Vicky Süβ
Impact in
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- Topological Materials and Phenomena
- Quantum and electron transport phenomena
- Quantum, superfluid, helium dynamics
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- Physics of Superconductivity and Magnetism
Papers in
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- Topological Materials and Phenomena 4
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- Machine Learning in Materials Science 2
- 2D Materials and Applications 1
- Graphene research and applications 1
- Catalytic Processes in Materials Science 1
- Co-authors
- Claudia Felser (6 shared papers)Chandra Shekhar (4 shared papers)Yan Sun (4 shared papers)Nitesh Kumar (3 shared papers)Johannes Gooth (2 shared papers)Bernd Gotsmann (1 shared paper)Fabian Menges (1 shared paper)Robert Zierold (1 shared paper)
- Journals
- Advanced Materials (2 papers)Nature Communications (1 paper)Journal of Physics Materials (1 paper)Energy & Environmental Science (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Vicky Süβ
6 papers receiving 318 citations
Peers
Comparison fields: 5 of 33
- Atomic and Molecular Physics, and Optics 232
- Condensed Matter Physics 63
- Materials Chemistry 205
- Acoustics and Ultrasonics 2
- Electronic, Optical and Magnetic Materials 37
Countries citing papers authored by Vicky Süβ
This map shows the geographic impact of Vicky Süβ'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 Vicky Süβ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Süβ more than expected).
Fields of papers citing papers by Vicky Süβ
This network shows the impact of papers produced by Vicky Süβ. 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 Vicky Süβ. The network helps show where Vicky Süβ may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicky Süβ, 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 | 2018 | 174 | |
| 2 | 2018 | 74 | |
| 3 | 2022 | 48 | |
| 4 | 2020 | 20 | |
| 5 | Topological Weyl Semimetals | 2016 | 1 |
| 6 | 2022 | 1 |
About Vicky Süβ
Vicky Süβ is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Catalysis, Renewable Energy, Sustainability and the Environment and Electronic, Optical and Magnetic Materials, having authored 6 papers that have together received 318 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (4 papers), Machine Learning in Materials Science (2 papers), 2D Materials and Applications (1 paper), Graphene research and applications (1 paper), Catalytic Processes in Materials Science (1 paper), Heusler alloys: electronic and magnetic properties (1 paper), Catalysis and Oxidation Reactions (1 paper) and Electrocatalysts for Energy Conversion (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (232 citations), Condensed Matter Physics (63 citations), Materials Chemistry (205 citations), Acoustics and Ultrasonics (2 citations) and Electronic, Optical and Magnetic Materials (37 citations). Vicky Süβ has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Claudia Felser, Chandra Shekhar, Yan Sun, Nitesh Kumar, Johannes Gooth, Bernd Gotsmann, Fabian Menges, Robert Zierold, Ute Drechsler and Guowei Li. Their work appears in journals such as Advanced Materials, Nature Communications, Journal of Physics Materials and Energy & Environmental Science.
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.