Uwe Knauer

855 total citations · 1 hit paper
14 papers, 655 citations indexed

About

Uwe Knauer is a scholar working on Media Technology, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Uwe Knauer has authored 14 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Media Technology, 4 papers in Analytical Chemistry and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Uwe Knauer's work include Remote-Sensing Image Classification (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Remote Sensing in Agriculture (3 papers). Uwe Knauer is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Remote Sensing in Agriculture (3 papers). Uwe Knauer collaborates with scholars based in Germany and Australia. Uwe Knauer's co-authors include Ralf Reulke, Udo Seiffert, Andrea Matros, Tijana Petrović, Eileen S. Scott, Andreas Maurer, Klaus Pillen, Andreas Backhaus, W. Jarausch and Beate Meffert and has published in prestigious journals such as Sensors, Remote Sensing and Neural Computing and Applications.

In The Last Decade

Uwe Knauer

13 papers receiving 614 citations

Hit Papers

Remote Sensing and Spatial Information Sciences 2005 2026 2012 2019 2005 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uwe Knauer Germany 6 240 175 166 87 87 14 655
Bikram Pratap Banerjee Australia 16 191 0.8× 201 1.1× 169 1.0× 95 1.1× 209 2.4× 41 733
Frank Boochs Germany 10 196 0.8× 266 1.5× 176 1.1× 98 1.1× 137 1.6× 31 714
Enoc Sanz‐Ablanedo Spain 15 463 1.9× 198 1.1× 356 2.1× 51 0.6× 99 1.1× 32 865
Michael J. Starek United States 19 389 1.6× 411 2.3× 132 0.8× 122 1.4× 221 2.5× 73 925
Haitao Xiang China 9 244 1.0× 280 1.6× 74 0.4× 87 1.0× 218 2.5× 23 678
Anna Brook Israel 16 225 0.9× 264 1.5× 56 0.3× 72 0.8× 145 1.7× 68 845
Austin M. Jensen United States 15 322 1.3× 219 1.3× 77 0.5× 92 1.1× 113 1.3× 46 866
Kirsi Karila Finland 16 529 2.2× 340 1.9× 143 0.9× 73 0.8× 45 0.5× 32 839
Yonglin Shen China 17 294 1.2× 369 2.1× 115 0.7× 69 0.8× 372 4.3× 51 1.0k
Farzaneh Dadrass Javan Iran 16 249 1.0× 187 1.1× 108 0.7× 261 3.0× 95 1.1× 58 914

Countries citing papers authored by Uwe Knauer

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Knauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Knauer

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

All Works

14 of 14 papers shown
1.
Knauer, Uwe, et al.. (2024). Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques. Sensors. 24(23). 7774–7774. 2 indexed citations
3.
Jarausch, W., et al.. (2023). Digital phytoplasmology: Remote sensing of fruit tree phytoplasma diseases. Phytopathogenic Mollicutes. 13(1). 135–136. 2 indexed citations
5.
Knauer, Uwe, et al.. (2019). Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote Sensing. 11(23). 2788–2788. 44 indexed citations
7.
Knauer, Uwe & Udo Seiffert. (2014). Fast image segmentation based on boosted random forests, integral images, and features on demand. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 21. 1–6. 2 indexed citations
8.
Knauer, Uwe, Andreas Backhaus, & Udo Seiffert. (2014). Fusion trees for fast and accurate classification of hyperspectral data with ensembles of $$\gamma$$ γ -divergence-based RBF networks. Neural Computing and Applications. 26(2). 253–262. 5 indexed citations
9.
Knauer, Uwe & Udo Seiffert. (2013). A comparison of late fusion methods for object detection. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3297–3301. 2 indexed citations
10.
Knauer, Uwe & Beate Meffert. (2009). Evaluation based combining of classifiers for monitoring honeybees. 17. 1–6. 1 indexed citations
11.
Reulke, Ralf, et al.. (2006). Combinatorial Image Analysis. Lecture notes in computer science. 1 indexed citations
12.
Knauer, Uwe, et al.. (2005). Monitoring traffic by optical sensors. elib (German Aerospace Center). 20(2). 99–102. 8 indexed citations
13.
Reulke, Ralf & Uwe Knauer. (2005). Remote Sensing and Spatial Information Sciences. elib (German Aerospace Center). 482 indexed citations breakdown →
14.
Knauer, Uwe, et al.. (1996). First International Tainan-Moscow Algebra Workshop. 11 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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