Annika Stuke
Impact in
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Materials Science 3
- X-ray Diffraction in Crystallography 1
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- Machine Learning and Data Classification 1
- Machine Learning and Algorithms 1
Annika Stuke
4 papers receiving 307 citations
Peers
Comparison fields: 5 of 86
- Biophysics 27
- Computational Theory and Mathematics 68
- Structural Biology 5
- Materials Chemistry 157
- Analytical Chemistry 24
Countries citing papers authored by Annika Stuke
This map shows the geographic impact of Annika Stuke'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 Annika Stuke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annika Stuke more than expected).
Fields of papers citing papers by Annika Stuke
This network shows the impact of papers produced by Annika Stuke. 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 Annika Stuke. The network helps show where Annika Stuke may publish in the future.
Co-authors
The 9 scholars most cited alongside Annika Stuke, 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 | 2019 | 190 | |
| 2 | 2022 | 68 | |
| 3 | 2021 | 45 | |
| 4 | 2019 | 10 |
About Annika Stuke
Annika Stuke is a scholar working on Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, Biophysics and Electrical and Electronic Engineering, having authored 4 papers that have together received 313 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Advanced Chemical Sensor Technologies (1 paper), Machine Learning and Data Classification (1 paper), Computational Drug Discovery Methods (1 paper), Machine Learning and Algorithms (1 paper), Fuel Cells and Related Materials (1 paper), X-ray Diffraction in Crystallography (1 paper) and Spectroscopy Techniques in Biomedical and Chemical Research (1 paper). The work is most often cited by research in Biophysics (27 citations), Computational Theory and Mathematics (68 citations), Structural Biology (5 citations), Materials Chemistry (157 citations) and Analytical Chemistry (24 citations). Annika Stuke has collaborated with scholars based in Finland, Germany and Denmark. Frequent co-authors include Milica Todorović, Patrick Rinke, Peter Bjørn Jørgensen, Aki Vehtari, Kunal Ghosh, Mikkel N. Schmidt, Alexander Urban, Haoyue Guo and Nongnuch Artrith. Their work appears in journals such as Advanced Science and Frontiers in Energy Research.
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.