Vera Schemann

2.8k total citations
24 papers, 291 citations indexed

About

Vera Schemann is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Vera Schemann has authored 24 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 2 papers in Computational Mechanics. Recurrent topics in Vera Schemann's work include Meteorological Phenomena and Simulations (18 papers), Atmospheric aerosols and clouds (15 papers) and Climate variability and models (8 papers). Vera Schemann is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Atmospheric aerosols and clouds (15 papers) and Climate variability and models (8 papers). Vera Schemann collaborates with scholars based in Germany, United States and Finland. Vera Schemann's co-authors include Roel Neggers, Susanne Crewell, Kerstin Ebell, Davide Ori, Stefan Kneifel, Mario Mech, Thirza W. van Laar, Pavlos Kollias, Emiliano Orlandi and Maximilian Maahn and has published in prestigious journals such as Journal of the Atmospheric Sciences, Nature Geoscience and Atmospheric chemistry and physics.

In The Last Decade

Vera Schemann

22 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Schemann Germany 11 264 252 39 27 10 24 291
Adele L. Igel United States 13 465 1.8× 458 1.8× 46 1.2× 35 1.3× 13 1.3× 34 502
Kirk North Canada 6 310 1.2× 287 1.1× 20 0.5× 27 1.0× 7 0.7× 6 335
Andrew I. Barrett United Kingdom 14 380 1.4× 353 1.4× 32 0.8× 39 1.4× 21 2.1× 22 410
Xiaoqi Xu China 12 272 1.0× 278 1.1× 46 1.2× 23 0.9× 3 0.3× 27 311
Karly J. Reimel United States 4 306 1.2× 266 1.1× 29 0.7× 27 1.0× 17 1.7× 4 345
Alyssa Matthews United States 7 215 0.8× 199 0.8× 27 0.7× 15 0.6× 9 0.9× 20 238
T. Iguchi United States 13 380 1.4× 331 1.3× 28 0.7× 20 0.7× 10 1.0× 28 399
Innocent Kudzotsa United Kingdom 7 206 0.8× 205 0.8× 24 0.6× 47 1.7× 30 3.0× 10 242
Peter J. Marinescu United States 10 274 1.0× 255 1.0× 28 0.7× 18 0.7× 6 0.6× 24 297
Zhiguo Yue China 8 289 1.1× 301 1.2× 66 1.7× 18 0.7× 12 1.2× 15 316

Countries citing papers authored by Vera Schemann

Since Specialization
Citations

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

Fields of papers citing papers by Vera Schemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Schemann

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Schemann. A scholar is included among the top collaborators of Vera Schemann 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 Vera Schemann. Vera Schemann 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.
Wendisch, Manfred, Davide Ori, Matthew D. Shupe, et al.. (2025). Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks. Atmospheric chemistry and physics. 25(21). 15047–15076.
2.
Ewald, Florian, Heike Konow, Mario Mech, et al.. (2025). Moisture budget estimates derived from airborne observations in an Arctic atmospheric river during its dissipation. Atmospheric chemistry and physics. 25(14). 8329–8354. 1 indexed citations
3.
Konow, Heike, et al.. (2024). Observability of moisture transport divergence in Arctic atmospheric rivers by dropsondes. Atmospheric chemistry and physics. 24(15). 8771–8795. 3 indexed citations
4.
Ori, Davide, et al.. (2024). Microphysical processes involving the vapour phase dominate in simulated low-level Arctic clouds. Atmospheric chemistry and physics. 24(17). 10039–10053. 1 indexed citations
5.
Ebell, Kerstin, et al.. (2023). A Performance Baseline for the Representation of Clouds and Humidity in Cloud‐Resolving ICON‐LEM Simulations in the Arctic. Journal of Advances in Modeling Earth Systems. 15(5). 6 indexed citations
6.
Gierens, Rosa, et al.. (2023). Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations. Earth system science data. 15(12). 5427–5448. 3 indexed citations
7.
Rinke, Annette, Mario Mech, Daniel Reinert, et al.. (2022). Case study of a moisture intrusion over the Arctic with the ICOsahedral Non-hydrostatic (ICON) model: resolution dependence of its representation. Atmospheric chemistry and physics. 22(1). 173–196. 13 indexed citations
8.
Schemann, Vera, Kerstin Ebell, Bernhard Pospichal, et al.. (2020). Linking Large‐Eddy Simulations to Local Cloud Observations. Journal of Advances in Modeling Earth Systems. 12(12). 16 indexed citations
9.
Ruiz-Donoso, Elena, André Ehrlich, Michael Schäfer, et al.. (2020). Small-scale structure of thermodynamic phase in Arctic mixed-phase clouds observed by airborne remote sensing during a cold air outbreak and a warm air advection event. Atmospheric chemistry and physics. 20(9). 5487–5511. 24 indexed citations
10.
Schemann, Vera & Kerstin Ebell. (2020). Simulation of mixed-phase clouds with the ICON large-eddy model in the complex Arctic environment around Ny-Ålesund. Atmospheric chemistry and physics. 20(1). 475–485. 19 indexed citations
11.
Löhnert, Ulrich, et al.. (2020). Detection of land-surface-induced atmospheric water vapor patterns. Atmospheric chemistry and physics. 20(3). 1723–1736. 7 indexed citations
12.
Jacob, Marek, Pavlos Kollias, Felix Ament, Vera Schemann, & Susanne Crewell. (2020). Multi-layer Cloud Conditions in Trade Wind Shallow Cumulus – Confronting Models with Airborne Observations. Kölner Universitäts PublikationsServer (Universität zu Köln). 2 indexed citations
13.
Jacob, Marek, Pavlos Kollias, Felix Ament, Vera Schemann, & Susanne Crewell. (2020). Multilayer cloud conditions in trade wind shallow cumulus – confronting two ICON model derivatives with airborne observations. Geoscientific model development. 13(11). 5757–5777. 8 indexed citations
14.
Mech, Mario, Maximilian Maahn, Stefan Kneifel, et al.. (2020). PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere. Geoscientific model development. 13(9). 4229–4251. 47 indexed citations
15.
Ori, Davide, et al.. (2020). Evaluation of ice particle growth in ICON using statistics of multi‐frequency Doppler cloud radar observations. Quarterly Journal of the Royal Meteorological Society. 146(733). 3830–3849. 26 indexed citations
16.
Neggers, Roel, Ulrike Egerer, Hannes Griesche, et al.. (2019). Local and Remote Controls on Arctic Mixed‐Layer Evolution. Journal of Advances in Modeling Earth Systems. 11(7). 2214–2237. 32 indexed citations
17.
Schemann, Vera, et al.. (2018). Evaluating and Improving a PDF Cloud Scheme Using High‐Resolution Super Large Domain Simulations. Journal of Advances in Modeling Earth Systems. 10(9). 2245–2268. 2 indexed citations
18.
Schemann, Vera, et al.. (2018). Investigating the Scale Adaptivity of a Size-Filtered Mass Flux Parameterization in the Gray Zone of Shallow Cumulus Convection. Journal of the Atmospheric Sciences. 75(4). 1195–1214. 13 indexed citations
19.
Crewell, Susanne, et al.. (2018). Long-Term Observations and High-Resolution Modeling of Midlatitude Nocturnal Boundary Layer Processes Connected to Low-Level Jets. Journal of Applied Meteorology and Climatology. 57(5). 1155–1170. 18 indexed citations
20.
Schemann, Vera. (2013). Towards a scale aware cloud process parameterization for global climate models. Max Planck Digital Library. 2 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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