Jochen J. Steil

4.9k citations
175 papers · 3.1k · h-index 30

Impact in

Papers in

Jochen J. Steil

170 papers receiving 3.0k citations

Peers

Jochen J. Steil
Comparison fields: 5 of 121
  • Control and Systems Engineering 1.5k
  • Artificial Intelligence 1.3k
  • Cognitive Neuroscience 669
  • Computer Vision and Pattern Recognition 512
  • Human-Computer Interaction 116
Replace Marc Toussaint with:
Marc Toussaint Germany
Jun Nakanishi Japan
Laxmidhar Behera India
Ludovic Righetti United States
Peter Pástor United States
Chelsea Finn United States
Mrinal Kalakrishnan United States
Michael Gienger Germany
Majid Nili Ahmadabadi Iran
Sukhan Lee South Korea
Jochen J. Steil relative to Marc Toussaint Germany Marc Toussaint's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jochen J. Steil

Since Specialization
Citations

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

Fields of papers citing papers by Jochen J. Steil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jochen J. Steil. 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 Jochen J. Steil. The network helps show where Jochen J. Steil may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008146
2 2005140
3 2014123
4 2007115
5 2007113
6 2010111
7 201298
8 201075
9 200574
10 201370
11 200159
12 201159
13 201758
14 200958
15 201656
16 201251
17 201551
18 201148
19 200448
20 200543

About Jochen J. Steil

Jochen J. Steil is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 175 papers that have together received 3.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (78 papers), Neural Networks and Applications (41 papers), Neural Networks and Reservoir Computing (24 papers), Robotic Locomotion and Control (22 papers), Robotic Mechanisms and Dynamics (19 papers), Reinforcement Learning in Robotics (19 papers), Motor Control and Adaptation (19 papers) and Advanced Memory and Neural Computing (18 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Artificial Intelligence (1.3k citations), Cognitive Neuroscience (669 citations), Computer Vision and Pattern Recognition (512 citations) and Human-Computer Interaction (116 citations). Jochen J. Steil has collaborated with scholars based in Germany, Japan and United Kingdom. Frequent co-authors include Matthias Rolf, Felix Reinhart, Michael Gienger, Klaus Neumann, Helge Ritter, Robert Haschke, Andre Lemme, Manuel Mühlig, Benjamin Schrauwen and Sebastian Wrede. Their work appears in journals such as Neurocomputing, Neural Networks, Robotics and Autonomous Systems, Frontiers in Neurorobotics and Advanced Robotics.

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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