Fabian B. Fuchs
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Computational Theory and Mathematics
- Information Systems
- Co-authors
- Max WellingDaniel DellingVolker FischerAndrew V. GoldbergEdith CohenRenato F. WerneckMoisés GoldszmidtDaniel E. Worrall
- Topics
- Machine Learning in Materials Science (2 papers)Advanced Aircraft Design and Technologies (2 papers)Turbomachinery Performance and Optimization (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaUvA-DARE (University of Amsterdam)arXiv (Cornell University)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Fabian B. Fuchs
7 papers receiving 59 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 22
- Computer Vision and Pattern Recognition 16
- Statistical and Nonlinear Physics 16
- Computational Theory and Mathematics 10
- Information Systems 10
Countries citing papers authored by Fabian B. Fuchs
This map shows the geographic impact of Fabian B. Fuchs'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 Fabian B. Fuchs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian B. Fuchs more than expected).
Fields of papers citing papers by Fabian B. Fuchs
This network shows the impact of papers produced by Fabian B. Fuchs. 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 Fabian B. Fuchs. The network helps show where Fabian B. Fuchs may publish in the future.
Co-authorship network of co-authors of Fabian B. Fuchs
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian B. Fuchs. A scholar is included among the top collaborators of Fabian B. Fuchs 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 Fabian B. Fuchs. Fabian B. Fuchs 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 | 0 | |
| 3 | E(n) Equivariant Normalizing Flows for Molecule Generation in 3D | 7 |
| 4 | SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks | 14 |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | Analysis of Scheduling and Topology-Control Algorithms for Wireless Ad Hoc Networks | 2 |
| 9 | On Preprocessing the ALT-Algorithm | 2 |
About Fabian B. Fuchs
Fabian B. Fuchs is a scholar working on Fluid Flow and Transfer Processes, Computational Theory and Mathematics and Applied Mathematics, having authored 9 papers that have together received 61 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Advanced Aircraft Design and Technologies (2 papers) and Turbomachinery Performance and Optimization (2 papers). The work is most often cited by research in Structural Biology (3 citations), Computational Mathematics (1 citation) and Statistical and Nonlinear Physics (16 citations). Fabian B. Fuchs has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Max Welling, Daniel Delling, Volker Fischer, Andrew V. Goldberg, Edith Cohen, Renato F. Werneck, Moisés Goldszmidt, Daniel E. Worrall, Ingmar Posner and Martin Engelcke. Their work appears in journals such as SHILAP Revista de lepidopterología, UvA-DARE (University of Amsterdam) and arXiv (Cornell University).
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.