Rüdiger Dillmann

12.4k citations
403 papers · 7.2k · h-index 42

Impact in

Papers in

Rüdiger Dillmann

385 papers receiving 6.8k citations

Peers

Rüdiger Dillmann
Comparison fields: 5 of 151
  • Control and Systems Engineering 3.6k
  • Computer Vision and Pattern Recognition 2.8k
  • Human-Computer Interaction 463
  • Automotive Engineering 729
  • Biomedical Engineering 2.3k
Replace Huaping Liu with:
Huaping Liu China
Jia Pan Hong Kong
Hajime Asama Japan
Marcelo H. Ang Singapore
Siddhartha S Srinivasa United States
J. Andrew Bagnell United States
Morgan Quigley United States
Yunhui Liu Hong Kong
Sergey Levine United States
Ashutosh Saxena United States
Rüdiger Dillmann relative to Huaping Liu China Huaping Liu's profile →
Citations per field
00.5×1.5×1.8×
Huaping Liu · 1×
Citations per year

Countries citing papers authored by Rüdiger Dillmann

Since Specialization
Citations

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

Fields of papers citing papers by Rüdiger Dillmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004211
2 2014198
3 2002184
4 2012153
5 2010152
6 2015140
7 2015128
8 2009126
9 2006124
10 2004122
11 2013114
12 2011112
13 2006111
14 201292
15 200690
16 200588
17 200986
18 201481
19 200879
20 200875

About Rüdiger Dillmann

Rüdiger Dillmann is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Aerospace Engineering, having authored 403 papers that have together received 7.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (114 papers), Robotic Path Planning Algorithms (79 papers), Robotic Locomotion and Control (69 papers), Robotics and Sensor-Based Localization (62 papers), Modular Robots and Swarm Intelligence (41 papers), Robotic Mechanisms and Dynamics (37 papers), Robotics and Automated Systems (28 papers) and Advanced Vision and Imaging (27 papers). The work is most often cited by research in Control and Systems Engineering (3.6k citations), Computer Vision and Pattern Recognition (2.8k citations), Human-Computer Interaction (463 citations), Automotive Engineering (729 citations) and Biomedical Engineering (2.3k citations). Rüdiger Dillmann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Tamim Asfour, Tobias Gindele, Sebastian Brechtel, Pedram Azad, Arne Roennau, Nikolaus Vahrenkamp, Steffen Knoop, Stefan Vacek, J. Marius Zöllner and Aleš Ude. Their work appears in journals such as Robotics and Autonomous Systems, International Journal of Computer Assisted Radiology and Surgery, The International Journal of Robotics Research, Medical Physics and Academic Radiology.

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.

Explore authors with similar magnitude of impact