Uli Fechner
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 17
-
- Graph theory and applications 1
- Co-authors
- Gisbert Schneider (13 shared papers)Jens Sadowski (1 shared paper)Evgeny Byvatov (1 shared paper)Steffen Renner (2 shared papers)Petra Schneider (1 shared paper)Andreas Schüller (3 shared papers)Ewgenij Proschak (1 shared paper)Neil John Parrott (1 shared paper)
- Journals
- Journal of Cheminformatics (5 papers)Journal of Chemical Information and Modeling (3 papers)Journal of Computer-Aided Molecular Design (2 papers)PROTEOMICS (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Uli Fechner
17 papers receiving 1.6k citations
Uli Fechner's Hit Papers
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 1.2k
- Health Informatics 7
- Molecular Biology 170
- Filtration and Separation 4
- Materials Chemistry 85
Countries citing papers authored by Uli Fechner
This map shows the geographic impact of Uli Fechner'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 Uli Fechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uli Fechner more than expected).
Fields of papers citing papers by Uli Fechner
This network shows the impact of papers produced by Uli Fechner. 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 Uli Fechner. The network helps show where Uli Fechner may publish in the future.
Co-authors
The 15 scholars most cited alongside Uli Fechner, 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 | Computer-based de novo design of drug-like molecules Hit paper breakdown → | 2005 | 732 |
| 2 | Comparison of Support Vector Machine and Artificial Neural Network Systems for Drug/Nondrug Classification Hit paper breakdown → | 2003 | 492 |
| 3 | 2004 | 90 | |
| 4 | 2005 | 85 | |
| 5 | 2003 | 81 | |
| 6 | 2007 | 52 | |
| 7 | 2002 | 37 | |
| 8 | 2007 | 29 | |
| 9 | 2007 | 23 | |
| 10 | 2005 | 19 | |
| 11 | 2004 | 18 | |
| 12 | 2006 | 17 | |
| 13 | 2004 | 16 | |
| 14 | 2013 | 7 | |
| 15 | 2010 | 6 | |
| 16 | 2011 | 3 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 0 |
About Uli Fechner
Uli Fechner is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Physical and Theoretical Chemistry, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Graph theory and applications (1 paper), Machine Learning in Bioinformatics (1 paper), Graph Theory and Algorithms (1 paper), History and advancements in chemistry (1 paper) and Conferences and Exhibitions Management (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Health Informatics (7 citations), Molecular Biology (170 citations), Filtration and Separation (4 citations) and Materials Chemistry (85 citations). Uli Fechner has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Gisbert Schneider, Jens Sadowski, Evgeny Byvatov, Steffen Renner, Petra Schneider, Andreas Schüller, Ewgenij Proschak, Neil John Parrott, Ola Engkvist and Jörg K. Wegner. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, PROTEOMICS and Nature Reviews Drug Discovery.
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.