Norbert Krüger

6.8k total citations
191 papers, 3.1k citations indexed

About

Norbert Krüger is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Norbert Krüger has authored 191 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Computer Vision and Pattern Recognition, 69 papers in Control and Systems Engineering and 48 papers in Aerospace Engineering. Recurrent topics in Norbert Krüger's work include Robot Manipulation and Learning (58 papers), Robotics and Sensor-Based Localization (48 papers) and Advanced Vision and Imaging (38 papers). Norbert Krüger is often cited by papers focused on Robot Manipulation and Learning (58 papers), Robotics and Sensor-Based Localization (48 papers) and Advanced Vision and Imaging (38 papers). Norbert Krüger collaborates with scholars based in Denmark, Germany and United Kingdom. Norbert Krüger's co-authors include Laurenz Wiskott, Dirk Kraft, Justus Piater, Florentin Wörgötter, Jean‐Marc Fellous, Anders Glent Buch, C. von der Malsburg, Aleš Ude, Nicolas Pugeault and Sinan Kalkan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Norbert Krüger

185 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norbert Krüger Denmark 29 1.4k 1.3k 618 483 464 191 3.1k
Ville Kyrki Finland 27 1.0k 0.7× 1.1k 0.9× 502 0.8× 339 0.7× 608 1.3× 168 2.7k
Carme Torras Spain 32 1.6k 1.1× 1.9k 1.5× 868 1.4× 555 1.1× 916 2.0× 248 4.5k
Justus Piater Austria 26 1.2k 0.8× 1.0k 0.8× 971 1.6× 285 0.6× 362 0.8× 162 2.6k
Naoyuki Kubota Japan 23 1.3k 0.9× 1.1k 0.8× 945 1.5× 290 0.6× 451 1.0× 492 3.2k
Brett Browning United States 18 879 0.6× 1.5k 1.2× 1.3k 2.0× 488 1.0× 395 0.9× 53 2.8k
Guillem Alenyà Spain 27 987 0.7× 845 0.7× 467 0.8× 293 0.6× 462 1.0× 115 2.6k
Marc Toussaint Germany 30 1.1k 0.8× 1.4k 1.1× 1.6k 2.6× 270 0.6× 384 0.8× 159 3.5k
Laxmidhar Behera India 33 1000 0.7× 1.7k 1.4× 625 1.0× 510 1.1× 403 0.9× 313 4.2k
Roderic A. Grupen United States 26 788 0.6× 1.4k 1.1× 809 1.3× 288 0.6× 659 1.4× 140 2.4k
Markus Vincze Austria 30 2.2k 1.5× 936 0.7× 560 0.9× 1.6k 3.4× 365 0.8× 266 3.9k

Countries citing papers authored by Norbert Krüger

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Krüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Krüger

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Krüger. A scholar is included among the top collaborators of Norbert Krüger 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 Norbert Krüger. Norbert Krüger 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.
Kalkan, Sinan, et al.. (2024). Pre-Grasp Approaching on Mobile Robots: A Pre-Active Layered Approach. IEEE Robotics and Automation Letters. 9(3). 2606–2613. 3 indexed citations
2.
Kramberger, Aljaž, et al.. (2024). Planning Base Poses and Object Grasp Choices for Table-Clearing Tasks Using Dynamic Programming. University of Southern Denmark Research Portal (University of Southern Denmark). 1316–1323. 1 indexed citations
3.
Hornecker, Eva, et al.. (2023). Floor Cleaners as Helper Pets: Projecting Assistive Robots’ Agency on Zoomorphic Affordances. SN Computer Science. 4(4). 372–372. 1 indexed citations
4.
Krüger, Norbert, Kerstin Fischer, Poramate Manoonpong, et al.. (2021). The SMOOTH-Robot: A Modular, Interactive Service Robot. Frontiers in Robotics and AI. 8. 645639–645639. 8 indexed citations
5.
Savarimuthu, Thiusius Rajeeth, et al.. (2019). Using spatial constraints for fast set-up of precise pose estimation in an industrial setting. University of Southern Denmark Research Portal (University of Southern Denmark). 1308–1314. 11 indexed citations
6.
Jørgensen, Troels, et al.. (2018). Robust optimization with applications to design of context specific robot solutions. Robotics and Computer-Integrated Manufacturing. 53. 162–177. 7 indexed citations
7.
Fischer, Kerstin, et al.. (2016). A Comparison of Types of Robot Control for Programming by Demonstration. Human-Robot Interaction. 213–220. 28 indexed citations
8.
Wächter, Mirko, Sándor Szedmák, Alejandro Agostini, et al.. (2016). Affordance estimation for vision-based object replacement on a humanoid robot. University of Southern Denmark Research Portal (University of Southern Denmark). 164–172. 2 indexed citations
9.
Kraft, Dirk, et al.. (2015). Enhanced 3D face processing using an active vision system. University of Southern Denmark Research Portal (University of Southern Denmark). 3. 466–473. 1 indexed citations
10.
Bodenhagen, Leon, et al.. (2013). Statistical Identification of Composed Visual Features Indicating High Likelihood of Grasp Success. University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations
11.
Bodenhagen, Leon, et al.. (2011). Grasp Densities for Grasp Refinement in Industrial Bin Picking. University of Southern Denmark Research Portal (University of Southern Denmark).
12.
Pauwels, Karl, et al.. (2010). A cortical architecture on parallel hardware for motion processing in real time. Journal of Vision. 10(10). 18–18. 25 indexed citations
13.
Başeski, Emre, et al.. (2009). Bayesian Reasoning Using 3D Relations for Lane Marker Detection. University of Southern Denmark Research Portal (University of Southern Denmark). 127–134. 2 indexed citations
14.
Krüger, Norbert, Justus Piater, Florentin Wörgötter, et al.. (2009). A Formal Definition of Object-Action Complexes and Examples at Different Levels of the Processing Hierarchy. Computer and Information Science. 83(8). 1–39. 20 indexed citations
15.
Kalkan, Sinan, Florentin Wörgötter, & Norbert Krüger. (2008). DEPTH PREDICTION AT HOMOGENEOUS IMAGE STRUCTURES. University of Southern Denmark Research Portal (University of Southern Denmark). 520–527. 1 indexed citations
16.
Kalkan, Sinan, et al.. (2004). Optic Flow Statistics and Intrinsic Dimensionality. Annual Review of Marine Science. 9. 257–281. 3 indexed citations
17.
Krüger, Norbert, et al.. (2002). An Explicit and Compact Coding of Geometric and Structural Information Applied to Stereo Processing.. KTH Publication Database DiVA (KTH Royal Institute of Technology). 411–418. 4 indexed citations
18.
Butzlaff, Martin, et al.. (2001). Ärzte, Internet und neues Wissen Nutzung und Effizienz von neuen Weiterbildungsmedien im Krankenhaus. Medizinische Klinik. 96(6). 309–320. 4 indexed citations
19.
Krüger, Norbert & Gabriele Peters. (1997). Object Recognition with Banana Wavelets.. The European Symposium on Artificial Neural Networks. 61–66. 11 indexed citations
20.
Krüger, Norbert, et al.. (1996). Improving object recognition by transforming Gabor filter responses. Network Computation in Neural Systems. 7(2). 341–347. 22 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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