Sönke Lorenz
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Catalytic Processes in Materials Science
- X-ray Diffraction in Crystallography
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Advanced Chemical Physics Studies 4
- Spectroscopy and Quantum Chemical Studies 1
- Magnetic properties of thin films 1
- Surface and Thin Film Phenomena 1
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- Machine Learning in Materials Science 2
- Co-authors
- Matthias Scheffler (3 shared papers)Axel Groß (2 shared papers)Karsten Reuter (1 shared paper)B. Delley (1 shared paper)Jörg Behler (1 shared paper)Christof Schütte (2 shared papers)Illia Horenko (1 shared paper)Wilhelm Huisinga (1 shared paper)
- Journals
- Journal of Computational Chemistry (2 papers)Physical Review Letters (1 paper)Physical Review B (1 paper)Chemical Physics Letters (1 paper)DepositOnce (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Sönke Lorenz
6 papers receiving 690 citations
Peers
Comparison fields: 5 of 57
- Materials Chemistry 506
- Atomic and Molecular Physics, and Optics 328
- Catalysis 68
- Computational Theory and Mathematics 96
- Physical and Theoretical Chemistry 45
Countries citing papers authored by Sönke Lorenz
This map shows the geographic impact of Sönke Lorenz'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 Sönke Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sönke Lorenz more than expected).
Fields of papers citing papers by Sönke Lorenz
This network shows the impact of papers produced by Sönke Lorenz. 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 Sönke Lorenz. The network helps show where Sönke Lorenz may publish in the future.
Co-authors
The 8 scholars most cited alongside Sönke Lorenz, 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 | 2004 | 318 | |
| 2 | 2005 | 251 | |
| 3 | 2006 | 106 | |
| 4 | 2005 | 13 | |
| 5 | 2007 | 11 | |
| 6 | 2001 | 1 |
About Sönke Lorenz
Sönke Lorenz is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Control and Systems Engineering, Artificial Intelligence and Physical and Theoretical Chemistry, having authored 6 papers that have together received 700 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (4 papers), Machine Learning in Materials Science (2 papers), Advanced Physical and Chemical Molecular Interactions (1 paper), Molecular Junctions and Nanostructures (1 paper), Fault Detection and Control Systems (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Magnetic properties of thin films (1 paper) and Surface and Thin Film Phenomena (1 paper). The work is most often cited by research in Materials Chemistry (506 citations), Atomic and Molecular Physics, and Optics (328 citations), Catalysis (68 citations), Computational Theory and Mathematics (96 citations) and Physical and Theoretical Chemistry (45 citations). Sönke Lorenz has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Matthias Scheffler, Axel Groß, Karsten Reuter, B. Delley, Jörg Behler, Christof Schütte, Illia Horenko and Wilhelm Huisinga. Their work appears in journals such as Journal of Computational Chemistry, Physical Review Letters, Physical Review B, Chemical Physics Letters and DepositOnce.
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.