Volker Settels
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
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- Photochemistry and Electron Transfer Studies
Papers in
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- Machine Learning in Materials Science 5
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- Photochemistry and Electron Transfer Studies 7
- Co-authors
- Bernd Engels (11 shared papers)Philipp Eiden (3 shared papers)Klavs F. Jensen (2 shared papers)Regina Barzilay (2 shared papers)Kyle Swanson (2 shared papers)Miriam Mathea (2 shared papers)Hua Gao (2 shared papers)Wengong Jin (2 shared papers)
- Journals
- Journal of Computational Chemistry (5 papers)Journal of the American Chemical Society (3 papers)Journal of Chemical Information and Modeling (2 papers)The Journal of Physical Chemistry B (1 paper)ChemPhysChem (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Volker Settels
22 papers receiving 1.9k citations
Volker Settels's Hit Papers
Peers
Comparison fields: 5 of 111
- Computational Theory and Mathematics 900
- Physical and Theoretical Chemistry 274
- Materials Chemistry 999
- Polymers and Plastics 137
- Molecular Biology 541
Countries citing papers authored by Volker Settels
This map shows the geographic impact of Volker Settels'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 Volker Settels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Settels more than expected).
Fields of papers citing papers by Volker Settels
This network shows the impact of papers produced by Volker Settels. 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 Volker Settels. The network helps show where Volker Settels may publish in the future.
Co-authors
The 25 scholars most cited alongside Volker Settels, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analyzing Learned Molecular Representations for Property Prediction Hit paper breakdown → | 2019 | 1142 |
| 2 | 2013 | 122 | |
| 3 | 2009 | 102 | |
| 4 | 2013 | 98 | |
| 5 | 2011 | 68 | |
| 6 | 2014 | 57 | |
| 7 | 2012 | 55 | |
| 8 | 2014 | 37 | |
| 9 | 2007 | 34 | |
| 10 | 2017 | 32 | |
| 11 | 2015 | 31 | |
| 12 | 2019 | 27 | |
| 13 | 2018 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2016 | 14 | |
| 16 | 2007 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2013 | 8 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 3 |
About Volker Settels
Volker Settels is a scholar working on Materials Chemistry, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Photochemistry and Electron Transfer Studies (7 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Photoreceptor and optogenetics research (6 papers), Machine Learning in Materials Science (5 papers), Organic Electronics and Photovoltaics (4 papers), Computational Drug Discovery Methods (4 papers), Molecular Junctions and Nanostructures (3 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Computational Theory and Mathematics (900 citations), Physical and Theoretical Chemistry (274 citations), Materials Chemistry (999 citations), Polymers and Plastics (137 citations) and Molecular Biology (541 citations). Volker Settels has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernd Engels, Philipp Eiden, Klavs F. Jensen, Regina Barzilay, Kyle Swanson, Miriam Mathea, Hua Gao, Wengong Jin, Tommi Jaakkola and Angel Guzmán-Pérez. Their work appears in journals such as Journal of Computational Chemistry, Journal of the American Chemical Society, Journal of Chemical Information and Modeling, The Journal of Physical Chemistry B and ChemPhysChem.
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.