Claudius Krause
- Nuclear and High Energy Physics top 2%
- Artificial Intelligence top 5%
- Astronomy and Astrophysics top 10%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Gerhard BuchallaOscar CatàDavid ShihJoshua IsaacsonChristina GaoAlejandro CelisGermano NardiniM. Chala
- Topics
- Particle physics theoretical and experimental studies (29 papers)Computational Physics and Python Applications (9 papers)Black Holes and Theoretical Physics (9 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Claudius Krause
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 43
- Nuclear and High Energy Physics 897
- Artificial Intelligence 203
- Astronomy and Astrophysics 198
- Statistical and Nonlinear Physics 43
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Claudius Krause
This map shows the geographic impact of Claudius Krause'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 Claudius Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudius Krause more than expected).
Fields of papers citing papers by Claudius Krause
This network shows the impact of papers produced by Claudius Krause. 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 Claudius Krause. The network helps show where Claudius Krause may publish in the future.
Co-authorship network of co-authors of Claudius Krause
This figure shows the co-authorship network connecting the top 25 collaborators of Claudius Krause. A scholar is included among the top collaborators of Claudius Krause 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 Claudius Krause. Claudius Krause is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 28 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 31 | |
| 13 | 30 | |
| 14 | 63 | |
| 15 | 2 | |
| 16 | 57 | |
| 17 | 29 | |
| 18 | 38 | |
| 19 | 47 | |
| 20 | 158 |
About Claudius Krause
Claudius Krause is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Astronomy and Astrophysics, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (29 papers), Computational Physics and Python Applications (9 papers) and Black Holes and Theoretical Physics (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (897 citations), Astronomy and Astrophysics (198 citations) and Artificial Intelligence (203 citations). Claudius Krause has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Gerhard Buchalla, Oscar Catà, David Shih, Joshua Isaacson, Christina Gao, Alejandro Celis, Germano Nardini, M. Chala, Jorge de Blas and Otto Eberhardt. Their work appears in journals such as Nuclear Physics B, Physics Letters B and Journal of High Energy Physics.
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.