Georg Kuschk

465 citations
18 papers · 337 indexed · h-index 10
Topics
Advanced Vision and Imaging (11 papers)Remote Sensing and LiDAR Applications (7 papers)Robotics and Sensor-Based Localization (6 papers)
Partner nations
Germany

In The Last Decade

Georg Kuschk

17 papers receiving 323 citations

Peers

Georg Kuschk
Comparison fields: 5 of 36
  • Computer Vision and Pattern Recognition 191
  • Aerospace Engineering 172
  • Ocean Engineering 87
  • Environmental Engineering 80
  • Automotive Engineering 42
Replace Balázs Nagy with:
Balázs Nagy Hungary
Regis Hoffman United States
Paul Murcutt United Kingdom
Visesh Chari India
Oliver Wasenmüller Germany
Émilie Wirbel France
Werner Ritter Germany
Julien Rebut France
Jeff Bach Canada
Sixing Hu Singapore
Georg Kuschk relative to Balázs Nagy Hungary Balázs Nagy's profile →
Citations per field
00.5×
Balázs Nagy · 1×
Citations per year

Countries citing papers authored by Georg Kuschk

Since Specialization
Citations

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

Fields of papers citing papers by Georg Kuschk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Kuschk

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 44
3 9
4
Automotive Radar Dataset for Deep Learning Based 3D Object Detection
80
5
Deep Learning Based 3D Object Detection for Automotive Radar and Camera
53
6 11
7 3
8 10
9 5
10 1
11 23
12 3
13
3D Reconstruction Chain - From Images to 3D City Model
1
14 13
15 8
16 19
17 16
18 37

About Georg Kuschk

Georg Kuschk is a scholar working on Geology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Remote Sensing and LiDAR Applications (7 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Instrumentation (36 citations), Computer Vision and Pattern Recognition (191 citations) and Aerospace Engineering (172 citations). Georg Kuschk has collaborated with scholars based in Germany. Frequent co-authors include Michaël Meyer, Pablo d’Angelo, Sven Tomforde, Daniel Cremers, Peter Reinartz, Didier Stricker, Oliver Wasenmüller, Thomas Krauß, Jiaojiao Tian and Uwe Stilla. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

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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