
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- Microbial Natural Products and Biosynthesis
Papers in
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- Advanced Algebra and Logic 9
- Computational Drug Discovery Methods 7
- Rough Sets and Fuzzy Logic 3
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- Protein Structure and Dynamics 4
- Co-authors
- Matthias Rarey (8 shared papers)Florian Flachsenberg (3 shared papers)Jochen Sieg (1 shared paper)Konrad Diedrich (1 shared paper)Christiane Ehrt (1 shared paper)Katrin Stierand (1 shared paper)Agnes Meyder (2 shared papers)Marcus Gastreich (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (6 papers)Journal of Computer-Aided Molecular Design (2 papers)Aequationes Mathematicae (1 paper)Nucleic Acids Research (1 paper)Journal of Automated Reasoning (1 paper)
- Partner nations
- GermanyCanadaSwitzerland
In The Last Decade
Patrick Penner
18 papers receiving 308 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 147
- Pharmacology 40
- Molecular Biology 166
- Algebra and Number Theory 8
- Theoretical Computer Science 2
Countries citing papers authored by Patrick Penner
This map shows the geographic impact of Patrick Penner'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 Patrick Penner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Penner more than expected).
Fields of papers citing papers by Patrick Penner
This network shows the impact of papers produced by Patrick Penner. 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 Patrick Penner. The network helps show where Patrick Penner may publish in the future.
Co-authors
The 20 scholars most cited alongside Patrick Penner, 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 | 2022 | 134 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 32 | |
| 5 | 2019 | 15 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 1992 | 6 | |
| 11 | 1981 | 6 | |
| 12 | 1998 | 5 | |
| 13 | 2006 | 2 | |
| 14 | 2000 | 2 | |
| 15 | 2008 | 1 | |
| 16 | 1994 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2008 | 1 | |
| 20 | 2010 | 0 |
About Patrick Penner
Patrick Penner is a scholar working on Computational Theory and Mathematics, Molecular Biology, Artificial Intelligence, Management Science and Operations Research and Spectroscopy, having authored 20 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (9 papers), Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers), Rough Sets and Fuzzy Logic (3 papers), Analytical Chemistry and Chromatography (3 papers), Fuzzy and Soft Set Theory (3 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Pharmacology (40 citations), Molecular Biology (166 citations), Algebra and Number Theory (8 citations) and Theoretical Computer Science (2 citations). Patrick Penner has collaborated with scholars based in Germany, Canada and Switzerland. Frequent co-authors include Matthias Rarey, Florian Flachsenberg, Jochen Sieg, Konrad Diedrich, Christiane Ehrt, Katrin Stierand, Agnes Meyder, Marcus Gastreich, R. Padmanabhan and Kai Sommer. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Aequationes Mathematicae, Nucleic Acids Research and Journal of Automated Reasoning.
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.