Stefan Wunderle

1.5k total citations
60 papers, 1.1k citations indexed

About

Stefan Wunderle is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Stefan Wunderle has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Atmospheric Science, 36 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Stefan Wunderle's work include Cryospheric studies and observations (22 papers), Climate change and permafrost (17 papers) and Atmospheric aerosols and clouds (15 papers). Stefan Wunderle is often cited by papers focused on Cryospheric studies and observations (22 papers), Climate change and permafrost (17 papers) and Atmospheric aerosols and clouds (15 papers). Stefan Wunderle collaborates with scholars based in Switzerland, Italy and United States. Stefan Wunderle's co-authors include David Oesch, Adrian Hauser, Gian-Duri Lieberherr, Tobias Jonas, Fabio Fontana, Fabia Hüsler, Kathrin Naegeli, Nando Foppa, Christian Rixen and C. Popp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Stefan Wunderle

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Wunderle Switzerland 18 697 540 236 208 123 60 1.1k
Guojin Pang China 18 855 1.2× 706 1.3× 228 1.0× 131 0.6× 48 0.4× 26 1.2k
Yuping Yan China 18 1.5k 2.2× 1.5k 2.8× 142 0.6× 181 0.9× 114 0.9× 29 2.0k
Nicolas J. Cullen New Zealand 26 1.9k 2.7× 1.1k 2.0× 155 0.7× 113 0.5× 125 1.0× 73 2.2k
LI Dong-liang China 13 908 1.3× 1.1k 2.0× 143 0.6× 94 0.5× 92 0.7× 88 1.4k
Jennifer Rover United States 16 432 0.6× 537 1.0× 447 1.9× 238 1.1× 214 1.7× 35 1.2k
Changgui Lin China 18 1.8k 2.6× 1.4k 2.6× 131 0.6× 479 2.3× 178 1.4× 28 2.3k
Jorge Molina‐Carpio Bolivia 17 520 0.7× 700 1.3× 179 0.8× 124 0.6× 73 0.6× 34 1.1k
Juan José Gómez‐Navarro Spain 24 1.2k 1.7× 1.1k 2.0× 106 0.4× 118 0.6× 93 0.8× 62 1.5k
Haibo Hu China 19 645 0.9× 928 1.7× 232 1.0× 94 0.5× 379 3.1× 70 1.1k
Ricardo Sánchez‐Murillo Costa Rica 21 446 0.6× 646 1.2× 249 1.1× 287 1.4× 111 0.9× 90 1.4k

Countries citing papers authored by Stefan Wunderle

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Wunderle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Wunderle

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Wunderle. A scholar is included among the top collaborators of Stefan Wunderle 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 Stefan Wunderle. Stefan Wunderle 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.
Wunderle, Stefan, et al.. (2024). Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region. ˜The œcryosphere. 18(12). 6027–6059.
2.
Wunderle, Stefan, et al.. (2024). A 40-Year Time Series of Land Surface Emissivity Derived from AVHRR Sensors: A Fennoscandian Perspective. Remote Sensing. 16(19). 3686–3686. 3 indexed citations
4.
Wu, Xiaodan, Kathrin Naegeli, Carlo Marín, & Stefan Wunderle. (2021). Validation of snow extent time series derived from AVHRR GACdata at Himalaya-Hindukush. 2 indexed citations
5.
Ménégoz, Martin, et al.. (2021). Climate change in the High Mountain Asia in CMIP6. Earth System Dynamics. 12(4). 1061–1098. 76 indexed citations
6.
Wu, Xiaodan, Kathrin Naegeli, & Stefan Wunderle. (2020). Geometric accuracy assessment of coarse-resolution satellite datasets: a study based on AVHRR GAC data at the sub-pixel level. Earth system science data. 12(1). 539–553. 19 indexed citations
8.
Chu, Philip, Jonas Šukys, Gian-Duri Lieberherr, et al.. (2020). Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4. Geoscientific model development. 13(3). 1267–1284. 35 indexed citations
9.
Hüsler, Fabia, et al.. (2020). Towards a webcam-based snow cover monitoring network: methodology and evaluation. ˜The œcryosphere. 14(4). 1409–1423. 17 indexed citations
10.
Chu, Philip, Jonas Šukys, Gian-Duri Lieberherr, et al.. (2019). Data assimilation of in-situ and satellite remote sensing data to 3D hydrodynamic lake models. 4 indexed citations
11.
Wunderle, Stefan, et al.. (2017). Toward a Lake Ice Phenology Derived from VIIRS Data. EGU General Assembly Conference Abstracts. 8907. 3 indexed citations
12.
Hüsler, Fabia, et al.. (2016). Georectification and snow classification of webcam images: potential for complementing satellite-derrived snow maps over Switzerland. EGU General Assembly Conference Abstracts. 2 indexed citations
13.
Musiał, Jan, et al.. (2013). Probabilistic approach to cloud and snow detection on AVHRR imagery. 1 indexed citations
14.
Hüsler, Fabia, Fabio Fontana, Christoph Neuhaus, et al.. (2011). AVHRR Archive and Processing Facility at the University of Bern: A comprehensive 1-km satellite data set for climate change studies. Bern Open Repository and Information System (University of Bern). 15 indexed citations
15.
Riffler, Michael, et al.. (2009). Deriving atmospheric visibility from satellite retrieved aerosol optical depth. EGU General Assembly Conference Abstracts. 10928. 1 indexed citations
16.
Fontana, Fabio, Alexander P. Trishchenko, Konstantin Khlopenkov, Yingjie Luo, & Stefan Wunderle. (2009). Impact of Orthorectification on Maximum NDVI Composite Data. EGUGA. 6984. 1 indexed citations
17.
Popp, C., Michael Riffler, Emanuele Emili, Marcello Petitta, & Stefan Wunderle. (2009). Evaluation of Operationally Derived Aerosol Optical Depth from MSG-SEVIRI over Central Europe. EGUGA. 9362. 4 indexed citations
18.
Popp, C., Michael Riffler, Adrian Hauser, & Stefan Wunderle. (2007). Approximation of aerosol type over land surfaces from MSG-SEVIRI data. Bern Open Repository and Information System (University of Bern). 1 indexed citations
19.
Fontana, Fabio, et al.. (2007). Relationship between AVHRR NDVI Time Series and Single Point Vegetation Measurements from an Automated Climate Station Network in the Swiss Alps. Bern Open Repository and Information System (University of Bern). 1 indexed citations
20.
Hauser, Adrian, David Oesch, & Stefan Wunderle. (2004). NOAA AVHRR derived Aerosol Optical Depth (AOD) over Land: A comparison with AERONET Data. Optica Pura y Aplicada. 37(3). 3131–3135.

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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