Detlef Müller

16.6k total citations
211 papers, 9.8k citations indexed

About

Detlef Müller is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Detlef Müller has authored 211 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Global and Planetary Change, 170 papers in Atmospheric Science and 28 papers in Earth-Surface Processes. Recurrent topics in Detlef Müller's work include Atmospheric aerosols and clouds (181 papers), Atmospheric chemistry and aerosols (162 papers) and Atmospheric and Environmental Gas Dynamics (86 papers). Detlef Müller is often cited by papers focused on Atmospheric aerosols and clouds (181 papers), Atmospheric chemistry and aerosols (162 papers) and Atmospheric and Environmental Gas Dynamics (86 papers). Detlef Müller collaborates with scholars based in Germany, South Korea and United States. Detlef Müller's co-authors include Albert Ansmann, Dietrich Althausen, Ulla Wandinger, Matthias Tesche, Ina Mattis, Volker Freudenthaler, Alexei Kolgotin, Ronny Engelmann, Frank Wagner and Birgit Heese and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Detlef Müller

207 papers receiving 9.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Detlef Müller Germany 59 8.9k 8.6k 919 450 307 211 9.8k
Ola Persson United States 45 3.9k 0.4× 5.1k 0.6× 271 0.3× 74 0.2× 52 0.2× 148 6.4k
Martin Wirth Germany 33 3.4k 0.4× 3.3k 0.4× 258 0.3× 114 0.3× 750 2.4× 156 4.6k
Olga Muñoz Spain 29 2.7k 0.3× 2.4k 0.3× 471 0.5× 101 0.2× 56 0.2× 91 3.6k
H. Volten Netherlands 30 2.6k 0.3× 2.4k 0.3× 379 0.4× 196 0.4× 53 0.2× 55 3.6k
William E. Asher United States 32 978 0.1× 2.0k 0.2× 453 0.5× 812 1.8× 123 0.4× 91 4.0k
Andreas Fix Germany 31 2.6k 0.3× 2.5k 0.3× 155 0.2× 109 0.2× 844 2.7× 143 3.8k
E. K. Bigg Australia 37 2.8k 0.3× 3.6k 0.4× 171 0.2× 565 1.3× 23 0.1× 124 4.5k
Peter Pilewskie United States 33 3.0k 0.3× 3.3k 0.4× 158 0.2× 338 0.8× 46 0.1× 152 4.0k
Thomas Müller Germany 40 1.5k 0.2× 2.5k 0.3× 74 0.1× 1.4k 3.2× 521 1.7× 203 5.4k
Thomas F. Mentel Germany 47 2.7k 0.3× 6.5k 0.8× 82 0.1× 3.6k 8.0× 473 1.5× 122 7.2k

Countries citing papers authored by Detlef Müller

Since Specialization
Citations

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

Fields of papers citing papers by Detlef Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Detlef Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Detlef Müller. A scholar is included among the top collaborators of Detlef Müller 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 Detlef Müller. Detlef Müller 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.
Yin, Zhenping, Jiajia Zhang, Yubao Chen, et al.. (2025). Ka-Band Cloud Radar Meteorological Echo Dataset With Complex Weather Coverage: Baseline Models for Deep Learning Applications. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 1 indexed citations
2.
Yin, Zhenping, et al.. (2024). Measurements of particle extinction coefficients at 1064 nm with lidar: temperature dependence of rotational Raman channels. Optics Express. 32(3). 4650–4650. 5 indexed citations
3.
Mao, Song, Zhenping Yin, Longlong Wang, et al.. (2024). Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool. Remote Sensing. 16(1). 207–207. 3 indexed citations
4.
Yin, Zhenping, Yubao Chen, Siwei Li, et al.. (2024). Robust Lidar-Radar Composite Cloud Boundary Detection Method With Rainfall Pixels Removal. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 2 indexed citations
5.
Ma, Yingying, Zhenping Yin, Qiaoyun Hu, et al.. (2024). A Modified Look-Up Table Based Algorithm with a Self-Posed Scheme for Fine-Mode Aerosol Microphysical Properties Inversion by Multi-Wavelength Lidar. Remote Sensing. 16(13). 2265–2265. 3 indexed citations
6.
Wang, Longlong, Zhenping Yin, Song Mao, et al.. (2023). Quality assessment of aerosol lidars at 1064 nm in the framework of the MEMO campaign. Atmospheric measurement techniques. 16(18). 4307–4318. 4 indexed citations
7.
Yin, Zhenping, Longlong Wang, Yang Yi, et al.. (2023). Improved algorithm for retrieving aerosol optical properties based on multi-wavelength Raman lidar. Optics Express. 31(19). 30040–30040. 1 indexed citations
8.
9.
Wang, Longlong, S. Stanič, Klemen Bergant, et al.. (2022). Investigation of Aerosol Types and Vertical Distributions Using Polarization Raman Lidar over Vipava Valley. Remote Sensing. 14(14). 3482–3482. 8 indexed citations
10.
11.
Tesche, Matthias, Ulla Wandinger, Albert Ansmann, et al.. (2013). Ground‐based validation of CALIPSO observations of dust and smoke in the Cape Verde region. Journal of Geophysical Research Atmospheres. 118(7). 2889–2902. 59 indexed citations
12.
Mattis, Ina, Patric Seifert, Detlef Müller, et al.. (2010). Volcanic aerosol layers observed with multi-wavelength Raman lidar over Europe since summer 2008. EGU General Assembly Conference Abstracts. 9760. 2 indexed citations
13.
Tegen, Ina, et al.. (2010). Model initialization and validation with ground- and space-based lidar measurements and sun photometer measurements. EGUGA. 9733.
14.
Müller, Detlef, et al.. (2010). 다파장 라만 라이다를 이용한 발생지에 따른 안면도 지역 에어러솔의 광학적 및 미세물리적 특성. 26(5). 554–566. 2 indexed citations
15.
Petzold, Andreas, Bernadett Weinzierl, Markus Fiebig, et al.. (2006). Saharan Mineral Dust Experiment SAMUM 2006: Airborne observations of dust particle properties and vertical dust profiles. AGUFM. 2006. 1 indexed citations
16.
Wendisch, Manfred, Detlef Müller, Ina Mattis, & Albert Ansmann. (2006). Potential of lidar backscatter data to estimate solar aerosol radiative forcing. Applied Optics. 45(4). 770–770. 4 indexed citations
17.
Wandinger, Ulla, et al.. (2004). Turbulent Aerosol Fluxes Determined from Combined Observations with Doppler Wind and Raman Aerosol LIDAR. ESASP. 561. 743. 5 indexed citations
18.
Veselovskii, Igor, Alexei Kolgotin, Vadim Griaznov, et al.. (2004). Inversion of multiwavelength Raman lidar data for retrieval of bimodal aerosol size distribution. Applied Optics. 43(5). 1180–1180. 136 indexed citations
19.
Müller, Detlef, Frank Wagner, Ulla Wandinger, et al.. (2000). Microphysical particle parameters from extinction and backscatter lidar data by inversion with regularization: experiment. Applied Optics. 39(12). 1879–1879. 57 indexed citations
20.
Müller, Detlef, Ulla Wandinger, & Albert Ansmann. (1999). Microphysical particle parameters from extinction and backscatter lidar data by inversion with regularization: theory. Applied Optics. 38(12). 2346–2346. 329 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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