Michael Kaßecker

1.1k total citations · 1 hit paper
8 papers, 749 citations indexed

About

Michael Kaßecker is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Michael Kaßecker has authored 8 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Michael Kaßecker's work include Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Michael Kaßecker is often cited by papers focused on Robotics and Sensor-Based Localization (5 papers), Robotic Path Planning Algorithms (3 papers) and Modular Robots and Swarm Intelligence (2 papers). Michael Kaßecker collaborates with scholars based in Germany. Michael Kaßecker's co-authors include Andreas Dömel, Michael Suppa, Iris Grixa, Felix Ruess, Philipp Lutz, Darius Burschka, Teodor Tomić, Elmar Mair, Korbinian Schmid and Simon Kriegel and has published in prestigious journals such as IEEE Robotics and Automation Letters, IEEE Robotics & Automation Magazine and International Journal of Advanced Robotic Systems.

In The Last Decade

Michael Kaßecker

8 papers receiving 732 citations

Hit Papers

Toward a Fully Autonomous UAV: Research Platform for Indo... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kaßecker Germany 5 466 386 229 135 87 8 749
Abhijeet Ravankar Japan 15 498 1.1× 647 1.7× 266 1.2× 80 0.6× 82 0.9× 69 914
Abdulla Al-Kaff Spain 14 444 1.0× 520 1.3× 121 0.5× 154 1.1× 69 0.8× 36 831
Arturo Gil Spain 16 582 1.2× 600 1.6× 157 0.7× 109 0.8× 94 1.1× 60 862
Wendelin Feiten Germany 10 448 1.0× 568 1.5× 237 1.0× 64 0.5× 87 1.0× 21 786
Christoforos Kanellakis Sweden 14 552 1.2× 521 1.3× 156 0.7× 122 0.9× 62 0.7× 66 816
Ladislav Jurišica Slovakia 7 356 0.8× 555 1.4× 228 1.0× 89 0.7× 47 0.5× 15 742
Yufeng Yue China 17 511 1.1× 519 1.3× 133 0.6× 127 0.9× 120 1.4× 85 844
Robert Pěnička Czechia 18 468 1.0× 570 1.5× 257 1.1× 171 1.3× 41 0.5× 41 913
Àngel Santamaria‐Navarro Spain 13 400 0.9× 364 0.9× 226 1.0× 76 0.6× 62 0.7× 25 659
Tiago Nascimento Brazil 17 312 0.7× 429 1.1× 518 2.3× 274 2.0× 62 0.7× 76 1.0k

Countries citing papers authored by Michael Kaßecker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kaßecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kaßecker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kaßecker. A scholar is included among the top collaborators of Michael Kaßecker 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 Michael Kaßecker. Michael Kaßecker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kaßecker, Michael, et al.. (2019). Combined Visual and Touch-based Sensing for the Autonomous Registration of Objects with Circular Features. elib (German Aerospace Center). 426–433. 4 indexed citations
2.
Leidner, Daniel, et al.. (2019). Iteratively Refined Feasibility Checks in Robotic Assembly Sequence Planning. IEEE Robotics and Automation Letters. 4(2). 1416–1423. 41 indexed citations
3.
Dömel, Andreas, Simon Kriegel, Michael Kaßecker, et al.. (2017). Toward fully autonomous mobile manipulation for industrial environments. International Journal of Advanced Robotic Systems. 14(4). 51 indexed citations
4.
Kaßecker, Michael, et al.. (2016). A Complete Automated Chain for Flexible Assembly using Recognition, Planning and Sensor-Based Execution. elib (German Aerospace Center). 1–8. 13 indexed citations
5.
Schuster, Martin J., Peter Lehner, Josef Reill, et al.. (2016). The LRU Rover for Autonomous Planetary Exploration and Its Success in the SpaceBotCamp Challenge. elib (German Aerospace Center). 7–14. 16 indexed citations
6.
Kriegel, Simon, et al.. (2015). A dataset to support and benchmark computer vision development for close range on-orbit servicing. elib (German Aerospace Center). 2 indexed citations
7.
Tomić, Teodor, Korbinian Schmid, Philipp Lutz, et al.. (2012). Toward a Fully Autonomous UAV: Research Platform for Indoor and Outdoor Urban Search and Rescue. IEEE Robotics & Automation Magazine. 19(3). 46–56. 619 indexed citations breakdown →
8.
Giuliani, Manuel, Michael Kaßecker, Alexander Bannat, et al.. (2008). MuDiS – A Multimodal Dialogue System for Human–Robot Interaction. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3 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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