Frank-Michael Göttsche

1.1k total citations
15 papers, 850 citations indexed

About

Frank-Michael Göttsche is a scholar working on Environmental Engineering, Atmospheric Science and Building and Construction. According to data from OpenAlex, Frank-Michael Göttsche has authored 15 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 13 papers in Atmospheric Science and 3 papers in Building and Construction. Recurrent topics in Frank-Michael Göttsche's work include Urban Heat Island Mitigation (15 papers), Climate change and permafrost (8 papers) and Remote Sensing and Land Use (7 papers). Frank-Michael Göttsche is often cited by papers focused on Urban Heat Island Mitigation (15 papers), Climate change and permafrost (8 papers) and Remote Sensing and Land Use (7 papers). Frank-Michael Göttsche collaborates with scholars based in Germany, China and Portugal. Frank-Michael Göttsche's co-authors include Ji Zhou, Liangpei Zhang, Penghai Wu, Huanfeng Shen, Shaomin Liu, Xiaodong Zhang, Wenfeng Zhan, Jin Ma, Ruyin Cao and Mingsong Li and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Frank-Michael Göttsche

15 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank-Michael Göttsche Germany	11	653	548	276	115	104	15	850
Xiaoguang Jiang China	15	285 0.4×	257 0.5×	157 0.6×	41 0.4×	83 0.8×	45	502
Vicente García‐Santos Spain	16	486 0.7×	310 0.6×	303 1.1×	87 0.8×	187 1.8×	26	691
Jinjie Meng China	7	288 0.4×	207 0.4×	140 0.5×	55 0.5×	42 0.4×	9	394
Mingsong Li China	11	332 0.5×	227 0.4×	269 1.0×	33 0.3×	70 0.7×	20	496
Chen Du China	7	322 0.5×	229 0.4×	156 0.6×	62 0.5×	49 0.5×	12	427
J.-P. Lagouarde France	12	663 1.0×	336 0.6×	450 1.6×	183 1.6×	174 1.7×	15	866
Donald E. Sabol United States	6	300 0.5×	181 0.3×	196 0.7×	53 0.5×	205 2.0×	12	555
Monica Cook United States	5	313 0.5×	201 0.4×	193 0.7×	55 0.5×	70 0.7×	11	465

Countries citing papers authored by Frank-Michael Göttsche

Since Specialization

Citations

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

Fields of papers citing papers by Frank-Michael Göttsche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank-Michael Göttsche. 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 Frank-Michael Göttsche. The network helps show where Frank-Michael Göttsche may publish in the future.

Co-authorship network of co-authors of Frank-Michael Göttsche

This figure shows the co-authorship network connecting the top 25 collaborators of Frank-Michael Göttsche. A scholar is included among the top collaborators of Frank-Michael Göttsche 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 Frank-Michael Göttsche. Frank-Michael Göttsche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Ma, Jin, Ji Zhou, Frank-Michael Göttsche, et al.. (2023). An atmospheric influence correction method for longwave radiation-based in-situ land surface temperature. Remote Sensing of Environment. 293. 113611–113611. 24 indexed citations

Göttsche, Frank-Michael, et al.. (2023). Mapping Changes in Fractional Vegetation Cover on the Namib Gravel Plains with Satellite-Retrieved Land Surface Emissivity Data. Remote Sensing. 16(1). 159–159. 3 indexed citations

Zhou, Ji, et al.. (2023). Investigation and validation of two all-weather land surface temperature products with in-situ measurements. Geo-spatial Information Science. 27(3). 670–682. 9 indexed citations

Ermida, Sofia L., et al.. (2023). Impact of High Concentrations of Saharan Dust Aerosols on Infrared-Based Land Surface Temperature Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 4064–4079. 2 indexed citations

Niclòs, Raquel, et al.. (2022). Retrieval of Land Surface Emissivities Over Partially Vegetated Surfaces From Satellite Data Using Radiative Transfer Models. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–21. 10 indexed citations

Ma, Jin, Ji Zhou, Shaomin Liu, et al.. (2021). Continuous evaluation of the spatial representativeness of land surface temperature validation sites. Remote Sensing of Environment. 265. 112669–112669. 35 indexed citations

Ma, Jin, Ji Zhou, Frank-Michael Göttsche, et al.. (2020). A global long-term (1981–2000) land surface temperature product for NOAA AVHRR. Earth system science data. 12(4). 3247–3268. 47 indexed citations

Yang, Jiajia, et al.. (2020). Investigation and validation of algorithms for estimating land surface temperature from Sentinel-3 SLSTR data. International Journal of Applied Earth Observation and Geoinformation. 91. 102136–102136. 71 indexed citations

Martin, M., Darren Ghent, Ana Cordeiro Pires, et al.. (2019). Comprehensive In Situ Validation of Five Satellite Land Surface Temperature Data Sets over Multiple Stations and Years. Remote Sensing. 11(5). 479–479. 77 indexed citations

10.

Zhang, Xiaodong, Ji Zhou, Frank-Michael Göttsche, et al.. (2019). Correction to “A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations” [Feb 19 4670-4691]. IEEE Transactions on Geoscience and Remote Sensing. 57(8). 6254–6254. 5 indexed citations

11.

Zhang, Xiaodong, Ji Zhou, Frank-Michael Göttsche, et al.. (2019). A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4670–4691. 142 indexed citations

12.

Li, Mingsong, Ji Zhou, Shaomin Liu, et al.. (2019). Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature. Agricultural and Forest Meteorology. 276-277. 107600–107600. 23 indexed citations

13.

Zhou, Ji, et al.. (2017). A Thermal Sampling Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land. IEEE Transactions on Geoscience and Remote Sensing. 55(8). 4743–4756. 83 indexed citations

14.

Wu, Penghai, Huanfeng Shen, Liangpei Zhang, & Frank-Michael Göttsche. (2014). Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature. Remote Sensing of Environment. 156. 169–181. 222 indexed citations

15.

Göttsche, Frank-Michael, et al.. (2012). Validation of land surface temperature derived from MSG/SEVIRI with in situ measurements at Gobabeb, Namibia. International Journal of Remote Sensing. 34(9-10). 3069–3083. 97 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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