Klaas Klasing

783 citations
10 papers · 556 indexed · h-index 6

Impact in

Papers in

Journals
International Journal of Social Robotics (1 paper)Annals of GIS (1 paper)SHILAP Revista de lepidopterología (1 paper)mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (2 papers)
Partner nations
Germany

In The Last Decade

Klaas Klasing

10 papers receiving 527 citations

Peers

Klaas Klasing
Comparison fields: 5 of 84
  • Geology 148
  • Computer Vision and Pattern Recognition 279
  • Environmental Engineering 194
  • Instrumentation 32
  • Aerospace Engineering 229
Replace Mihai Dolha with:
Mihai Dolha Germany
Mathieu Brédif France
Atsuhiko Banno Japan
Paul Checchin France
Laurent Trassoudaine France
Shangshu Yu China
Jean‐Emmanuel Deschaud France
Jan Elseberg Germany
Geert De Cubber Belgium
Balázs Nagy Hungary
Klaas Klasing relative to Mihai Dolha Germany Mihai Dolha's profile →
Citations per field
00.5×1.5×
Mihai Dolha · 1×
Citations per year

Countries citing papers authored by Klaas Klasing

Since Specialization
Citations

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

Fields of papers citing papers by Klaas Klasing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Klaas Klasing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Klaas Klasing Line = papers co-authored together Klaas Klasing links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2009221
2 2008133
3 200968
4 201464
5 200952
6
Cell-based Probabilistic Roadmaps (CPRM) for Efficient Path Planning in Large Environments
20077
7 20134
8
The Autonomous City Explorer: Towards Semantic Navigation in Urban Environments
20083
9 20092
10
Aspects of 3D Perception, Abstraction, and Interpretation in Autonomous Mobile Robotics
20102

About Klaas Klasing

Klaas Klasing is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Ocean Engineering and Signal Processing, having authored 10 papers that have together received 556 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers), Advanced Vision and Imaging (3 papers), Robotics and Automated Systems (3 papers), Data Management and Algorithms (2 papers), Remote Sensing and LiDAR Applications (2 papers), Automated Road and Building Extraction (2 papers) and Geographic Information Systems Studies (2 papers). The work is most often cited by research in Geology (148 citations), Computer Vision and Pattern Recognition (279 citations), Environmental Engineering (194 citations), Instrumentation (32 citations) and Aerospace Engineering (229 citations). Klaas Klasing has collaborated with scholars based in Germany. Frequent co-authors include Dirk Wollherr, Martin Buss, Daniel Althoff, Liqiu Meng, Jukka M. Krisp, Tingting Xu, Andrea Bauer, Stefan Sosnowski and Kolja Kühnlenz. Their work appears in journals such as International Journal of Social Robotics, Annals of GIS, SHILAP Revista de lepidopterología and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

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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