Klaas Klasing

783 total citations
10 papers, 556 citations indexed

About

Klaas Klasing is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Klaas Klasing has authored 10 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Klaas Klasing's work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Vision and Imaging (3 papers). Klaas Klasing is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Vision and Imaging (3 papers). Klaas Klasing collaborates with scholars based in Germany. Klaas Klasing's co-authors include Dirk Wollherr, Martin Buss, Daniel Althoff, Jukka M. Krisp, Liqiu Meng, Andrea Bauer, Tingting Xu, Stefan Sosnowski and Kolja Kühnlenz and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Social Robotics and Annals of GIS.

In The Last Decade

Klaas Klasing

10 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Klaas Klasing Germany	6	279	229	194	148	68	10	556
Laurent Trassoudaine France	15	263 0.9×	227 1.0×	309 1.6×	242 1.6×	72 1.1×	43	707
Paul Checchin France	14	259 0.9×	287 1.3×	335 1.7×	267 1.8×	73 1.1×	47	742
Guangming Wang China	15	296 1.1×	271 1.2×	76 0.4×	95 0.6×	95 1.4×	53	560
Tiziano Guadagnino Germany	12	221 0.8×	364 1.6×	168 0.9×	186 1.3×	37 0.5×	28	539
Mihai Dolha Germany	4	365 1.3×	287 1.3×	309 1.6×	336 2.3×	130 1.9×	5	849
Feilong Yan China	14	321 1.2×	83 0.4×	397 2.0×	142 1.0×	120 1.8×	15	856
Atsuhiko Banno Japan	14	396 1.4×	458 2.0×	197 1.0×	255 1.7×	39 0.6×	43	729
Daniel F. Huber United States	11	590 2.1×	604 2.6×	362 1.9×	348 2.4×	98 1.4×	14	1.1k
Young-Sik Shin South Korea	12	448 1.6×	543 2.4×	122 0.6×	170 1.1×	15 0.2×	32	763
Jean‐Emmanuel Deschaud France	13	240 0.9×	307 1.3×	479 2.5×	430 2.9×	259 3.8×	31	843

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-authorship network of co-authors of Klaas Klasing

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

All Works

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10 of 10 papers shown

1.

Klasing, Klaas, et al.. (2014). Georeferencing: a review of methods and applications. Annals of GIS. 20(1). 61–69. 64 indexed citations

2.

Klasing, Klaas, et al.. (2013). COMPARISON OF POINT MATCHING TECHNIQUES FOR ROAD NETWORK MATCHING. SHILAP Revista de lepidopterología. XL-2/W1. 87–92. 4 indexed citations

3.

Klasing, Klaas. (2010). Aspects of 3D Perception, Abstraction, and Interpretation in Autonomous Mobile Robotics. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 2 indexed citations

4.

Bauer, Andrea, Klaas Klasing, Tingting Xu, et al.. (2009). The Autonomous City Explorer project. 23. 1595–1596. 2 indexed citations

5.

Klasing, Klaas, Dirk Wollherr, & Martin Buss. (2009). Realtime segmentation of range data using continuous nearest neighbors. 2431–2436. 52 indexed citations

6.

Klasing, Klaas, Daniel Althoff, Dirk Wollherr, & Martin Buss. (2009). Comparison of surface normal estimation methods for range sensing applications. 3206–3211. 221 indexed citations

7.

Bauer, Andrea, Klaas Klasing, Stefan Sosnowski, et al.. (2009). The Autonomous City Explorer: Towards Natural Human-Robot Interaction in Urban Environments. International Journal of Social Robotics. 1(2). 127–140. 68 indexed citations

8.

Klasing, Klaas, Dirk Wollherr, & Martin Buss. (2008). A clustering method for efficient segmentation of 3D laser data. 4043–4048. 133 indexed citations

9.

Klasing, Klaas, et al.. (2008). The Autonomous City Explorer: Towards Semantic Navigation in Urban Environments. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 indexed citations

10.

Klasing, Klaas, Dirk Wollherr, & Martin Buss. (2007). Cell-based Probabilistic Roadmaps (CPRM) for Efficient Path Planning in Large Environments. 7 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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