Elmar Rueckert

666 total citations
43 papers, 342 citations indexed

About

Elmar Rueckert is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elmar Rueckert has authored 43 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Control and Systems Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Elmar Rueckert's work include Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (14 papers) and Muscle activation and electromyography studies (6 papers). Elmar Rueckert is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (14 papers) and Muscle activation and electromyography studies (6 papers). Elmar Rueckert collaborates with scholars based in Germany, Austria and Slovenia. Elmar Rueckert's co-authors include Jan Peters, Gerhard Neumann, Alexandros Paraschos, Philipp Beckerle, David Kappel, Dejan Pecevski, Roberto Calandra, Jan Babič, Fotios Lygerakis and Jernej Čamernik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Elmar Rueckert

37 papers receiving 335 citations

Peers

Elmar Rueckert
Comparison fields: 5 of 66
  • Control and Systems Engineering 155
  • Cognitive Neuroscience 99
  • Artificial Intelligence 98
  • Biomedical Engineering 91
  • Computer Vision and Pattern Recognition 69
Alessandro Roncone United States
Guoyu Zuo China
Pietro Falco Italy
Mark Edmonds United States
Ioannis Iossifidis Germany
Siddarth Jain United States
Arun Venkatraman United States
Shervin Javdani United States
Hiroaki Arie Japan
Thiago Eustaquio Alves de Oliveira Canada
Alessandro Roncone United States View profile →
Citations per field, relative to Elmar Rueckert
Elmar Rueckert · 1×
Citations per year, relative to Elmar Rueckert
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Countries citing papers authored by Elmar Rueckert

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Rueckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elmar Rueckert

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Rueckert. A scholar is included among the top collaborators of Elmar Rueckert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elmar Rueckert. Elmar Rueckert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 12
5 2
6 0
7 6
8 16
9 2
10 1
11 10
12 2
13 2
14
REAL-2019: Robot open-Ended Autonomous Learning competition.
3
15 3
16 15
17 11
18 42
19 9
20 12

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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2026