Nikolas Fechner
Impact in
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- Computational Drug Discovery Methods
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- Microbial Natural Products and Biosynthesis
Papers in
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- Computational Drug Discovery Methods 22
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- Protein Structure and Dynamics 4
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 3
- Metabolomics and Mass Spectrometry Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- Andreas Zell (13 shared papers)Georg Hinselmann (13 shared papers)Andreas Jahn (12 shared papers)Lars Rosenbaum (5 shared papers)Gregory A. Landrum (2 shared papers)Nikolaus Stiefl (7 shared papers)Sereina Riniker (1 shared paper)Nadine Schneider (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (8 papers)Journal of Cheminformatics (4 papers)Molecular Informatics (3 papers)Bioinformatics (1 paper)Neurocomputing (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Nikolas Fechner
24 papers receiving 449 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 329
- Pharmacology 49
- Molecular Biology 208
- Materials Chemistry 117
- Spectroscopy 40
Countries citing papers authored by Nikolas Fechner
This map shows the geographic impact of Nikolas 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 Nikolas Fechner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolas Fechner more than expected).
Fields of papers citing papers by Nikolas Fechner
This network shows the impact of papers produced by Nikolas 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 Nikolas Fechner. The network helps show where Nikolas Fechner may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikolas 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 77 | |
| 2 | 2011 | 77 | |
| 3 | Comparison of Different Approaches to Vibration-based Terrain Classification. | 2007 | 44 |
| 4 | 2010 | 43 | |
| 5 | 2013 | 38 | |
| 6 | 2011 | 28 | |
| 7 | 2018 | 24 | |
| 8 | 2009 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2023 | 12 | |
| 12 | 2012 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2010 | 9 | |
| 16 | 2010 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2009 | 3 | |
| 19 | 2010 | 2 | |
| 20 | 2011 | 2 |
About Nikolas Fechner
Nikolas Fechner is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Spectroscopy and Artificial Intelligence, having authored 24 papers that have together received 461 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Machine Learning in Materials Science (10 papers), Protein Structure and Dynamics (4 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (3 papers), Analytical Chemistry and Chromatography (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (329 citations), Pharmacology (49 citations), Molecular Biology (208 citations), Materials Chemistry (117 citations) and Spectroscopy (40 citations). Nikolas Fechner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Andreas Zell, Georg Hinselmann, Andreas Jahn, Lars Rosenbaum, Gregory A. Landrum, Nikolaus Stiefl, Sereina Riniker, Nadine Schneider, Christian Weiß and Maximilian Beckers. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Molecular Informatics, Bioinformatics and Neurocomputing.
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.