Kai Huebner

837 total citations
22 papers, 583 citations indexed

About

Kai Huebner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kai Huebner has authored 22 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Kai Huebner's work include Robot Manipulation and Learning (14 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Kai Huebner is often cited by papers focused on Robot Manipulation and Learning (14 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Kai Huebner collaborates with scholars based in Sweden, Germany and Romania. Kai Huebner's co-authors include Danica Kragić, Dan Song, Carl Henrik Ek, Mårten Björkman, Ville Kyrki, Kai Welke, Rüdiger Dillmann, Yasemin Bekiroglu, Tamim Asfour and Markus Przybylski and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Kai Huebner

22 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Huebner Sweden	11	474	240	194	114	110	22	583
Daniel Kappler Germany	12	393 0.8×	198 0.8×	189 1.0×	168 1.5×	75 0.7×	20	555
Corey Goldfeder United States	6	613 1.3×	202 0.8×	338 1.7×	90 0.8×	106 1.0×	9	700
Koichi Ogawara Japan	15	396 0.8×	344 1.4×	232 1.2×	118 1.0×	66 0.6×	53	686
Balakumar Sundaralingam United States	12	345 0.7×	206 0.9×	129 0.7×	107 0.9×	94 0.9×	17	482
Staffan Ekvall Sweden	13	489 1.0×	337 1.4×	153 0.8×	192 1.7×	182 1.7×	20	750
Sahar El-Khoury France	12	528 1.1×	125 0.5×	372 1.9×	95 0.8×	74 0.7×	17	637
Matteo Saveriano Italy	13	391 0.8×	191 0.8×	158 0.8×	161 1.4×	41 0.4×	65	609
Marek Kopicki United Kingdom	11	322 0.7×	138 0.6×	173 0.9×	80 0.7×	65 0.6×	18	414
Pedram Azad Germany	15	421 0.9×	442 1.8×	195 1.0×	109 1.0×	193 1.8×	21	750
Zhixing Xue Germany	11	309 0.7×	173 0.7×	149 0.8×	54 0.5×	91 0.8×	24	409

Countries citing papers authored by Kai Huebner

Since Specialization

Citations

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

Fields of papers citing papers by Kai Huebner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Huebner

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

All Works

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20 of 20 papers shown

Song, Dan, Carl Henrik Ek, Kai Huebner, & Danica Kragić. (2015). Task-Based Robot Grasp Planning Using Probabilistic Inference. IEEE Transactions on Robotics. 31(3). 546–561. 54 indexed citations

Song, Dan, Carl Henrik Ek, Kai Huebner, & Danica Kragić. (2011). Embodiment-specific representation of robot grasping using graphical models and latent-space discretization. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 10 indexed citations

Bekiroglu, Yasemin, Kai Huebner, & Danica Kragić. (2011). Integrating grasp planning with online stability assessment using tactile sensing. Chalmers Research (Chalmers University of Technology). 4750–4755. 12 indexed citations

Ek, Carl Henrik, et al.. (2011). Multivariate discretization for Bayesian Network structure learning in robot grasping. Zenodo (CERN European Organization for Nuclear Research). 1944–1950. 40 indexed citations

Ek, Carl Henrik, et al.. (2011). Embodiment-specific representation of robot grasping using graphical models and latent-space discretization. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 980–986. 8 indexed citations

Huebner, Kai. (2011). BADGr—A toolbox for box-based approximation, decomposition and GRasping. Robotics and Autonomous Systems. 60(3). 367–376. 17 indexed citations

Ek, Carl Henrik, Dan Song, Kai Huebner, & Danica Kragić. (2010). Exploring affordances in robot grasping through latent structure representation. Bristol Research (University of Bristol). 4 indexed citations

Ek, Carl Henrik, Dan Song, Kai Huebner, & Danica Kragić. (2010). Task modeling in imitation learning using latent variable models. 6. 548–553. 5 indexed citations

Song, Dan, Kai Huebner, Ville Kyrki, & Danica Kragić. (2010). Learning task constraints for robot grasping using graphical models. 1579–1585. 68 indexed citations

10.

Ek, Carl Henrik, et al.. (2010). ECCV Workshop on Vision for Cognitive Tasks. 2 indexed citations

11.

Huebner, Kai, Kai Welke, Markus Przybylski, et al.. (2009). Grasping known objects with humanoid robots: A box-based approach. 1–6. 31 indexed citations

12.

Huebner, Kai, et al.. (2009). Learning of 2D grasping strategies from box-based 3D object approximations. 15 indexed citations

13.

Björkman, Mårten, et al.. (2009). An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World. The International Journal of Robotics Research. 29(2-3). 133–154. 78 indexed citations

14.

Bohg, Jeannette, et al.. (2009). TOWARDS GRASP-ORIENTED VISUAL PERCEPTION FOR HUMANOID ROBOTS. International Journal of Humanoid Robotics. 6(3). 387–434. 17 indexed citations

15.

Huebner, Kai & Danica Kragić. (2008). Selection of robot pre-grasps using box-based shape approximation. 1765–1770. 86 indexed citations

16.

Huebner, Kai, et al.. (2006). Stable Symmetry Feature Detection and Classification in Panoramic Robot Vision Systems. 3429–3434. 3 indexed citations

17.

Westhoff, Daniel, et al.. (2006). Robust illumination-invariant features by quantitative bilateral symmetry detection. 1841. 48–53. 2 indexed citations

18.

Huebner, Kai, et al.. (2006). A Comparison of Regional Feature Detectors in Panoramic Images. 666–671. 2 indexed citations

19.

Huebner, Kai, et al.. (2006). Stable Symmetric Feature Detection and Classification in Panoramic Robot Vision Systems. 7–7. 2 indexed citations

20.

Huebner, Kai, et al.. (2005). OPTIMIZED QUANTITATIVE BILATERAL SYMMETRY DETECTION. 2(3). 241–249. 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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