Daniel Karrasch
Impact in
- Oceanography top 10%
- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
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- Quantum chaos and dynamical systems
- Model Reduction and Neural Networks
Papers in
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- Fluid Dynamics and Turbulent Flows 6
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- Quantum chaos and dynamical systems 4
- Co-authors
- George Haller (5 shared papers)Alireza Hadjighasem (2 shared papers)Hiroshi Teramoto (2 shared papers)F. J. Beron‐Vera (2 shared papers)Thai Son Doan (1 shared paper)Stefan Siegmund (1 shared paper)Gustavo Goñi (1 shared paper)Joaquín Triñanes (1 shared paper)
- Journals
- SIAM Journal on Applied Dynamical Systems (2 papers)Journal of Differential Equations (2 papers)Physics of Fluids (2 papers)Physica D Nonlinear Phenomena (1 paper)Nonlinearity (1 paper)
- Partner nations
- GermanySwitzerlandMexico
In The Last Decade
Daniel Karrasch
11 papers receiving 225 citations
Peers
Comparison fields: 5 of 52
- Oceanography 73
- Statistical and Nonlinear Physics 60
- Atmospheric Science 73
- Computational Mechanics 67
- Earth-Surface Processes 15
Countries citing papers authored by Daniel Karrasch
This map shows the geographic impact of Daniel Karrasch'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 Daniel Karrasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Karrasch more than expected).
Fields of papers citing papers by Daniel Karrasch
This network shows the impact of papers produced by Daniel Karrasch. 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 Daniel Karrasch. The network helps show where Daniel Karrasch may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Karrasch, 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 | 2016 | 107 | |
| 2 | 2018 | 40 | |
| 3 | 2022 | 20 | |
| 4 | 2020 | 18 | |
| 5 | 2012 | 15 | |
| 6 | 2020 | 10 | |
| 7 | 2012 | 9 | |
| 8 | 2012 | 7 | |
| 9 | 2018 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2018 | 0 |
About Daniel Karrasch
Daniel Karrasch is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Atmospheric Science, Computer Networks and Communications and Control and Systems Engineering, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (6 papers), Quantum chaos and dynamical systems (4 papers), Meteorological Phenomena and Simulations (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Quantum, superfluid, helium dynamics (2 papers), Ocean Waves and Remote Sensing (2 papers), Tropical and Extratropical Cyclones Research (2 papers) and Oceanographic and Atmospheric Processes (2 papers). The work is most often cited by research in Oceanography (73 citations), Statistical and Nonlinear Physics (60 citations), Atmospheric Science (73 citations), Computational Mechanics (67 citations) and Earth-Surface Processes (15 citations). Daniel Karrasch has collaborated with scholars based in Germany, Switzerland and Mexico. Frequent co-authors include George Haller, Alireza Hadjighasem, Hiroshi Teramoto, F. J. Beron‐Vera, Thai Son Doan, Stefan Siegmund, Gustavo Goñi, Joaquín Triñanes, M. J. Olascoaga and Oliver Junge. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, Journal of Differential Equations, Physics of Fluids, Physica D Nonlinear Phenomena and Nonlinearity.
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.