Markus Rickert

2.5k total citations
64 papers, 1.7k citations indexed

About

Markus Rickert is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Markus Rickert has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 23 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Markus Rickert's work include Robot Manipulation and Learning (29 papers), Robotic Path Planning Algorithms (18 papers) and Robotics and Sensor-Based Localization (11 papers). Markus Rickert is often cited by papers focused on Robot Manipulation and Learning (29 papers), Robotic Path Planning Algorithms (18 papers) and Robotics and Sensor-Based Localization (11 papers). Markus Rickert collaborates with scholars based in Germany, United States and Switzerland. Markus Rickert's co-authors include Alois Knoll, Alexander Perzylo, Stefan Profanter, Nikhil Somani, Christian Günther, Alexander Bürger, Christoph Schulz, Alexander Crispin, Thomas Brandt and Markus A. Huber and has published in prestigious journals such as IEEE Access, IEEE Transactions on Robotics and The Journal Of Hand Surgery.

In The Last Decade

Markus Rickert

61 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Rickert Germany 24 659 470 338 294 285 64 1.7k
Odest Chadwicke Jenkins United States 28 1.2k 1.8× 1.1k 2.2× 44 0.1× 263 0.9× 791 2.8× 125 2.5k
Yu Sun United States 23 510 0.8× 323 0.7× 78 0.2× 70 0.2× 198 0.7× 80 1.4k
Juan Wachs United States 27 388 0.6× 1.1k 2.3× 60 0.2× 281 1.0× 199 0.7× 162 2.8k
Philippe Fraisse France 24 974 1.5× 434 0.9× 267 0.8× 183 0.6× 90 0.3× 214 2.6k
Freek Stulp Germany 25 1.2k 1.8× 337 0.7× 135 0.4× 136 0.5× 564 2.0× 102 1.9k
Andrea Monteriù Italy 23 982 1.5× 331 0.7× 221 0.7× 40 0.1× 250 0.9× 191 2.2k
Gentiane Venture Japan 25 781 1.2× 408 0.9× 126 0.4× 450 1.5× 313 1.1× 188 2.3k
Andrea Cherubini France 22 910 1.4× 577 1.2× 327 1.0× 196 0.7× 125 0.4× 87 2.3k
Hadi Moradi Iran 19 167 0.3× 267 0.6× 143 0.4× 48 0.2× 189 0.7× 166 1.3k
Eliot Winer United States 18 131 0.2× 633 1.3× 145 0.4× 144 0.5× 217 0.8× 141 1.4k

Countries citing papers authored by Markus Rickert

Since Specialization
Citations

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

Fields of papers citing papers by Markus Rickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Rickert

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Rickert. A scholar is included among the top collaborators of Markus Rickert 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 Markus Rickert. Markus Rickert 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
1.
Wen, Long, et al.. (2024). Cloud-Native Fog Robotics: Model-Based Deployment and Evaluation of Real-Time Applications. IEEE Robotics and Automation Letters. 10(1). 398–405.
2.
Rickert, Markus, et al.. (2024). Towards Software-Defined Vehicles: From Model-based Engineering to Virtualization-based Deployment. IEEE Access. 1–1. 2 indexed citations
3.
Rickert, Markus, et al.. (2023). Automated Design Space Exploration for Resource Allocation in Software-Defined Vehicles. mediaTUM (Technical University of Munich). 1–8. 6 indexed citations
5.
Rickert, Markus, et al.. (2020). 6D Pose Estimation for Flexible Production with Small Lot Sizes based on CAD Models using Gaussian Process Implicit Surfaces. mediaTUM (Technical University of Munich). 74. 10572–10579. 2 indexed citations
6.
Perzylo, Alexander, Markus Rickert, Nikhil Somani, et al.. (2019). SMErobotics: Smart Robots for Flexible Manufacturing. IEEE Robotics & Automation Magazine. 26(1). 78–90. 61 indexed citations
7.
Rickert, Markus, et al.. (2019). Wissensbasierte digitale Unterstützung in der Pflanzenbauberatung. 145–150. 1 indexed citations
8.
Profanter, Stefan, et al.. (2019). OPC UA versus ROS, DDS, and MQTT: Performance Evaluation of Industry 4.0 Protocols. mediaTUM (Technical University of Munich). 955–962. 132 indexed citations
9.
Rickert, Markus & Andre Gaschler. (2017). Robotics library: An object-oriented approach to robot applications. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 733–740. 18 indexed citations
10.
Somani, Nikhil, et al.. (2016). Task level robot programming using prioritized non-linear inequality constraints. 430–437. 16 indexed citations
11.
Perzylo, Alexander, Nikhil Somani, Stefan Profanter, Markus Rickert, & Alois Knoll. (2015). Multimodal binding of parameters for task-based robot programming based on semantic descriptions of modalities and parameter types. 21–24. 4 indexed citations
12.
Perzylo, Alexander, Nikhil Somani, Stefan Profanter, et al.. (2015). Ubiquitous Semantics: Representing and Exploiting Knowledge, Geometry, and Language for Cognitive Robot Systems. 2 indexed citations
13.
Somani, Nikhil, et al.. (2015). Prioritized motion-force control of multi-constraints for industrial manipulators. 3. 952–957. 4 indexed citations
14.
Perzylo, Alexander, Nikhil Somani, Markus Rickert, & Alois Knoll. (2015). An ontology for CAD data and geometric constraints as a link between product models and semantic robot task descriptions. 4197–4203. 51 indexed citations
15.
Giuliani, Manuel, Claus Lenz, Thomas Müller, Markus Rickert, & Alois Knoll. (2010). Design Principles for Safety in Human-Robot Interaction. International Journal of Social Robotics. 2(3). 253–274. 35 indexed citations
16.
Rickert, Markus, et al.. (2009). Software Development Workflow in Robotics. International Conference on Robotics and Automation.
17.
Kupferberg, Aleksandra, Stefan Glasauer, Markus A. Huber, et al.. (2009). Video Observation of Humanoid Robot Movements Elicits Motor Interference. Human-Robot Interaction. 3 indexed citations
18.
Lenz, Claus, et al.. (2008). Joint-action for humans and industrial robots for assembly tasks. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 130–135. 61 indexed citations
19.
Günther, Christian, Alexander Bürger, Markus Rickert, & Christoph Schulz. (2008). Key Pinch in Healthy Adults: Normative Values. Journal of Hand Surgery (European Volume). 33(2). 144–148. 28 indexed citations
20.
Foster, Mary Ellen, et al.. (2006). Symmetrical Joint Action in Human-Robot Dialogue. 1 indexed citations

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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