Georg Passig

16 papers receiving 631 citations

Peers

Georg Passig
Comparison fields: 5 of 64
  • Biomedical Engineering 476
  • Human-Computer Interaction 42
  • Control and Systems Engineering 146
  • Surgery 190
  • Computer Vision and Pattern Recognition 100
Replace Yaser Maddahi with:
Yaser Maddahi Canada
Giuseppe Megali Italy
Mahta Khoshnam Canada
Andrew H. Gosline United States
Oliver Tonet Italy
Carlo Seneci United Kingdom
Ann Majewicz Fey United States
Chiharu Ishii Japan
Evren Samur Türkiye
Stuart A Bowyer United Kingdom
Georg Passig relative to Yaser Maddahi Canada Yaser Maddahi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Georg Passig

Since Specialization
Citations

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

Fields of papers citing papers by Georg Passig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009200
2 2008147
3 2012116
4 200952
5 201050
6 201126
7 200425
8 20117
9
DLR MiroSurge -- towards versatility in surgical robotics
20087
10 20116
11
Fiberoptic 6-DOF Force-Torque-Sensing for Haptic Feedback in Minimally Invasive Robotic Surgery
20094
12 20104
13 20063
14 20022
15
Scene Model Acquisition from Stereo Vision for Photo-Realistic Scene Prediction
20032
16
Advances in Telerobotics, chapter Robot Assisted Force Feedback Surgery
20072

About Georg Passig

Georg Passig is a scholar working on Biomedical Engineering, Surgery, Control and Systems Engineering, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 16 papers that have together received 653 indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Anatomy and Medical Technology (4 papers), Surgical Simulation and Training (3 papers), Advanced Vision and Imaging (3 papers), Robotic Mechanisms and Dynamics (2 papers), Robot Manipulation and Learning (2 papers), Muscle activation and electromyography studies (2 papers) and Real-Time Systems Scheduling (2 papers). The work is most often cited by research in Biomedical Engineering (476 citations), Human-Computer Interaction (42 citations), Control and Systems Engineering (146 citations), Surgery (190 citations) and Computer Vision and Pattern Recognition (100 citations). Georg Passig has collaborated with scholars based in Germany. Frequent co-authors include Claudio Castellini, Ulrich Hagn, Mathias Nickl, Sophie Jörg, Alin Albu‐Schäffer, Luc Le-Tien, Markus Grebenstein, Ulrich Seibold, Franz Hacker and R. Konietschke. Their work appears in journals such as Industrial Robot the international journal of robotics research and application, PRESENCE Virtual and Augmented Reality, Journal of Biomechanics, IEEE Transactions on Neural Systems and Rehabilitation Engineering and International Journal of Computer Assisted Radiology and 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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