Micha Gryschka

1.2k total citations · 1 hit paper
13 papers, 766 citations indexed

About

Micha Gryschka is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Micha Gryschka has authored 13 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 2 papers in Computational Mechanics. Recurrent topics in Micha Gryschka's work include Meteorological Phenomena and Simulations (10 papers), Arctic and Antarctic ice dynamics (4 papers) and Climate variability and models (3 papers). Micha Gryschka is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Arctic and Antarctic ice dynamics (4 papers) and Climate variability and models (3 papers). Micha Gryschka collaborates with scholars based in Germany, Russia and Japan. Micha Gryschka's co-authors include Siegfried Raasch, Atsushi Inagaki, Manabu Kanda, Siegfried Raasch, Takashi Miyamoto, Matthias Sühring, Fabian Hoffmann, Klaus Ketelsen, Farah Kanani-Sühring and Björn Maronga and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric chemistry and physics.

In The Last Decade

Micha Gryschka

12 papers receiving 751 citations

Hit Papers

The Parallelized Large-Eddy Simulation Model (PALM) versi... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives
    2015 353 citations Björn Maronga, Micha Gryschka et al. Geoscientific model development profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Micha Gryschka Germany 9 465 407 308 137 119 13 766
Klaus Ketelsen Germany 5 304 0.7× 280 0.7× 248 0.8× 106 0.8× 86 0.7× 8 574
Farah Kanani-Sühring Germany 12 536 1.2× 284 0.7× 267 0.9× 116 0.8× 87 0.7× 17 738
Matthias Sühring Germany 15 649 1.4× 329 0.8× 321 1.0× 171 1.2× 100 0.8× 30 865
Marcel Bottema Netherlands 12 405 0.9× 168 0.4× 135 0.4× 82 0.6× 176 1.5× 28 603
Robert E. Lawson United States 13 487 1.0× 298 0.7× 160 0.5× 145 1.1× 107 0.9× 29 690
Seung‐Bu Park South Korea 16 690 1.5× 414 1.0× 289 0.9× 108 0.8× 126 1.1× 35 928
Marco G. Giometto United States 12 500 1.1× 240 0.6× 177 0.6× 190 1.4× 96 0.8× 43 681
Siegfried Raasch Germany 18 1.1k 2.3× 551 1.4× 429 1.4× 284 2.1× 219 1.8× 31 1.3k
Björn Maronga Germany 22 986 2.1× 705 1.7× 631 2.0× 256 1.9× 162 1.4× 49 1.4k
Clara García‐Sánchez United States 13 435 0.9× 199 0.5× 65 0.2× 143 1.0× 168 1.4× 21 564

Countries citing papers authored by Micha Gryschka

Since Specialization
Citations

This map shows the geographic impact of Micha Gryschka'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 Micha Gryschka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micha Gryschka more than expected).

Fields of papers citing papers by Micha Gryschka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micha Gryschka. 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 Micha Gryschka. The network helps show where Micha Gryschka may publish in the future.

Co-authorship network of co-authors of Micha Gryschka

This figure shows the co-authorship network connecting the top 25 collaborators of Micha Gryschka. A scholar is included among the top collaborators of Micha Gryschka 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 Micha Gryschka. Micha Gryschka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Klingebiel, Marcus, André Ehrlich, Micha Gryschka, et al.. (2025). Airborne observations of cloud properties during their evolution from organized streets to isotropic cloud structures along an Arctic cold-air outbreak. Atmospheric chemistry and physics. 25(17). 9787–9801.
2.
Gryschka, Micha, Vladimir M. Gryanik, Christof Lüpkes, et al.. (2023). Turbulent Heat Exchange Over Polar Leads Revisited: A Large Eddy Simulation Study. Journal of Geophysical Research Atmospheres. 128(12). 3 indexed citations
3.
Lüpkes, Christof, et al.. (2020). Influence of Lead width on the Turbulent Flow Over Sea Ice Leads: Modeling and Parametrization. Journal of Geophysical Research Atmospheres. 125(15). 8 indexed citations
4.
Roode, Stephan R. de, Thomas Frederikse, A. Pier Siebesma, et al.. (2019). Turbulent Transport in the Gray Zone: A Large Eddy Model Intercomparison Study of the CONSTRAIN Cold Air Outbreak Case. Journal of Advances in Modeling Earth Systems. 11(3). 597–623. 20 indexed citations
5.
Gronemeier, Tobias, Atsushi Inagaki, Micha Gryschka, & Manabu Kanda. (2015). LARGE-EDDY SIMULATION OF AN URBAN CANOPY USING A SYNTHETIC TURBULENCE INFLOW GENERATION METHOD. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 71(4). I_43–I_48. 6 indexed citations
6.
Maronga, Björn, Micha Gryschka, Robert C. Heinze, et al.. (2015). The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives. Geoscientific model development. 8(8). 2515–2551. 353 indexed citations breakdown →
7.
Gryschka, Micha, et al.. (2014). On the impact of forced roll convection on vertical turbulent transport in cold air outbreaks. Journal of Geophysical Research Atmospheres. 119(22). 21 indexed citations
8.
Kanda, Manabu, Atsushi Inagaki, Takashi Miyamoto, Micha Gryschka, & Siegfried Raasch. (2013). A New Aerodynamic Parametrization for Real Urban Surfaces. Boundary-Layer Meteorology. 148(2). 357–377. 212 indexed citations
9.
Lüpkes, Christof, et al.. (2008). Modeling convection over arctic leads with LES and a non‐eddy‐resolving microscale model. Journal of Geophysical Research Atmospheres. 113(C9). 38 indexed citations
10.
Noh, Yign, et al.. (2008). Formation of a Diurnal Thermocline in the Ocean Mixed Layer Simulated by LES. Journal of Physical Oceanography. 39(5). 1244–1257. 34 indexed citations
11.
Gryschka, Micha & Björn Witha. (2008). Scale analysis of convective clouds. Meteorologische Zeitschrift. 17(6). 785–791. 8 indexed citations
12.
Gryschka, Micha, Clemens Drüe, Dieter Etling, & Siegfried Raasch. (2008). On the influence of sea‐ice inhomogeneities onto roll convection in cold‐air outbreaks. Geophysical Research Letters. 35(23). 35 indexed citations
13.
Gryschka, Micha & Siegfried Raasch. (2005). Roll convection during a cold air outbreak: A large eddy simulation with stationary model domain. Geophysical Research Letters. 32(14). 28 indexed citations

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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