K. Arbter

1.0k citations
14 papers · 621 · h-index 9

Impact in

Papers in

K. Arbter

14 papers receiving 573 citations

Peers

K. Arbter
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 437
  • Media Technology 63
  • Aerospace Engineering 138
  • Control and Systems Engineering 98
  • Computer Graphics and Computer-Aided Design 12
Replace Guo-Qing Wei with:
Guo-Qing Wei China
Klaus H. Strobl Germany
Michel Antunes Portugal
Michel F. de Mathelin France
Jianqing Peng China
Y.C. Shiu United States
Benjamin Busam Germany
B. Bascle United States
Zhaoshuo Li United States
John R. Birk United States
K. Arbter relative to Guo-Qing Wei China Guo-Qing Wei's profile →
Citations per field
00.5×1.5×
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

14 of 14 papers shown
#Work
1 1990260
2 1997103
3 199978
4
Real-Time Visual Servoing for laparoscopic Surgery
199757
5 199847
6 200620
7 200814
8 200212
9
Proven Techniques for Robust Visual Servo Control
199811
10 19846
11 20045
12 20024
13
Autonomous Vision-based Navigation of the Nanokhod Rover
20013
14 20131

About K. Arbter

K. Arbter is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Media Technology and Aerospace Engineering, having authored 14 papers that have together received 621 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers), Soft Robotics and Applications (3 papers), Optical measurement and interference techniques (3 papers), Image Processing Techniques and Applications (2 papers), Surgical Simulation and Training (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (437 citations), Media Technology (63 citations), Aerospace Engineering (138 citations), Control and Systems Engineering (98 citations) and Computer Graphics and Computer-Aided Design (12 citations). K. Arbter has collaborated with scholars based in Germany and United States. Frequent co-authors include G. Hirzinger, G. Hirzinger, H. Bürkhardt, W.E. Snyder, Guo-Qing Wei, Guoqing Wei, Hubertus Feußner, Gerd Hirzinger, Kazuhiko Omote and A. Ungeheuer. Their work appears in journals such as IEEE Transactions on Robotics and Automation, Advanced Robotics, The American Journal of Surgery, IEEE Transactions on Pattern Analysis and Machine Intelligence and Molecular and Clinical Oncology.

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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