Anke Kniffka

586 citations
21 papers · 432 · h-index 11

Impact in

    • Atmospheric aerosols and clouds
    • Climate variability and models
    • Meteorological Phenomena and Simulations
    • Atmospheric chemistry and aerosols
    • Atmospheric Ozone and Climate

Papers in

Anke Kniffka

21 papers receiving 425 citations

Peers

Anke Kniffka
Comparison fields: 5 of 34
  • Global and Planetary Change 267
  • Atmospheric Science 154
  • Environmental Engineering 34
  • Artificial Intelligence 37
  • Aerospace Engineering 15
Replace Y. Morille with:
Y. Morille France
Bart J. H. van Stratum Netherlands
Sebastian Bley Germany
Laura Riihimaki United States
John R. Hannan United States
Quentin Rodier France
M. C. R. Kalapureddy India
Xianwen Jing China
Daniel Rieger Germany
Guozheng Zhao United States
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Citations per field
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Citations per year

Countries citing papers authored by Anke Kniffka

Since Specialization
Citations

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

Fields of papers citing papers by Anke Kniffka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anke Kniffka, 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 Anke Kniffka Line = papers co-authored together Anke Kniffka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201466
2 201462
3 201654
4 200549
5 200538
6 201031
7 201923
8 200519
9 201918
10 201414
11 202114
12 201410
13 20098
14 20187
15 20197
16 20206
17 20092
18 20061
19 20111
20
Long-term satellite-based cloud property datasets derived within CM SAF
20121

About Anke Kniffka

Anke Kniffka is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Geophysics and Astronomy and Astrophysics, having authored 21 papers that have together received 432 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (17 papers), Meteorological Phenomena and Simulations (8 papers), Climate variability and models (2 papers), Solar Radiation and Photovoltaics (1 paper), Ionosphere and magnetosphere dynamics (1 paper), Radiative Heat Transfer Studies (1 paper), Wind and Air Flow Studies (1 paper) and Seismic Waves and Analysis (1 paper). The work is most often cited by research in Global and Planetary Change (267 citations), Atmospheric Science (154 citations), Environmental Engineering (34 citations), Artificial Intelligence (37 citations) and Aerospace Engineering (15 citations). Anke Kniffka has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Peter Knippertz, Andreas H. Fink, Martin Stengel, Rainer Hollmann, Maarit Lockhoff, Jan Fokke Meirink, Jackson Tan, Thomas R. Trautmann, Ulrich Löhnert and Dmitry V. Ionov. Their work appears in journals such as Atmospheric measurement techniques, Atmospheric chemistry and physics, Meteorologische Zeitschrift, Tellus A Dynamic Meteorology and Oceanography and Journal of Quantitative Spectroscopy and Radiative Transfer.

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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