Kevin Sieck

2.6k total citations
21 papers, 803 citations indexed

About

Kevin Sieck is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Kevin Sieck has authored 21 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 2 papers in Nature and Landscape Conservation. Recurrent topics in Kevin Sieck's work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (11 papers) and Cryospheric studies and observations (5 papers). Kevin Sieck is often cited by papers focused on Climate variability and models (15 papers), Meteorological Phenomena and Simulations (11 papers) and Cryospheric studies and observations (5 papers). Kevin Sieck collaborates with scholars based in Germany, United States and Austria. Kevin Sieck's co-authors include Daniela Jacob, Diana Rechid, Claas Teichmann, Pankaj Kumar, Armelle Reca Remedio, Alberto Elizalde, Fahad Saeed, Andreas Haensler, Sven Kotlarski and Stefan Hagemann and has published in prestigious journals such as Geophysical Research Letters, International Journal of Climatology and Climate Dynamics.

In The Last Decade

Kevin Sieck

20 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Sieck Germany 13 599 517 80 69 66 21 803
Fangying Wu China 13 727 1.2× 865 1.7× 88 1.1× 69 1.0× 61 0.9× 20 1.2k
Stephen Outten Norway 14 729 1.2× 586 1.1× 39 0.5× 60 0.9× 96 1.5× 26 964
Ziyi Cai China 12 636 1.1× 710 1.4× 77 1.0× 64 0.9× 63 1.0× 16 1.0k
Zhao Zongci China 13 649 1.1× 512 1.0× 113 1.4× 66 1.0× 39 0.6× 40 818
David Werth United States 12 797 1.3× 343 0.7× 119 1.5× 41 0.6× 39 0.6× 32 960
Chad W. Thackeray United States 18 815 1.4× 919 1.8× 131 1.6× 52 0.8× 63 1.0× 32 1.2k
Κωνσταντία Τολίκα Greece 22 826 1.4× 640 1.2× 102 1.3× 50 0.7× 128 1.9× 48 1.1k
Ennio Ferrari Italy 17 774 1.3× 390 0.8× 200 2.5× 92 1.3× 22 0.3× 40 939
Shankar Sharma China 16 658 1.1× 547 1.1× 152 1.9× 82 1.2× 32 0.5× 56 941

Countries citing papers authored by Kevin Sieck

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Sieck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Sieck

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

All Works

20 of 20 papers shown
1.
Bell, Louisa, K. Heinke Schlünzen, & Kevin Sieck. (2023). Influence of data uncertainty on cold season threshold-based climate indices. Meteorologische Zeitschrift. 32(3). 195–206.
2.
Sieck, Kevin, Christine Nam, Laurens M. Bouwer, Diana Rechid, & Daniela Jacob. (2021). Weather extremes over Europe under 1.5 and 2.0 °C global warming from HAPPI regional climate ensemble simulations. Earth System Dynamics. 12(2). 457–468. 10 indexed citations
3.
Langendijk, Gaby S., Diana Rechid, Kevin Sieck, & Daniela Jacob. (2021). Added value of convection-permitting simulations for understanding future urban humidity extremes: case studies for Berlin and its surroundings. Weather and Climate Extremes. 33. 100367–100367. 9 indexed citations
4.
Cabos, William, et al.. (2020). Impact of ocean-atmosphere coupling on regional climate: the Iberian Peninsula case. Climate Dynamics. 54(9-10). 4441–4467. 27 indexed citations
5.
Remedio, Armelle Reca, Claas Teichmann, Lars Buntemeyer, et al.. (2019). High resolution climate change simulations over ten CORDEX-CORE Domains using the regional climate model REMO. EGUGA. 14370. 1 indexed citations
6.
Pietikäinen, Joni‐Pekka, Tiina Markkanen, Kevin Sieck, et al.. (2018). The regional climate model REMO (v2015) coupled with the 1-D freshwater lake model FLake (v1): Fenno-Scandinavian climate and lakes. Geoscientific model development. 11(4). 1321–1342. 33 indexed citations
7.
Teichmann, Claas, Katharina Bülow, Juliane Otto, et al.. (2018). Avoiding Extremes: Benefits of Staying below +1.5 °C Compared to +2.0 °C and +3.0 °C Global Warming. Atmosphere. 9(4). 115–115. 26 indexed citations
8.
Cabos, William, Dmitry Sein, Ana María Durán‐Quesada, et al.. (2018). Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model. Climate Dynamics. 52(7-8). 4305–4328. 37 indexed citations
9.
Sieck, Kevin, et al.. (2016). A new generation of the regional climate model REMO: REMO non-hydrostatic. EGUGA. 1 indexed citations
10.
Sieck, Kevin & Daniela Jacob. (2016). Influence of the Boundary Forcing on the Internal Variability of a Regional Climate Model. American Journal of Climate Change. 5(3). 373–382. 12 indexed citations
11.
Kumar, Pankaj, Sven Kotlarski, Christopher Moseley, et al.. (2015). Response of Karakoram‐Himalayan glaciers to climate variability and climatic change: A regional climate model assessment. Geophysical Research Letters. 42(6). 1818–1825. 67 indexed citations
12.
Cerezo‐Mota, Ruth, et al.. (2015). CORDEX‐NA: factors inducing dry/wet years on the North American Monsoon region. International Journal of Climatology. 36(2). 824–836. 21 indexed citations
13.
Gálos, Borbála, Stefan Hagemann, Andreas Hänsler, et al.. (2013). Case study for the assessment of the biogeophysical effects of a potential afforestation in Europe. Carbon Balance and Management. 8(1). 3–3. 29 indexed citations
14.
Sieck, Kevin. (2013). Internal variability in the Regional Climate Model REMO. Max Planck Digital Library. 2 indexed citations
15.
Teichmann, Claas, Bastian Eggert, Alberto Elizalde, et al.. (2013). How Does a Regional Climate Model Modify the Projected Climate Change Signal of the Driving GCM: A Study over Different CORDEX Regions Using REMO. Atmosphere. 4(2). 214–236. 107 indexed citations
16.
Jacob, Daniela, Alberto Elizalde, Andreas Haensler, et al.. (2012). Assessing the Transferability of the Regional Climate Model REMO to Different COordinated Regional Climate Downscaling EXperiment (CORDEX) Regions. Atmosphere. 3(1). 181–199. 238 indexed citations
17.
Gálos, Borbála, Andreas Hänsler, Georg Kindermann, et al.. (2012). The Role of Forests in Mitigating Climate Change – a Case Study for Europe. Acta silvatica & lignaria Hungarica. 8(1). 87–102. 9 indexed citations
18.
Aich, Valentin, et al.. (2011). Development of Wet-Bulb-Temperatures in Germany with special regard to conventional thermal Power Plants using Wet Cooling Towers. Meteorologische Zeitschrift. 20(6). 601–614. 1 indexed citations
19.
Jacob, Daniela, et al.. (2008). Klimaauswirkungen und Anpassung in Deutschland - Phase 1: Erstellung regionaler Klimaszenarien für Deutschland. Max Planck Institute for Plasma Physics. 68 indexed citations
20.
Brennen, Christopher E., Kevin Sieck, & J. Paslaski. (1983). Hydraulic jumps in granular material flow. Powder Technology. 35(1). 31–37. 38 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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