Matthias Dauth
Impact in
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
- Surface and Thin Film Phenomena
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- Photochemistry and Electron Transfer Studies
Papers in
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- Advanced Chemical Physics Studies 7
- Atomic and Molecular Physics 2
- Spectroscopy and Quantum Chemical Studies 2
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- Machine Learning in Materials Science 2
- Catalytic Processes in Materials Science 1
- Co-authors
- Stephan Kümmel (7 shared papers)Fabio Caruso (2 shared papers)Patrick Rinke (2 shared papers)Michiel J. van Setten (1 shared paper)F. Reinert (4 shared papers)A. Schöll (4 shared papers)M. Wießner (3 shared papers)Roi Baer (1 shared paper)
- Journals
- Physical Review Letters (3 papers)Journal of Chemical Theory and Computation (2 papers)Physical review. A (1 paper)New Journal of Physics (1 paper)Physical review. B. (1 paper)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Matthias Dauth
9 papers receiving 456 citations
Peers
Comparison fields: 5 of 37
- Atomic and Molecular Physics, and Optics 324
- Physical and Theoretical Chemistry 67
- Structural Biology 7
- Surfaces, Coatings and Films 28
- Materials Chemistry 173
Countries citing papers authored by Matthias Dauth
This map shows the geographic impact of Matthias Dauth'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 Matthias Dauth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Dauth more than expected).
Fields of papers citing papers by Matthias Dauth
This network shows the impact of papers produced by Matthias Dauth. 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 Matthias Dauth. The network helps show where Matthias Dauth may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Dauth, 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 | 2014 | 129 | |
| 2 | 2016 | 112 | |
| 3 | 2011 | 74 | |
| 4 | 2014 | 38 | |
| 5 | 2016 | 32 | |
| 6 | 2016 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2016 | 15 | |
| 9 | 2022 | 4 |
About Matthias Dauth
Matthias Dauth is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Physical and Theoretical Chemistry, Catalysis and Electrical and Electronic Engineering, having authored 9 papers that have together received 458 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (7 papers), Atomic and Molecular Physics (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Molecular Junctions and Nanostructures (2 papers), Catalysis and Oxidation Reactions (2 papers), Photochemistry and Electron Transfer Studies (2 papers), Machine Learning in Materials Science (2 papers) and Catalytic Processes in Materials Science (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (324 citations), Physical and Theoretical Chemistry (67 citations), Structural Biology (7 citations), Surfaces, Coatings and Films (28 citations) and Materials Chemistry (173 citations). Matthias Dauth has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Stephan Kümmel, Fabio Caruso, Patrick Rinke, Michiel J. van Setten, F. Reinert, A. Schöll, M. Wießner, Roi Baer, Jeffrey B. Neaton and Egbert Zojer. Their work appears in journals such as Physical Review Letters, Journal of Chemical Theory and Computation, Physical review. A, New Journal of Physics and Physical review. B..
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.