Robert Körner
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
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- Ionic liquids properties and applications
Papers in
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- Computational Drug Discovery Methods 19
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- Chemical Reaction Mechanisms 2
- Co-authors
- Igor V. Tetko (13 shared papers)Sergii Novotarskyi (11 shared papers)Joannis Apostolakis (3 shared papers)Matthias Rupp (3 shared papers)Iurii Sushko (8 shared papers)Anil Kumar Pandey (2 shared papers)Vasyl Kovalishyn (1 shared paper)Volodymyr V. Prokopenko (1 shared paper)
In The Last Decade
Robert Körner
18 papers receiving 1.2k citations
Robert Körner's Hit Papers
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 936
- Catalysis 28
- Health, Toxicology and Mutagenesis 69
- Environmental Chemistry 31
- Small Animals 27
Countries citing papers authored by Robert Körner
This map shows the geographic impact of Robert Körner'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 Robert Körner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Körner more than expected).
Fields of papers citing papers by Robert Körner
This network shows the impact of papers produced by Robert Körner. 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 Robert Körner. The network helps show where Robert Körner may publish in the future.
Co-authors
The 13 scholars most cited alongside Robert Körner, 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 | Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information Hit paper breakdown → | 2011 | 577 |
| 2 | 2010 | 232 | |
| 3 | 2010 | 91 | |
| 4 | 2011 | 56 | |
| 5 | 2014 | 51 | |
| 6 | 2011 | 44 | |
| 7 | 2007 | 36 | |
| 8 | 2008 | 34 | |
| 9 | 2016 | 28 | |
| 10 | 2010 | 27 | |
| 11 | 2008 | 25 | |
| 12 | 2011 | 19 | |
| 13 | 2015 | 5 | |
| 14 | 2010 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2013 | 0 |
About Robert Körner
Robert Körner is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Chemical Reaction Mechanisms (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Computational Theory and Mathematics (936 citations), Catalysis (28 citations), Health, Toxicology and Mutagenesis (69 citations), Environmental Chemistry (31 citations) and Small Animals (27 citations). Robert Körner has collaborated with scholars based in Germany, Russia and Ukraine. Frequent co-authors include Igor V. Tetko, Sergii Novotarskyi, Joannis Apostolakis, Matthias Rupp, Iurii Sushko, Anil Kumar Pandey, Vasyl Kovalishyn, Volodymyr V. Prokopenko, Simon Tietze and Johann Gasteiger. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Combinatorial Chemistry & High Throughput Screening, Chemical Research in Toxicology and Journal of Chemometrics.
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.