Niklas W. A. Gebauer
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Michael GasteggerKristof T. SchüttKlaus‐Robert MüllerJonas LedererNeeraj KumarJames BrownRajendra P. JoshiTamio Oguchi
- Topics
- Machine Learning in Materials Science (5 papers)Protein Structure and Dynamics (2 papers)Computational Drug Discovery Methods (2 papers)
- Partner nations
- GermanySouth KoreaJapan
In The Last Decade
Niklas W. A. Gebauer
5 papers receiving 211 citations
Peers
Comparison fields: 5 of 59
- Materials Chemistry 155
- Computational Theory and Mathematics 124
- Molecular Biology 70
- Electrical and Electronic Engineering 24
- Artificial Intelligence 21
Countries citing papers authored by Niklas W. A. Gebauer
This map shows the geographic impact of Niklas W. A. Gebauer'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 Niklas W. A. Gebauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niklas W. A. Gebauer more than expected).
Fields of papers citing papers by Niklas W. A. Gebauer
This network shows the impact of papers produced by Niklas W. A. Gebauer. 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 Niklas W. A. Gebauer. The network helps show where Niklas W. A. Gebauer may publish in the future.
Co-authorship network of co-authors of Niklas W. A. Gebauer
This figure shows the co-authorship network connecting the top 25 collaborators of Niklas W. A. Gebauer. A scholar is included among the top collaborators of Niklas W. A. Gebauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niklas W. A. Gebauer. Niklas W. A. Gebauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 55 | |
| 3 | 123 | |
| 4 | 31 | |
| 5 | Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules | 6 |
About Niklas W. A. Gebauer
Niklas W. A. Gebauer is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Spectroscopy, having authored 5 papers that have together received 221 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Protein Structure and Dynamics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (124 citations), Materials Chemistry (155 citations) and Environmental Chemistry (16 citations). Niklas W. A. Gebauer has collaborated with scholars based in Germany, South Korea and Japan. Frequent co-authors include Michael Gastegger, Kristof T. Schütt, Klaus‐Robert Müller, Jonas Lederer, Neeraj Kumar, James Brown, Rajendra P. Joshi, Tamio Oguchi and Tomoki Yamashita. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and The Journal of Physical Chemistry B.
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.