Tamara Husch
Impact in
- Catalysis top 10%
Papers in
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- Crystallography and molecular interactions 4
-
- Machine Learning in Materials Science 6
- Co-authors
- Markus Reiher (8 shared papers)Martin Korth (6 shared papers)Andrea Balducci (4 shared papers)Christoph Schütter (3 shared papers)Leon Freitag (1 shared paper)Gregor N. C. Simm (1 shared paper)Jonny Proppe (1 shared paper)Cornelius Gropp (4 shared papers)
- Journals
- Physical Chemistry Chemical Physics (2 papers)The Journal of Physical Chemistry C (2 papers)The Journal of Chemical Physics (2 papers)Journal of Chemical Theory and Computation (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Tamara Husch
19 papers receiving 556 citations
Peers
Comparison fields: 5 of 61
- Catalysis 83
- Physical and Theoretical Chemistry 64
- Electronic, Optical and Magnetic Materials 111
- Automotive Engineering 68
- Materials Chemistry 195
Countries citing papers authored by Tamara Husch
This map shows the geographic impact of Tamara Husch'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 Tamara Husch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Husch more than expected).
Fields of papers citing papers by Tamara Husch
This network shows the impact of papers produced by Tamara Husch. 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 Tamara Husch. The network helps show where Tamara Husch may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Husch, 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 | 2015 | 70 | |
| 2 | 2018 | 62 | |
| 3 | 2016 | 60 | |
| 4 | 2016 | 59 | |
| 5 | 2014 | 53 | |
| 6 | 2015 | 39 | |
| 7 | 2021 | 38 | |
| 8 | 2016 | 34 | |
| 9 | 2017 | 27 | |
| 10 | 2018 | 26 | |
| 11 | 2017 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2016 | 16 | |
| 14 | 2017 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2018 | 9 | |
| 17 | 2019 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2020 | 1 |
About Tamara Husch
Tamara Husch is a scholar working on Physical and Theoretical Chemistry, Materials Chemistry, Organic Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 19 papers that have together received 557 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced Battery Materials and Technologies (4 papers), Crystallography and molecular interactions (4 papers), Advancements in Battery Materials (3 papers), Advanced Chemical Physics Studies (3 papers), Supramolecular Chemistry and Complexes (2 papers), CO2 Reduction Techniques and Catalysts (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Catalysis (83 citations), Physical and Theoretical Chemistry (64 citations), Electronic, Optical and Magnetic Materials (111 citations), Automotive Engineering (68 citations) and Materials Chemistry (195 citations). Tamara Husch has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Markus Reiher, Martin Korth, Andrea Balducci, Christoph Schütter, Leon Freitag, Gregor N. C. Simm, Jonny Proppe, Cornelius Gropp, François Diederich and Nils Trapp. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry C, The Journal of Chemical Physics, Journal of Chemical Theory and Computation and Journal of the American Chemical Society.
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.