Michael Suppa

3.3k total citations · 1 hit paper
71 papers, 1.9k citations indexed

About

Michael Suppa is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Michael Suppa has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Aerospace Engineering, 46 papers in Computer Vision and Pattern Recognition and 16 papers in Control and Systems Engineering. Recurrent topics in Michael Suppa's work include Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (23 papers) and Advanced Vision and Imaging (16 papers). Michael Suppa is often cited by papers focused on Robotics and Sensor-Based Localization (47 papers), Robotic Path Planning Algorithms (23 papers) and Advanced Vision and Imaging (16 papers). Michael Suppa collaborates with scholars based in Germany, Spain and United States. Michael Suppa's co-authors include Darius Burschka, Korbinian Schmid, Elmar Mair, Felix Ruess, Teodor Tomić, Andreas Dömel, Heiko Hirschmüller, Tim Bodenmüller, Iris Grixa and Michael Kaßecker and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and The International Journal of Robotics Research.

In The Last Decade

Michael Suppa

66 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Toward a Fully Autonomous UAV: Research Platform for Indoor and Outdoor Urban Search and Rescue

2012 619 citations Teodor Tomić, Korbinian Schmid et al. IEEE Robotics & Automation Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Suppa Germany	21	1.2k	1.1k	497	235	218	71	1.9k
Christos Papachristos United States	28	1.3k 1.1×	1.1k 1.0×	494 1.0×	114 0.5×	129 0.6×	75	1.8k
Armin Hornung Germany	14	1.7k 1.4×	1.7k 1.5×	461 0.9×	407 1.7×	349 1.6×	18	2.4k
Eijiro Takeuchi Japan	23	993 0.8×	1.1k 0.9×	398 0.8×	104 0.4×	223 1.0×	98	2.2k
Kai M. Wurm Germany	14	1.9k 1.6×	1.7k 1.5×	405 0.8×	213 0.9×	359 1.6×	19	2.6k
K. Madhava Krishna India	21	935 0.8×	1.2k 1.1×	337 0.7×	147 0.6×	116 0.5×	177	1.8k
Kaustubh Pathak Germany	20	949 0.8×	875 0.8×	665 1.3×	249 1.1×	340 1.6×	56	1.7k
Udo Frese Germany	21	1.2k 1.0×	920 0.8×	564 1.1×	375 1.6×	164 0.8×	77	2.0k
Mina Kamel Switzerland	18	962 0.8×	1.1k 1.0×	625 1.3×	209 0.9×	109 0.5×	30	1.8k
Juan Andrade‐Cetto Spain	29	1.4k 1.2×	1.3k 1.2×	435 0.9×	133 0.6×	121 0.6×	111	2.2k
Ali‐akbar Agha‐mohammadi United States	27	1.0k 0.9×	987 0.9×	389 0.8×	163 0.7×	181 0.8×	98	2.0k

Countries citing papers authored by Michael Suppa

Since Specialization

Citations

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

Fields of papers citing papers by Michael Suppa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Suppa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sehier, Philippe, et al.. (2025). Localization Accuracy Improvement in Multistatic ISAC with LoS/NLoS Condition Using 5G NR Signals. 1–6.

2.

Rosell, Jan, et al.. (2024). Distributed Control for Collaborative Robotic Systems Using 5G Edge Computing. IEEE Access. 12. 148706–148718. 1 indexed citations

3.

Makris, Sotiris, George Michalos, Niki Kousi, et al.. (2022). Open-Digital-Industrial and Networking pilot lines using modular components for scalable production – ODIN project approach. Procedia CIRP. 106. 162–167. 1 indexed citations

4.

Suppa, Michael, et al.. (2021). Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images. elib (German Aerospace Center). abs 1809 5828. 730–737. 1 indexed citations

5.

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

6.

Schuster, Martin J., et al.. (2015). Multi-robot 6D graph SLAM connecting decoupled local reference filters. elib (German Aerospace Center). 5093–5100. 33 indexed citations

7.

Schmid, Korbinian, Michael Suppa, & Darius Burschka. (2013). Towards Autonomous MAV Exploration in Cluttered Indoor and Outdoor Environments. 6 indexed citations

8.

Ortmeier, Frank, et al.. (2012). Landmark-Tree map: A biologically inspired topological map for long-distance robot navigation. elib (German Aerospace Center). 128–135. 12 indexed citations

9.

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 →

10.

Suppa, Michael, et al.. (2012). Control with a Compliant Force-Torque Sensor. elib (German Aerospace Center). 1–6. 2 indexed citations

11.

Kriegel, Simon, Tim Bodenmüller, Michael Suppa, & Gerd Hirzinger. (2011). A surface-based Next-Best-View approach for automated 3D model completion of unknown objects. 4869–4874. 37 indexed citations

12.

Suppa, Michael, et al.. (2010). Industrierobotik im Wandel (Industrial Robotics).. 58. 663–664. 1 indexed citations

13.

Suppa, Michael, et al.. (2010). Industrierobotik im Wandel. at - Automatisierungstechnik. 58(12). 663–664. 2 indexed citations

14.

Strobl, Klaus H., Elmar Mair, Tim Bodenmüller, et al.. (2009). The self-referenced DLR 3D-modeler. 21–28. 24 indexed citations

15.

Stürzl, Wolfgang, Michael Suppa, & Darius Burschka. (2008). Light-Weight Panoramic Mirror Design for Visual Navigation. International Journal of Cardiology. 101(1). 229–61. 3 indexed citations

16.

Suppa, Michael & Gerd Hirzinger. (2007). Multisensorielle Exploration von Roboterarbeitsräumen (Multisensory Exploration of Robot Workspaces). tm - Technisches Messen. 74(3). 139–146. 1 indexed citations

17.

Bodenmüller, Tim, Wolfgang Sepp, Michael Suppa, & Gerd Hirzinger. (2007). Tackling multi-sensory 3D data acquisition and fusion. 2180–2185. 6 indexed citations

18.

Suppa, Michael & Gerd Hirzinger. (2006). Multisensorielle Exploration von Roboterarbeitsräumen. elib (German Aerospace Center). 1 indexed citations

19.

Strobl, Klaus H., et al.. (2004). The DLR multisensory Hand-Guided Device: the Laser Stripe Profiler. 1927–1932 Vol.2. 27 indexed citations

20.

Albert, Amos, et al.. (2002). Detection of stair dimensions for the path planning of a bipedal robot. 2. 1291–1296. 18 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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