Daniel Karrasch

420 citations
13 papers · 248 · h-index 8

Impact in

Papers in

Daniel Karrasch

12 papers receiving 242 citations

Peers

Daniel Karrasch
Comparison fields: 5 of 53
  • Oceanography 77
  • Statistical and Nonlinear Physics 67
  • Atmospheric Science 74
  • Computational Mechanics 73
  • Earth-Surface Processes 15
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Montri Maleewong Thailand
Des Small United Kingdom
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Valentin Churavy United States
Jahanshah Davoudi Germany
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Khalid Daoudi France
Michele Buzzicotti Italy
Patrick Héas France
John D. McCalpin United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Karrasch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 11 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.

Border = papers with Daniel Karrasch Line = papers co-authored together Daniel Karrasch links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016112
2 201843
3 202221
4 202018
5 201216
6 202010
7 201210
8 20127
9
ATTRACTION-BASED COMPUTATION OF HYPERBOLIC LAGRANGIAN COHERENT STRUCTURES
20165
10 20183
11 20211
12 20181
13 20151

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 13 papers that have together received 248 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (6 papers), Quantum chaos and dynamical systems (5 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Fluid Dynamics and Heat Transfer (2 papers), Tropical and Extratropical Cyclones Research (2 papers), Ocean Waves and Remote Sensing (2 papers), Stability and Controllability of Differential Equations (2 papers) and Oceanographic and Atmospheric Processes (2 papers). The work is most often cited by research in Oceanography (77 citations), Statistical and Nonlinear Physics (67 citations), Atmospheric Science (74 citations), Computational Mechanics (73 citations) and Earth-Surface Processes (15 citations). Daniel Karrasch has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include George Haller, Hiroshi Teramoto, Alireza Hadjighasem, F. J. Beron‐Vera, Stefan Siegmund, Gustavo Goñi, M. J. Olascoaga, Joaquín Triñanes, Thai Son Doan and Mohammad Farazmand. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, Physics of Fluids, Journal of Differential Equations, Proceedings of the National Academy of Sciences 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.

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