Hanno Gottschalk
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Mechanics of Materials
- Mathematical Physics top 10%
- Co-authors
- Matthias RottmannSergio AlbeverioRobin ChanJiang-Lun WuSebastian SchmitzTilmann BeckG. RollmannBritta Stumpe
- Topics
- Black Holes and Theoretical Physics (7 papers)Fatigue and fracture mechanics (7 papers)Advanced Neural Network Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysics Letters BIEEE Access
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Hanno Gottschalk
53 papers receiving 444 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 107
- Artificial Intelligence 104
- Mechanical Engineering 75
- Mechanics of Materials 74
- Mathematical Physics 59
Countries citing papers authored by Hanno Gottschalk
This map shows the geographic impact of Hanno Gottschalk'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 Hanno Gottschalk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanno Gottschalk more than expected).
Fields of papers citing papers by Hanno Gottschalk
This network shows the impact of papers produced by Hanno Gottschalk. 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 Hanno Gottschalk. The network helps show where Hanno Gottschalk may publish in the future.
Co-authorship network of co-authors of Hanno Gottschalk
This figure shows the co-authorship network connecting the top 25 collaborators of Hanno Gottschalk. A scholar is included among the top collaborators of Hanno Gottschalk 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 Hanno Gottschalk. Hanno Gottschalk 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 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 16 | |
| 16 | 7 | |
| 17 | On a third S-matrix in the theory of quantized fields on curved spacetimes | 2 |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 3 |
About Hanno Gottschalk
Hanno Gottschalk is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Algebra and Number Theory, having authored 60 papers that have together received 461 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (7 papers), Fatigue and fracture mechanics (7 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Mathematical Physics (59 citations), Computer Vision and Pattern Recognition (107 citations) and Algebra and Number Theory (18 citations). Hanno Gottschalk has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Matthias Rottmann, Sergio Albeverio, Robin Chan, Jiang-Lun Wu, Sebastian Schmitz, Tilmann Beck, G. Rollmann, Britta Stumpe, Rolf Krause and Francesca di Mare. Their work appears in journals such as SHILAP Revista de lepidopterología, Physics Letters B and IEEE Access.
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.