Jörg Stückler

5.1k total citations · 2 hit papers
65 papers, 2.4k citations indexed

About

Jörg Stückler is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jörg Stückler has authored 65 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Aerospace Engineering, 39 papers in Computer Vision and Pattern Recognition and 21 papers in Control and Systems Engineering. Recurrent topics in Jörg Stückler's work include Robotics and Sensor-Based Localization (42 papers), Advanced Vision and Imaging (23 papers) and Robot Manipulation and Learning (15 papers). Jörg Stückler is often cited by papers focused on Robotics and Sensor-Based Localization (42 papers), Advanced Vision and Imaging (23 papers) and Robot Manipulation and Learning (15 papers). Jörg Stückler collaborates with scholars based in Germany and Spain. Jörg Stückler's co-authors include Sven Behnke, Daniel Cremers, Jakob Engel, Bastian Leibe, Yevhen Kuznietsov, David Droeschel, Christian Kerl, Lingni Ma, Vladyslav Usenko and Dirk Holz and has published in prestigious journals such as International Journal of Computer Vision, Robotics and Autonomous Systems and IEEE Robotics & Automation Magazine.

In The Last Decade

Jörg Stückler

61 papers receiving 2.3k citations

Hit Papers

Semi-Supervised Deep Learning for Monocular Depth Map Pre... 2015 2026 2018 2022 2017 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Stückler Germany 25 1.7k 1.4k 471 415 258 65 2.4k
Ankur Handa United Kingdom 18 1.5k 0.9× 1.1k 0.7× 475 1.0× 462 1.1× 97 0.4× 31 2.3k
Patrick Rives France 23 2.5k 1.5× 1.8k 1.3× 213 0.5× 386 0.9× 707 2.7× 97 3.0k
Peter Henry United States 11 1.9k 1.1× 1.2k 0.8× 494 1.0× 159 0.4× 268 1.0× 11 2.4k
Abraham Bachrach United States 15 1.6k 0.9× 1.2k 0.9× 158 0.3× 194 0.5× 250 1.0× 17 2.2k
Richard Newcombe United States 13 1.6k 0.9× 920 0.6× 463 1.0× 255 0.6× 93 0.4× 29 2.1k
Javier Civera Spain 27 2.6k 1.5× 2.5k 1.7× 577 1.2× 522 1.3× 103 0.4× 77 3.7k
Michel Dhome France 22 1.5k 0.9× 1.2k 0.8× 212 0.5× 174 0.4× 138 0.5× 78 1.8k
Ezio Malis France 25 2.9k 1.7× 1.9k 1.3× 179 0.4× 358 0.9× 952 3.7× 67 3.3k
Michael Krainin United States 10 1.0k 0.6× 884 0.6× 403 0.9× 130 0.3× 105 0.4× 15 1.5k
Akihiko Torii Japan 19 2.7k 1.6× 1.9k 1.4× 338 0.7× 72 0.2× 188 0.7× 42 3.1k

Countries citing papers authored by Jörg Stückler

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Stückler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Stückler

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Stückler. A scholar is included among the top collaborators of Jörg Stückler 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 Jörg Stückler. Jörg Stückler 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.
Li, Haolong, et al.. (2024). Event-Based Non-rigid Reconstruction of Low-Rank Parametrized Deformations from Contours. International Journal of Computer Vision. 132(8). 2943–2961.
2.
Wang, Rui, Nan Yang, Jörg Stückler, & Daniel Cremers. (2020). DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation. OPUS (Augsburg University). 16 indexed citations
3.
Ma, Lingni, Jörg Stückler, Christian Kerl, & Daniel Cremers. (2017). Multi-view deep learning for consistent semantic mapping with RGB-D cameras. OPUS (Augsburg University). 598–605. 88 indexed citations
4.
Kuznietsov, Yevhen, Jörg Stückler, & Bastian Leibe. (2017). Semi-Supervised Deep Learning for Monocular Depth Map Prediction. OPUS (Augsburg University). 2215–2223. 420 indexed citations breakdown →
5.
Ma, Lingni, Christian Kerl, Jörg Stückler, & Daniel Cremers. (2016). CPA-SLAM: Consistent plane-model alignment for direct RGB-D SLAM. OPUS (Augsburg University). 1285–1291. 100 indexed citations
6.
Usenko, Vladyslav, Jakob Engel, Jörg Stückler, & Daniel Cremers. (2016). Direct visual-inertial odometry with stereo cameras. OPUS (Augsburg University). 1885–1892. 161 indexed citations
7.
Engel, Jakob, Jörg Stückler, & Daniel Cremers. (2015). Large-scale direct SLAM with stereo cameras. OPUS (Augsburg University). 1935–1942. 376 indexed citations breakdown →
8.
Droeschel, David, Matthias Nieuwenhuisen, Marius Beul, et al.. (2015). Multilayered Mapping and Navigation for Autonomous Micro Aerial Vehicles. Journal of Field Robotics. 33(4). 451–475. 58 indexed citations
9.
Maier, Robert, Jörg Stückler, & Daniel Cremers. (2015). Super-resolution Keyframe Fusion for 3D Modeling with High-Quality Textures. OPUS (Augsburg University). 536–544. 19 indexed citations
10.
Holz, Dirk, et al.. (2015). Real-time object detection, localization and verification for fast robotic depalletizing. OPUS (Augsburg University). 1459–1466. 34 indexed citations
11.
Stückler, Jörg & Sven Behnke. (2013). Hierarchical object discovery and dense modelling from motion cues in RGB-D video. OPUS (Augsburg University). 2502–2509. 4 indexed citations
12.
Nieuwenhuisen, Matthias, David Droeschel, Dirk Holz, et al.. (2013). Mobile bin picking with an anthropomorphic service robot. OPUS (Augsburg University). 2327–2334. 65 indexed citations
13.
Nieuwenhuisen, Matthias, Jörg Stückler, Alexander Berner, Reinhard Klein, & Sven Behnke. (2012). Shape-Primitive Based Object Recognition and Grasping. OPUS (Augsburg University). 1–5. 23 indexed citations
14.
Stückler, Jörg & Sven Behnke. (2012). Integrating depth and color cues for dense multi-resolution scene mapping using RGB-D cameras. OPUS (Augsburg University). 41 indexed citations
15.
Stückler, Jörg & Sven Behnke. (2011). Dynamaid, čovjekoliki robot za istraživanje uslužnih djelatnosti u kućanstvima. 52(3). 233–243.
16.
Stückler, Jörg & Sven Behnke. (2011). Following human guidance to cooperatively carry a large object. OPUS (Augsburg University). 218–223. 37 indexed citations
17.
Nieuwenhuisen, Matthias, Jörg Stückler, & Sven Behnke. (2010). Intuitive multimodal interaction for service robots. Human-Robot Interaction. 177–178. 2 indexed citations
18.
Droeschel, David, Dirk Holz, Jörg Stückler, & Sven Behnke. (2010). Using Time-of-Flight cameras with active gaze control for 3D collision avoidance. OPUS (Augsburg University). 4035–4040. 21 indexed citations
19.
Stückler, Jörg, et al.. (2006). Getting Back on Two Feet: Reliable Standing-up Routines for a Humanoid Robot.. OPUS (Augsburg University). 676–685. 28 indexed citations
20.
Behnke, Sven, et al.. (2006). See, walk, and kick: Humanoid robots start to play soccer. OPUS (Augsburg University). 497–503. 30 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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