Kai Töpfer
Impact in
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- Ionic liquids properties and applications
- Filtration and Separation top 10%
- Chemical and Physical Properties in Aqueous Solutions
Papers in
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- Machine Learning in Materials Science 4
- Catalytic Processes in Materials Science 3
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- Spectroscopy and Quantum Chemical Studies 6
- Advanced Chemical Physics Studies 4
- Co-authors
- Markus Meuwly (12 shared papers)Luis Itza Vazquez-Salazar (4 shared papers)Silvan Käser (4 shared papers)Peter Hamm (3 shared papers)Anuradha Das (1 shared paper)Jean Christophe Tremblay (5 shared papers)Thomas Feurer (1 shared paper)David Rohrbach (1 shared paper)
- Journals
- Physical Chemistry Chemical Physics (3 papers)The Journal of Chemical Physics (3 papers)Surface Science (2 papers)The Journal of Physical Chemistry B (1 paper)Molecular Physics (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Kai Töpfer
17 papers receiving 238 citations
Peers
Comparison fields: 5 of 52
- Catalysis 49
- Filtration and Separation 12
- Computational Theory and Mathematics 59
- Materials Chemistry 136
- Physical and Theoretical Chemistry 19
Countries citing papers authored by Kai Töpfer
This map shows the geographic impact of Kai Töpfer'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 Kai Töpfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Töpfer more than expected).
Fields of papers citing papers by Kai Töpfer
This network shows the impact of papers produced by Kai Töpfer. 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 Kai Töpfer. The network helps show where Kai Töpfer may publish in the future.
Co-authors
The 19 scholars most cited alongside Kai Töpfer, 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 | 2022 | 87 | |
| 2 | 2022 | 55 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 17 | |
| 5 | 2015 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 0 |
About Kai Töpfer
Kai Töpfer is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Spectroscopy, Molecular Biology and Atmospheric Science, having authored 18 papers that have together received 239 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (6 papers), Advanced Chemical Physics Studies (4 papers), Machine Learning in Materials Science (4 papers), Protein Structure and Dynamics (3 papers), Catalytic Processes in Materials Science (3 papers), Molecular Spectroscopy and Structure (3 papers), Phase Equilibria and Thermodynamics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Catalysis (49 citations), Filtration and Separation (12 citations), Computational Theory and Mathematics (59 citations), Materials Chemistry (136 citations) and Physical and Theoretical Chemistry (19 citations). Kai Töpfer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Markus Meuwly, Luis Itza Vazquez-Salazar, Silvan Käser, Peter Hamm, Anuradha Das, Jean Christophe Tremblay, Thomas Feurer, David Rohrbach, K. Song and Beate Paulus. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Chemical Physics, Surface Science, The Journal of Physical Chemistry B and Molecular Physics.
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.