Katrin Schulz
Impact in
- Materials Chemistry top 10%
- Microstructure and mechanical properties
- Machine Learning in Materials Science
- Nonlocal and gradient elasticity in micro/nano structures
- Mechanics of Materials top 10%
- Metallurgy and Material Forming
- Composite Material Mechanics
Papers in
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- Microstructure and mechanical properties 30
- Machine Learning in Materials Science 6
- Ferroelectric and Piezoelectric Materials 2
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- Composite Material Mechanics 2
- Co-authors
- D. Weygand (8 shared papers)Peter Gumbsch (12 shared papers)Thomas Hochrainer (2 shared papers)Kay André Weidenmann (4 shared papers)Yichao Zhu (1 shared paper)Christian Wieners (3 shared papers)Doyl Dickel (4 shared papers)Yang Xiang (1 shared paper)
In The Last Decade
Katrin Schulz
41 papers receiving 482 citations
Peers
Comparison fields: 5 of 25
- Materials Chemistry 343
- Mechanics of Materials 77
- Mechanical Engineering 115
- Ceramics and Composites 9
- Computational Theory and Mathematics 14
Countries citing papers authored by Katrin Schulz
This map shows the geographic impact of Katrin Schulz'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 Katrin Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Schulz more than expected).
Fields of papers citing papers by Katrin Schulz
This network shows the impact of papers produced by Katrin Schulz. 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 Katrin Schulz. The network helps show where Katrin Schulz may publish in the future.
Co-authors
The 21 scholars most cited alongside Katrin Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2018 | 45 | |
| 3 | 2014 | 38 | |
| 4 | 2016 | 33 | |
| 5 | 2019 | 30 | |
| 6 | 2020 | 27 | |
| 7 | 2022 | 23 | |
| 8 | 2011 | 20 | |
| 9 | 2015 | 20 | |
| 10 | 2018 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2014 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2022 | 7 |
About Katrin Schulz
Katrin Schulz is a scholar working on Materials Chemistry, Mechanics of Materials, Mechanical Engineering, Computational Mechanics and Ceramics and Composites, having authored 44 papers that have together received 489 indexed citations. Recurring topics across this work include Microstructure and mechanical properties (30 papers), Machine Learning in Materials Science (6 papers), Aluminum Alloys Composites Properties (5 papers), Cellular and Composite Structures (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Ferroelectric and Piezoelectric Materials (2 papers), Composite Material Mechanics (2 papers) and Tribology and Lubrication Engineering (2 papers). The work is most often cited by research in Materials Chemistry (343 citations), Mechanics of Materials (77 citations), Mechanical Engineering (115 citations), Ceramics and Composites (9 citations) and Computational Theory and Mathematics (14 citations). Katrin Schulz has collaborated with scholars based in Germany, Hungary and Austria. Frequent co-authors include D. Weygand, Peter Gumbsch, Thomas Hochrainer, Kay André Weidenmann, Yichao Zhu, Christian Wieners, Doyl Dickel, Yang Xiang, Sven Klinkel and Stefan Sandfeld. Their work appears in journals such as Modelling and Simulation in Materials Science and Engineering, Journal of the Mechanics and Physics of Solids, Scripta Materialia, Acta Materialia and International Journal of Plasticity.
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.