K. Arbter

1.1k citations
22 papers · 834 · h-index 11

Impact in

Papers in

K. Arbter

21 papers receiving 768 citations

Peers

K. Arbter
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 546
  • Media Technology 71
  • Aerospace Engineering 186
  • Control and Systems Engineering 122
  • Biomedical Engineering 223
Replace Guo-Qing Wei with:
Guo-Qing Wei Germany
Michel F. de Mathelin France
Benjamin Busam Germany
B. Bascle France
Josep Amat Spain
Jianqing Peng China
Klaus H. Strobl Germany
Zhaoshuo Li United States
Erol Özgür France
K. Arbter relative to Guo-Qing Wei Germany Guo-Qing Wei's profile →
Citations per field
00.5×1.5×2.2×
Guo-Qing Wei · 1×
Citations per year

Countries citing papers authored by K. Arbter

Since Specialization
Citations

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

Fields of papers citing papers by K. Arbter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Arbter, 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 K. Arbter Line = papers co-authored together K. Arbter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990307
2 1997128
3 199996
4
Real-Time Visual Servoing for laparoscopic Surgery
199772
5 199753
6 199852
7 200826
8 200622
9 200816
10
Proven Techniques for Robust Visual Servo Control
199815
11 200215
12 19847
13 19955
14
Autonomous Vision-based Navigation of the Nanokhod Rover
20015
15 20024
16 19983
17 20043
18
Ein Entwurfswerkzeug für Farbklassifikatoren in Echtzeitanwendungen
20042
19 20061
20
Telerobotic control and human robot-interaction.
19971

About K. Arbter

K. Arbter is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Media Technology, Biomedical Engineering and Aerospace Engineering, having authored 22 papers that have together received 834 indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), Robot Manipulation and Learning (6 papers), Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), Robotic Mechanisms and Dynamics (4 papers), Teleoperation and Haptic Systems (3 papers), Optical measurement and interference techniques (3 papers) and Surgical Simulation and Training (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (546 citations), Media Technology (71 citations), Aerospace Engineering (186 citations), Control and Systems Engineering (122 citations) and Biomedical Engineering (223 citations). K. Arbter has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include G. Hirzinger, G. Hirzinger, Guo-Qing Wei, W.E. Snyder, H. J. Burkhardt, Gerd Hirzinger, Guoqing Wei, J. R. Siewert, Kazuhiko Omote and Hubertus Feußner. Their work appears in journals such as Lecture notes in control and information sciences, Advanced Robotics, IEEE Transactions on Robotics and Automation, IEEE Transactions on Pattern Analysis and Machine Intelligence and The American Journal of Surgery.

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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