Cornelia Gläßer

817 total citations
30 papers, 353 citations indexed

About

Cornelia Gläßer is a scholar working on Environmental Engineering, Ecology and Artificial Intelligence. According to data from OpenAlex, Cornelia Gläßer has authored 30 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 11 papers in Ecology and 10 papers in Artificial Intelligence. Recurrent topics in Cornelia Gläßer's work include Remote Sensing in Agriculture (11 papers), Geochemistry and Geologic Mapping (9 papers) and Soil Geostatistics and Mapping (9 papers). Cornelia Gläßer is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Geochemistry and Geologic Mapping (9 papers) and Soil Geostatistics and Mapping (9 papers). Cornelia Gläßer collaborates with scholars based in Germany, United Kingdom and Australia. Cornelia Gläßer's co-authors include Markus Möller, András Jung, Frank Riedel, Ingo Müller, Peter Reinartz, Daniel Doktor, Gregor Borg, Florian Beyer, Ines Merbach and Sebastian Scheuer and has published in prestigious journals such as Environmental Pollution, Geoderma and International Journal of Remote Sensing.

In The Last Decade

Cornelia Gläßer

29 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelia Gläßer Germany 12 133 133 119 86 84 30 353
Nisha Bao China 13 144 1.1× 121 0.9× 171 1.4× 59 0.7× 74 0.9× 26 373
Yong Sung Kwon South Korea 11 128 1.0× 104 0.8× 175 1.5× 80 0.9× 52 0.6× 19 608
Cindy Ong Australia 12 112 0.8× 265 2.0× 232 1.9× 128 1.5× 65 0.8× 42 480
Yizhi Huang United States 6 139 1.0× 84 0.6× 149 1.3× 62 0.7× 47 0.6× 9 299
L. E. Vicente Brazil 13 153 1.2× 251 1.9× 305 2.6× 90 1.0× 52 0.6× 40 514
Karine Adeline France 10 275 2.1× 120 0.9× 302 2.5× 106 1.2× 167 2.0× 30 555
Nimrod Carmon United States 14 131 1.0× 112 0.8× 135 1.1× 66 0.8× 126 1.5× 24 397
Qu Zhou United States 11 199 1.5× 87 0.7× 176 1.5× 70 0.8× 103 1.2× 23 525
Weibo Ma China 6 76 0.6× 165 1.2× 179 1.5× 91 1.1× 22 0.3× 11 344

Countries citing papers authored by Cornelia Gläßer

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Gläßer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Gläßer

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Gläßer. A scholar is included among the top collaborators of Cornelia Gläßer 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 Cornelia Gläßer. Cornelia Gläßer 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.
Lausch, Angela, Lutz Bannehr, Stella A. Berger, et al.. (2024). Monitoring Water Diversity and Water Quality with Remote Sensing and Traits. Remote Sensing. 16(13). 2425–2425. 12 indexed citations
2.
Tepanosyan, Garegin, Vahagn Muradyan, Gevorg Tepanosyan, et al.. (2023). Exploring relationship of soil PTE geochemical and “VIS-NIR spectroscopy” patterns near Cu–Mo mine (Armenia). Environmental Pollution. 323. 121180–121180. 6 indexed citations
3.
Gläßer, Cornelia, et al.. (2018). Detection of Phenology-Defined Data Acquisition Time Frames For Crop Type Mapping. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 86(1). 15–27. 3 indexed citations
4.
Riedel, Frank, et al.. (2017). Interlaboratory Comparison of Spectrometric Laboratory Measurements of a Chlorite Rock Sample. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 85(5). 307–316. 4 indexed citations
5.
6.
Gläßer, Cornelia, et al.. (2016). Spectral characterization of black materials for use as background in spectrometric laboratories. Spectroscopy Letters. 49(7). 498–505. 7 indexed citations
7.
Möller, Markus, et al.. (2016). Optimization of spectral indices and long-term separability analysis for classification of cereal crops using multi-spectral RapidEye imagery. International Journal of Applied Earth Observation and Geoinformation. 52. 115–125. 36 indexed citations
8.
Gläßer, Cornelia, et al.. (2015). Mapping of iron and steelwork by-products using close range hyperspectral imaging: A case study in Thuringia, Germany. European Journal of Remote Sensing. 48(1). 489–509. 16 indexed citations
9.
Möller, Markus, et al.. (2013). A framework for the geometric accuracy assessment of classified objects. International Journal of Remote Sensing. 34(24). 8685–8698. 25 indexed citations
10.
Paasche, Hendrik, Sonali Das, Antony K Cooper, et al.. (2013). Are Earth Sciences lagging behind in data integration methodologies?. Environmental Earth Sciences. 71(4). 1997–2003. 3 indexed citations
11.
Jung, András, Christian Götze, & Cornelia Gläßer. (2012). Overview of Experimental Setups in Spectroscopic Laboratory Measurements – the SpecTour Project. Photogrammetrie - Fernerkundung - Geoinformation. 2012(4). 433–442. 3 indexed citations
12.
Jung, András, et al.. (2012). Overview of Experimental Setups in Spectroscopic Laboratory Measurements – the SpecTour Project. Photogrammetrie - Fernerkundung - Geoinformation. 2012(4). 433–442. 9 indexed citations
13.
Böttcher, Kristin, Cornelia Gläßer, & Sacha J. Mooney. (2011). Examining the relationship between soil structure and soil reflectance using soil pore structure characteristics obtained from image analysis. Remote Sensing Letters. 3(7). 557–565. 6 indexed citations
14.
Gläßer, Cornelia, et al.. (2011). Monitoring of hydrochemical parameters of lignite mining lakes in Central Germany using airborne hyperspectral casi-scanner data. International Journal of Coal Geology. 86(1). 40–53. 17 indexed citations
16.
Gläßer, Cornelia, et al.. (2009). The development of an integrated technical–methodical approach to visualise hydrological processes in an exemplary post-mining area in Central Germany. ISPRS Journal of Photogrammetry and Remote Sensing. 65(3). 275–281. 14 indexed citations
17.
Tümpling, Wolf von, Michael Rode, Olaf Büttner, et al.. (2006). Entwicklung eines Schadstoffausbreitungsmodells zur stoffbezogenen Risikoanalyse und-bewertung extremer Hochwasserereignisse am Beispiel des Landkreises und der Stadt Bitterfeld. Umweltwissenschaften und Schadstoff-Forschung. 18(2). 129–131.
18.
Gläßer, Cornelia & Peter Reinartz. (2005). Multitemporal and Multispectral Remote Sensing Approach for Flood Detection in the Elbe‐Mulde Region 2002. Acta hydrochimica et hydrobiologica. 33(5). 395–403. 17 indexed citations
19.
Haase, Dagmar, Martin Völk, Cornelia Gläßer, et al.. (2003). Flächenhafte Erfassung der Hochwassergebiete mittels Fernerkundungsdaten. elib (German Aerospace Center). 2 indexed citations
20.
Gläßer, Cornelia, et al.. (2000). OPTICAL PROPERTIES OF OPEN CAST LIGNITE MINING LAKES IN CENTRAL GERMANY. 2 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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