Ruediger Dillmann

2.1k citations
130 papers · 1.4k · h-index 19

Impact in

Papers in

Ruediger Dillmann

123 papers receiving 1.3k citations

Peers

Ruediger Dillmann
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 662
  • Control and Systems Engineering 699
  • Human-Computer Interaction 158
  • Aerospace Engineering 338
  • Biomedical Engineering 427
Replace Tsutomu Hasegawa with:
Tsutomu Hasegawa Japan
Woojin Chung South Korea
Arne Roennau Germany
Akio Namiki Japan
Kai‐Tai Song Taiwan
Arjun Singh United States
Juntong Yun China
Jun Takamatsu Japan
Dominik Henrich Germany
Jeannette Bohg United States
Ruediger Dillmann relative to Tsutomu Hasegawa Japan Tsutomu Hasegawa's profile →
Citations per field
00.5×3.4×
Tsutomu Hasegawa · 1×
Citations per year

Countries citing papers authored by Ruediger Dillmann

Since Specialization
Citations

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

Fields of papers citing papers by Ruediger Dillmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 200587
3 200785
4 200754
5 201450
6 201450
7
An automatic grasp planning system for service robots
200944
8 201431
9 202029
10 200828
11 201828
12 201426
13
6D object localization and obstacle detection for collision-free manipulation with a mobile service robot
200925
14 200723
15 200622
16 200822
17 200422
18 200521
19 201920
20 201518

About Ruediger Dillmann

Ruediger Dillmann is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Biomedical Engineering and Mechanical Engineering, having authored 130 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (45 papers), Robotics and Sensor-Based Localization (38 papers), Robotic Path Planning Algorithms (33 papers), Augmented Reality Applications (20 papers), Robotic Locomotion and Control (15 papers), Modular Robots and Swarm Intelligence (14 papers), Soft Robotics and Applications (14 papers) and Robotic Mechanisms and Dynamics (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (662 citations), Control and Systems Engineering (699 citations), Human-Computer Interaction (158 citations), Aerospace Engineering (338 citations) and Biomedical Engineering (427 citations). Ruediger Dillmann has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Arne Roennau, Zhixing Xue, Tamim Asfour, Steffen Knoop, Michael Pardowitz, A. M. Hermann, Pedram Azad, Keni Bernardin, Koichi Ogawara and Katsushi Ikeuchi. Their work appears in journals such as Robotics and Autonomous Systems, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Robotics, IEEE Transactions on Medical Imaging and IEEE Transactions on Medical Robotics and Bionics.

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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