Stefan Lehmann

23 papers receiving 334 citations

Peers

Stefan Lehmann
Comparison fields: 5 of 58
  • Atmospheric Science 205
  • Health, Toxicology and Mutagenesis 89
  • Process Chemistry and Technology 19
  • Global and Planetary Change 107
  • Environmental Engineering 58
Replace Rodrigo Romero with:
Rodrigo Romero Italy
Walter Debruyn Belgium
Yinbo Huang China
R. Kolyer United States
Detlev Sprung Germany
Johannes Lampel Germany
Antoine Lacan Germany
Nofel Lagrosas Japan
M. V. S. N. Prasad India
Bright Dornblaser United States
Stefan Lehmann relative to Rodrigo Romero Italy Rodrigo Romero's profile →
Citations per field
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Rodrigo Romero · 1×
Citations per year

Countries citing papers authored by Stefan Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 201056
3 200943
4 199941
5 199525
6 201612
7 200611
8 19979
9 20116
10 19814
11 20024
12
Ein Heterodyn-DIAL System für die simultane Messung von Wasserdampf und Vertikalwind - Aufbau und Erprobung
20024
13 20153
14 20163
15 20163
16 20052
17 20102
18 20162
19 20061
20 20051

About Stefan Lehmann

Stefan Lehmann is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Atmospheric Science and Global and Planetary Change, having authored 25 papers that have together received 352 indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (4 papers), Atmospheric chemistry and aerosols (4 papers), Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers), Optical measurement and interference techniques (3 papers), Atmospheric Ozone and Climate (3 papers), Advanced Software Engineering Methodologies (3 papers) and Laser Design and Applications (3 papers). The work is most often cited by research in Atmospheric Science (205 citations), Health, Toxicology and Mutagenesis (89 citations), Process Chemistry and Technology (19 citations), Global and Planetary Change (107 citations) and Environmental Engineering (58 citations). Stefan Lehmann has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Hartmut Herrmann, T. Gnauk, Dominik van Pinxteren, Conny Müller, Jens Bösenberg, Johannes Karstensen, Yoshiteru Iinuma, N. Niedermeier, K. Müller and Alfred Wiedensohler. Their work appears in journals such as Atmospheric chemistry and physics, International Journal of Aviation Psychology, Optics Letters, Journal of Animal Physiology and Animal Nutrition and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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