Martin Stengel

2.6k total citations
64 papers, 1.4k citations indexed

About

Martin Stengel is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Martin Stengel has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Atmospheric Science, 56 papers in Global and Planetary Change and 7 papers in Artificial Intelligence. Recurrent topics in Martin Stengel's work include Atmospheric aerosols and clouds (45 papers), Atmospheric chemistry and aerosols (31 papers) and Climate variability and models (20 papers). Martin Stengel is often cited by papers focused on Atmospheric aerosols and clouds (45 papers), Atmospheric chemistry and aerosols (31 papers) and Climate variability and models (20 papers). Martin Stengel collaborates with scholars based in Germany, Netherlands and Sweden. Martin Stengel's co-authors include Rainer Hollmann, Jan Fokke Meirink, Karl‐Göran Karlsson, Stephan Finkensieper, Nikos Benas, Nils Gustafsson, M. Lockhoff, Jörg Trentmann, Joseph Sedlar and Per Undén and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Journal of Climate.

In The Last Decade

Martin Stengel

63 papers receiving 1.4k citations

Peers

Martin Stengel
Comparison fields: 5 of 50
  • Global and Planetary Change 1.2k
  • Atmospheric Science 1.1k
  • Artificial Intelligence 138
  • Environmental Engineering 79
  • Oceanography 59
Replace G. Wind with:
G. Wind United States
N. T. O’Neill Canada
M. G. Sorokin United States
Abhay Devasthale Sweden
Joel S. Schafer United States
David A. Rutan United States
Catherine M. Naud United States
Tyler J. Thorsen United States
J. Christine Chiu United States
Charles Long United States
G. Wind United States View profile →
Citations per field, relative to Martin Stengel
Martin Stengel · 1×
Citations per year, relative to Martin Stengel
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Countries citing papers authored by Martin Stengel

Since Specialization
Citations

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

Fields of papers citing papers by Martin Stengel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Stengel

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Stengel. A scholar is included among the top collaborators of Martin Stengel 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 Martin Stengel. Martin Stengel 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
# Work Indexed citations
1 0
2 4
3 2
4 23
5 2
6 1
7 16
8 60
9 21
10 12
11 1
12 1
13 1
14 33
15 193
16 6
17 17
18 69
19 32
20
ESA Cloud CCI: Generation of optimal estimation based, multi-sensor cloud property data set from AVHRR heritage measurements.
1

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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