Cornelia Schlundt

715 total citations
7 papers, 320 citations indexed

About

Cornelia Schlundt is a scholar working on Atmospheric Science, Global and Planetary Change and Infectious Diseases. According to data from OpenAlex, Cornelia Schlundt has authored 7 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 0 papers in Infectious Diseases. Recurrent topics in Cornelia Schlundt's work include Atmospheric aerosols and clouds (7 papers), Atmospheric chemistry and aerosols (5 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Cornelia Schlundt is often cited by papers focused on Atmospheric aerosols and clouds (7 papers), Atmospheric chemistry and aerosols (5 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Cornelia Schlundt collaborates with scholars based in Germany, Netherlands and Sweden. Cornelia Schlundt's co-authors include Martin Stengel, Jan Fokke Meirink, Rainer Hollmann, Kati Anttila, Steffen Kothe, Stephan Finkensieper, Joseph Sedlar, Nikos Benas, Nina Håkansson and Karl‐Göran Karlsson and has published in prestigious journals such as Atmospheric chemistry and physics, IEEE Geoscience and Remote Sensing Letters and Atmospheric measurement techniques.

In The Last Decade

Cornelia Schlundt

7 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelia Schlundt Germany 6 268 248 45 18 15 7 320
Timo Hanschmann Germany 3 232 0.9× 197 0.8× 56 1.2× 10 0.6× 16 1.1× 4 272
Stephan Finkensieper Germany 5 306 1.1× 263 1.1× 68 1.5× 16 0.9× 18 1.2× 9 357
Diana Stein Sweden 3 180 0.7× 159 0.6× 48 1.1× 11 0.6× 11 0.7× 3 219
Emmihenna Jääskeläinen Finland 9 225 0.8× 229 0.9× 51 1.1× 43 2.4× 40 2.7× 20 317
Patrick Raberanto France 9 319 1.2× 308 1.2× 38 0.8× 13 0.7× 6 0.4× 15 357
Yingtao Ma United States 7 153 0.6× 134 0.5× 32 0.7× 35 1.9× 10 0.7× 13 198
Xianwen Jing China 12 423 1.6× 419 1.7× 31 0.7× 10 0.6× 9 0.6× 25 461
Sebastian Bley Germany 8 128 0.5× 102 0.4× 34 0.8× 11 0.6× 10 0.7× 14 158
Anja Hünerbein Germany 12 412 1.5× 422 1.7× 25 0.6× 18 1.0× 13 0.9× 29 471
B. Schallhart Austria 9 188 0.7× 214 0.9× 23 0.5× 19 1.1× 12 0.8× 12 252

Countries citing papers authored by Cornelia Schlundt

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Schlundt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Schlundt

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

All Works

7 of 7 papers shown
1.
Stengel, Martin, Cornelia Schlundt, Stefan Stapelberg, et al.. (2018). Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator. Atmospheric chemistry and physics. 18(23). 17601–17614. 33 indexed citations
2.
Sus, Oliver, Martin Stengel, Stefan Stapelberg, et al.. (2018). The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors. Atmospheric measurement techniques. 11(6). 3373–3396. 29 indexed citations
3.
McGarragh, Gregory, Caroline Poulsen, G. E. Thomas, et al.. (2018). The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach. Atmospheric measurement techniques. 11(6). 3397–3431. 30 indexed citations
4.
Karlsson, Karl‐Göran, Kati Anttila, Jörg Trentmann, et al.. (2017). CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data. Atmospheric chemistry and physics. 17(9). 5809–5828. 193 indexed citations
5.
Schlundt, Cornelia, Alexander Kokhanovsky, В. В. Розанов, & John P. Burrows. (2013). Determination of Cloud Optical Thickness Over Snow Using Satellite Measurements in the Oxygen A-Band. IEEE Geoscience and Remote Sensing Letters. 10(5). 1162–1166. 5 indexed citations
6.
Schlundt, Cornelia, Alexander Kokhanovsky, W. von Hoyningen‐Huene, et al.. (2011). Synergetic cloud fraction determination for SCIAMACHY using MERIS. Atmospheric measurement techniques. 4(2). 319–337. 20 indexed citations
7.
Krijger, J. M., Paul Tol, Larysa Istomina, et al.. (2011). Improved identification of clouds and ice/snow covered surfaces in SCIAMACHY observations. Atmospheric measurement techniques. 4(10). 2213–2224. 10 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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