Klaas Klasing

790 citations
13 papers · 607 · h-index 7

Impact in

Papers in

Klaas Klasing

12 papers receiving 579 citations

Peers

Klaas Klasing
Comparison fields: 5 of 83
  • Geology 155
  • Environmental Engineering 201
  • Computer Vision and Pattern Recognition 299
  • Aerospace Engineering 243
  • Instrumentation 33
Replace Christian Frueh with:
Christian Frueh United States
Mathieu Brédif France
Mihai Dolha Germany
Laurent Trassoudaine France
Paul Checchin France
Atsuhiko Banno Japan
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Lingni Ma United States
Michal Havlena Switzerland
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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

13 of 13 papers shown
#Work
1 2009231
2 2008140
3 200982
4 201475
5 200954
6
Cell-based Probabilistic Roadmaps (CPRM) for Efficient Path Planning in Large Environments
20077
7 20136
8 20093
9
The Autonomous City Explorer: Towards Semantic Navigation in Urban Environments
20083
10
Aspects of 3D Perception, Abstraction, and Interpretation in Autonomous Mobile Robotics
20103
11 20142
12 20091
13 20100

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 13 papers that have together received 607 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers), Advanced Vision and Imaging (3 papers), Automated Road and Building Extraction (3 papers), Robotics and Automated Systems (3 papers), Geographic Information Systems Studies (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Geology (155 citations), Environmental Engineering (201 citations), Computer Vision and Pattern Recognition (299 citations), Aerospace Engineering (243 citations) and Instrumentation (33 citations). Klaas Klasing has collaborated with scholars based in Germany. Frequent co-authors include Dirk Wollherr, Martin Buss, Daniel Althoff, Jukka M. Krisp, Liqiu Meng, Andrea Bauer, Stefan Sosnowski, Kolja Kühnlenz and Tingting Xu. Their work appears in journals such as International Journal of Social Robotics, Annals of GIS, at - Automatisierungstechnik, Lecture notes in geoinformation and cartography 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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