Christoph S. Garbe

1.8k total citations
60 papers, 825 citations indexed

About

Christoph S. Garbe is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Christoph S. Garbe has authored 60 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Atmospheric Science and 10 papers in Global and Planetary Change. Recurrent topics in Christoph S. Garbe's work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (8 papers) and Ocean Waves and Remote Sensing (7 papers). Christoph S. Garbe is often cited by papers focused on Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (8 papers) and Ocean Waves and Remote Sensing (7 papers). Christoph S. Garbe collaborates with scholars based in Germany, United States and Canada. Christoph S. Garbe's co-authors include Bernd Jähne, Jörg Langowski, Thorsten Wohland, Anand Pratap Singh, Jan Krieger, Robert Strzodka, Timothy E. Saunders, Nirmalya Bag, Oliver Friedrich and Sebastian Schürmann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Nature Protocols and Biophysical Journal.

In The Last Decade

Christoph S. Garbe

50 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph S. Garbe Germany 18 197 154 147 117 115 60 825
Rong Shu China 20 92 0.5× 47 0.3× 172 1.2× 80 0.7× 37 0.3× 175 1.6k
N. Sarkar India 7 122 0.6× 82 0.5× 92 0.6× 99 0.8× 21 0.2× 7 1.5k
Jerry E. Solomon United States 9 89 0.5× 104 0.7× 299 2.0× 321 2.7× 27 0.2× 18 1.8k
Jianping Li China 21 200 1.0× 67 0.4× 287 2.0× 64 0.5× 28 0.2× 96 1.7k
Stefan Huber Austria 15 47 0.2× 66 0.4× 64 0.4× 46 0.4× 15 0.1× 54 792
Christiaan Perneel Belgium 15 86 0.4× 23 0.1× 85 0.6× 257 2.2× 21 0.2× 61 1.0k
Changjiang Zhang China 14 48 0.2× 30 0.2× 53 0.4× 193 1.6× 68 0.6× 130 724
Yingjian Wang China 25 89 0.5× 42 0.3× 346 2.4× 446 3.8× 60 0.5× 207 2.0k
Weiqi Jin China 24 35 0.2× 48 0.3× 279 1.9× 51 0.4× 56 0.5× 352 2.7k
Margarida Silveira Portugal 17 70 0.4× 42 0.3× 152 1.0× 29 0.2× 37 0.3× 58 1.2k

Countries citing papers authored by Christoph S. Garbe

Since Specialization
Citations

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

Fields of papers citing papers by Christoph S. Garbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christoph S. Garbe. 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 Christoph S. Garbe. The network helps show where Christoph S. Garbe may publish in the future.

Co-authorship network of co-authors of Christoph S. Garbe

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph S. Garbe. A scholar is included among the top collaborators of Christoph S. Garbe 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 Christoph S. Garbe. Christoph S. Garbe 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.
Tsai, Wu‐ting, et al.. (2021). Characteristics of Streaky Thermal Footprints on Wind Waves. Journal of Geophysical Research Oceans. 126(7). 1 indexed citations
2.
Fuchs, Patrick, et al.. (2019). Generating Meaningful Synthetic Ground Truth for Pore Detection in Cast Aluminum Parts. e-Journal of Nondestructive Testing. 24(3). 8 indexed citations
3.
Garbe, Christoph S., et al.. (2019). Optimization Based Multi-View Coverage Path Planning for Autonomous Structure From Motion Recordings. IEEE Robotics and Automation Letters. 4(4). 3278–3285. 9 indexed citations
4.
Hernández‐Carrasco, Ismael, Véronique Garçon, Joël Sudre, Christoph S. Garbe, & Hussein Yahia. (2018). Increasing the Resolution of Ocean pCO2 Maps in the South Eastern Atlantic Ocean Merging Multifractal Satellite-Derived Ocean Variables. IEEE Transactions on Geoscience and Remote Sensing. 56(11). 6596–6610. 6 indexed citations
5.
Garbe, Christoph S., et al.. (2017). Surface Normal Reconstruction from Specular Information in Light Field Data. 1. 1735–1742. 1 indexed citations
6.
Hernández‐Carrasco, Ismael, Joël Sudre, Véronique Garçon, et al.. (2015). Reconstruction of super-resolution ocean p CO 2 and air–sea fluxes of CO 2 from satellite imagery in the southeastern Atlantic. Biogeosciences. 12(17). 5229–5245. 9 indexed citations
7.
Ueltzhöffer, Kai, Johannes Freitag, Sepp Kipfstuhl, et al.. (2013). High-resolution variations in size, number and arrangement of air bubbles in the EPICA DML (Antarctica) ice core. Journal of Glaciology. 59(217). 972–980. 21 indexed citations
8.
Binder, Tobias, Christoph S. Garbe, Dietmar Wagenbach, Johannes Freitag, & Sepp Kipfstuhl. (2013). Extraction and parametrization of grain boundary networks in glacier ice, using a dedicated method of automatic image analysis. Journal of Microscopy. 250(2). 130–141. 11 indexed citations
9.
Wereley, Steven T., et al.. (2012). A comparison of state-of-the-art image evaluation techniques for analysis of opaque flows. elib (German Aerospace Center). 62(5). 2 indexed citations
10.
Liu, Chenyi, Paul Fieguth, & Christoph S. Garbe. (2012). Background subtraction and dust storm detection. 312. 2179–2181. 2 indexed citations
11.
Garbe, Christoph S., et al.. (2012). Modeling of atmospheric transport of chemical species in the polar regions. 6047–6050. 2 indexed citations
12.
Garbe, Christoph S., et al.. (2011). Automated Multiscale Morphometry of Muscle Disease From Second Harmonic Generation Microscopy Using Tensor-Based Image Processing. IEEE Transactions on Biomedical Engineering. 59(1). 39–44. 22 indexed citations
13.
Ekbal, Asif, Sriparna Saha, & Christoph S. Garbe. (2010). Feature Selection Using Multiobjective Optimization for Named Entity Recognition. 23 indexed citations
14.
15.
Garbe, Christoph S., R. Handler, & Bernd Jähne. (2007). Transport at the air-sea interface : measurements, models and parametrizations. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 17 indexed citations
16.
Garbe, Christoph S., et al.. (2007). Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering. Experiments in Fluids. 44(3). 419–430. 17 indexed citations
17.
Jähne, Bernd, et al.. (2005). Air-Sea Gas Transfer; Schmidt Number Dependency and Intermittency.
18.
Strzodka, Robert & Christoph S. Garbe. (2005). Real-time motion estimation and visualization on graphics cards. 545–552. 47 indexed citations
19.
Garbe, Christoph S., et al.. (2004). Investigation of transport processes across the sea surface microlayer by infrared imagery. Journal of Geophysical Research Atmospheres. 109(C8). 37 indexed citations
20.
Garbe, Christoph S., et al.. (2002). <title>Measuring important parameters for air-sea heat exchange</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4710. 171–182. 1 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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