Peter Gedeck
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 19
- Co-authors
- Christian Krämer (10 shared papers)Anna Vulpetti (2 shared papers)Tuomo Kalliokoski (2 shared papers)Bernhard Rohde (1 shared paper)Christian Bartels (1 shared paper)Timothy Clark (9 shared papers)Markus Meuwly (3 shared papers)Siegfried Schneider (4 shared papers)
- Journals
- Journal of Chemical Information and Modeling (9 papers)Journal of Molecular Modeling (5 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)International Journal of Quantum Chemistry (3 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Peter Gedeck
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 150
- Computational Theory and Mathematics 846
- Physical and Theoretical Chemistry 178
- Molecular Biology 925
- Organic Chemistry 289
- Pharmacology 80
Countries citing papers authored by Peter Gedeck
This map shows the geographic impact of Peter Gedeck'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 Peter Gedeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gedeck more than expected).
Fields of papers citing papers by Peter Gedeck
This network shows the impact of papers produced by Peter Gedeck. 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 Peter Gedeck. The network helps show where Peter Gedeck may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Gedeck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 236 | |
| 2 | 2012 | 177 | |
| 3 | 1997 | 157 | |
| 4 | 2006 | 146 | |
| 5 | 2007 | 91 | |
| 6 | 2010 | 91 | |
| 7 | 2012 | 58 | |
| 8 | 2014 | 57 | |
| 9 | 2008 | 48 | |
| 10 | 2016 | 44 | |
| 11 | 1997 | 42 | |
| 12 | 1995 | 40 | |
| 13 | 2001 | 36 | |
| 14 | 2004 | 34 | |
| 15 | 1999 | 33 | |
| 16 | 2013 | 31 | |
| 17 | 2019 | 31 | |
| 18 | Exploiting QSAR models in lead optimization. | 2008 | 30 |
| 19 | 2003 | 29 | |
| 20 | 2000 | 29 |
About Peter Gedeck
Peter Gedeck is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Machine Learning in Materials Science (9 papers), Free Radicals and Antioxidants (7 papers), Analytical Chemistry and Chromatography (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Advanced Statistical Process Monitoring (5 papers), Advanced Chemical Physics Studies (4 papers) and Photochemistry and Electron Transfer Studies (4 papers). The work is most often cited by research in Computational Theory and Mathematics (846 citations), Physical and Theoretical Chemistry (178 citations), Molecular Biology (925 citations), Organic Chemistry (289 citations) and Pharmacology (80 citations). Peter Gedeck has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christian Krämer, Anna Vulpetti, Tuomo Kalliokoski, Bernhard Rohde, Christian Bartels, Timothy Clark, Markus Meuwly, Siegfried Schneider, Peter Willett and Brian J. Cox. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Molecular Modeling, Bioorganic & Medicinal Chemistry Letters, International Journal of Quantum Chemistry and Journal of Medicinal Chemistry.
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.