Sven Behnke

12.4k total citations
283 papers, 5.2k citations indexed

About

Sven Behnke is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Sven Behnke has authored 283 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Computer Vision and Pattern Recognition, 115 papers in Aerospace Engineering and 88 papers in Control and Systems Engineering. Recurrent topics in Sven Behnke's work include Robotics and Sensor-Based Localization (110 papers), Robotic Path Planning Algorithms (57 papers) and Robot Manipulation and Learning (52 papers). Sven Behnke is often cited by papers focused on Robotics and Sensor-Based Localization (110 papers), Robotic Path Planning Algorithms (57 papers) and Robot Manipulation and Learning (52 papers). Sven Behnke collaborates with scholars based in Germany, United States and Italy. Sven Behnke's co-authors include Jörg Stückler, Max Schwarz, David Droeschel, Hannes Schulz, Dirk Holz, Matthias Nieuwenhuisen, Michael Schreiber, Maren Bennewitz, Marius Beul and Jan Quenzel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Sven Behnke

263 papers receiving 4.9k citations

Peers

Sven Behnke
Comparison fields: 5 of 167
  • Computer Vision and Pattern Recognition 2.7k
  • Aerospace Engineering 1.9k
  • Control and Systems Engineering 1.3k
  • Biomedical Engineering 913
  • Artificial Intelligence 742
Replace Maren Bennewitz with:
Maren Bennewitz Germany
Markus Vincze Austria
Marcelo H. Ang Singapore
Gamini Dissanayake Australia
Morgan Quigley United States
Urbano Nunes Portugal
Dirk Hähnel Germany
Steve Cousins United States
Jorge Dias Portugal
Seth Teller United States
Maren Bennewitz Germany View profile →
Citations per field, relative to Sven Behnke
Sven Behnke · 1×
Citations per year, relative to Sven Behnke
Sven Behnke · 1×

Countries citing papers authored by Sven Behnke

Since Specialization
Citations

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

Fields of papers citing papers by Sven Behnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Behnke

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 1
4 1
5 2
6 8
7 12
8 2
9 2
10 80
11
A Dataset for Semantic Segmentation of Point Cloud Sequences
7
12 24
13 27
14 20
15
Hierarchical Planning with 3D Local Multiresolution Obstacle Avoidance for Micro Aerial Vehicles
17
16
Shape-Primitive Based Object Recognition and Grasping
23
17
Dynamaid, čovjekoliki robot za istraživanje uslužnih djelatnosti u kućanstvima
0
18
Probabilistic Phase Unwrapping for Time-of-Flight Cameras
14
19
Investigating Convergence of Restricted Boltzmann Machine Learning
18
20
Meter Value Recognition using Locally Connected Hierarchical Networks
1

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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