F. Olesen

2.3k total citations
33 papers, 1.7k citations indexed

About

F. Olesen is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, F. Olesen has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 18 papers in Atmospheric Science and 9 papers in Global and Planetary Change. Recurrent topics in F. Olesen's work include Urban Heat Island Mitigation (23 papers), Remote Sensing and Land Use (8 papers) and Climate change and permafrost (7 papers). F. Olesen is often cited by papers focused on Urban Heat Island Mitigation (23 papers), Remote Sensing and Land Use (8 papers) and Climate change and permafrost (7 papers). F. Olesen collaborates with scholars based in Germany, United States and Switzerland. F. Olesen's co-authors include Frank-M. Göttsche, H. Fischer, Prasanjit Dash, Isabel F. Trigo, Frank Göttsche, Carlos C. DaCamara, Glynn Hulley, Sofia L. Ermida, Pierre Guillevic and Fred Prata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

F. Olesen

29 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Olesen Germany	15	1.3k	964	806	269	251	33	1.7k
Raquel Niclòs Spain	23	1.0k 0.8×	748 0.8×	586 0.7×	217 0.8×	220 0.9×	77	1.5k
Frank-M. Göttsche Germany	22	1.8k 1.4×	1.3k 1.4×	839 1.0×	353 1.3×	254 1.0×	43	2.1k
Joan M. Galve Spain	17	983 0.8×	700 0.7×	471 0.6×	212 0.8×	177 0.7×	29	1.3k
Zhao‐Liang Li China	17	1.1k 0.8×	716 0.7×	785 1.0×	163 0.6×	255 1.0×	38	1.6k
Darren Ghent United Kingdom	21	866 0.7×	769 0.8×	732 0.9×	140 0.5×	193 0.8×	53	1.4k
G. Sòria Spain	16	1.6k 1.2×	896 0.9×	1.0k 1.3×	234 0.9×	356 1.4×	40	2.0k
M. Romaguera Spain	11	889 0.7×	471 0.5×	555 0.7×	138 0.5×	166 0.7×	18	1.2k
Sofia L. Ermida Portugal	17	885 0.7×	630 0.7×	636 0.8×	151 0.6×	211 0.8×	34	1.3k
Kebiao Mao China	26	1.1k 0.9×	1.1k 1.1×	1.1k 1.4×	87 0.3×	280 1.1×	82	2.1k
D. R. Streutker United States	8	1.2k 0.9×	550 0.6×	722 0.9×	103 0.4×	325 1.3×	9	1.6k

Countries citing papers authored by F. Olesen

Since Specialization

Citations

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

Fields of papers citing papers by F. Olesen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Olesen

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

All Works

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20 of 20 papers shown

Bento, Virgílio A., Frank Göttsche, Reto Stöckli, et al.. (2015). Meteosat Land Surface Temperature Climate Data Record: Achievable Accuracy and Potential Uncertainties. Remote Sensing. 7(10). 13139–13156. 91 indexed citations

Ermida, Sofia L., Isabel F. Trigo, Carlos C. DaCamara, et al.. (2014). Validation of remotely sensed surface temperature over an oak woodland landscape — The problem of viewing and illumination geometries. Remote Sensing of Environment. 148. 16–27. 113 indexed citations

Merchant, Christopher J., Nick A Rayner, J. J. Remedios, et al.. (2013). The surface temperatures of the earth: steps towards integrated understanding of variability and change. 6 indexed citations

Merchant, Christopher J., Nick A Rayner, J. J. Remedios, et al.. (2013). The surface temperatures of Earth: steps towards integrated understanding of variability and change. SHILAP Revista de lepidopterología. 2(2). 305–321. 28 indexed citations

Guillevic, Pierre, Frank Göttsche, Glynn Hulley, et al.. (2013). Directional Viewing Effects on Satellite Land Surface Temperature Products Over Sparse Vegetation Canopies—A Multisensor Analysis. IEEE Geoscience and Remote Sensing Letters. 10(6). 1464–1468. 80 indexed citations

Göttsche, Frank, et al.. (2013). Validation of land surface temperature products with 5 years of permanent in-situ measurements in 4 different climate regions. 5 indexed citations

Göttsche, Frank-M., et al.. (2010). Field measurements and modelling of diurnal cycles of land surface temperature at Gobabeb, Namibia. 1 indexed citations

Göttsche, Frank-M. & F. Olesen. (2009). A simple physically based model of diurnal cycles of land surface temperature. 2 indexed citations

Olesen, F., et al.. (2008). Initial results of the land surface temperature (LST) validation with the Evora, Portugal ground‐truth station measurements. International Journal of Remote Sensing. 29(17-18). 5329–5345. 32 indexed citations

10.

Trigo, Isabel F., et al.. (2008). An assessment of remotely sensed land surface temperature. Journal of Geophysical Research Atmospheres. 113(D17). 233 indexed citations

11.

Romaguera, M., José A. Sobrino, & F. Olesen. (2006). Estimation of sea surface temperature from SEVIRI data: algorithm testing and comparison with AVHRR products. International Journal of Remote Sensing. 27(22). 5081–5086. 19 indexed citations

12.

Trigo, Isabel F., et al.. (2005). Intercalibration of NOAA and Meteosat window channel brightness temperatures. International Journal of Remote Sensing. 26(17). 3717–3733. 14 indexed citations

13.

Trigo, Isabel F., et al.. (2005). Validation Of Land Surface Temperature Retrieved From Meteosat Second Generation Satellites. 1 indexed citations

14.

Göttsche, Frank-M. & F. Olesen. (2002). Evolution of neural networks for radiative transfer calculations in the terrestrial infrared. Remote Sensing of Environment. 80(1). 157–164. 14 indexed citations

15.

Göttsche, Frank-M. & F. Olesen. (2002). Atmospheric correction of IR satellite data using neural networks. 1 indexed citations

16.

Dash, Prasanjit, Frank-M. Göttsche, & F. Olesen. (2002). Potential of MSG for surface temperature and emissivity estimation: Considerations for real-time applications. International Journal of Remote Sensing. 23(20). 4511–4518. 19 indexed citations

17.

Veihelmann, Ben, F. Olesen, & Christoph Kottmeier. (2001). Sea ice surface temperature in the Weddell Sea (Antarctica), from drifting buoy and AVHRR data. Cold Regions Science and Technology. 33(1). 19–27. 6 indexed citations

18.

Vollmer, Martin K., Frank-M. Göttsche, & F. Olesen. (2000). Correction of the atmospheric influence on IR measurements by satellite with neural networks. 1 indexed citations

19.

Olesen, F., et al.. (1995). High resolution time series of IR data from a combination of AVHRR and METEOSAT. Advances in Space Research. 16(10). 141–146. 1 indexed citations

20.

Olesen, F., et al.. (1994). Distribution of the brightness temperature of land surfaces determined from AVHRR data. International Journal of Remote Sensing. 15(1). 95–104. 20 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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