Bernhard Hengst

534 total citations
19 papers, 183 citations indexed

About

Bernhard Hengst is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bernhard Hengst has authored 19 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bernhard Hengst's work include Reinforcement Learning in Robotics (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotic Locomotion and Control (4 papers). Bernhard Hengst is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotic Locomotion and Control (4 papers). Bernhard Hengst collaborates with scholars based in Australia, Germany and United States. Bernhard Hengst's co-authors include Claude Sammut, Raymond Sheh, Mohammed Waleed Kadous, William Uther, Chen Cai, Adam B. Milstein, Matthew J. McGill, Yang Wang, Maurice Pagnucco and Albert J. Chang and has published in prestigious journals such as Robotics and Autonomous Systems, UNSWorks (UNSW Sydney) and International Conference on Machine Learning.

In The Last Decade

Bernhard Hengst

17 papers receiving 163 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernhard Hengst Australia 7 127 36 29 23 20 19 183
Bastian Bischoff Germany 8 125 1.0× 39 1.1× 43 1.5× 19 0.8× 9 0.5× 11 184
Vitchyr H. Pong Germany 4 91 0.7× 40 1.1× 36 1.2× 6 0.3× 13 0.7× 4 135
William Uther Australia 6 122 1.0× 21 0.6× 29 1.0× 18 0.8× 34 1.7× 9 183
Scott Fujimoto Canada 3 114 0.9× 51 1.4× 36 1.2× 16 0.7× 13 0.7× 6 191
Torsten Koller Germany 4 85 0.7× 136 3.8× 27 0.9× 9 0.4× 8 0.4× 6 205
Jonathan Styrud Sweden 6 124 1.0× 87 2.4× 41 1.4× 13 0.6× 12 0.6× 9 224
Tim Niemueller Germany 7 88 0.7× 79 2.2× 63 2.2× 21 0.9× 14 0.7× 12 187
Bradly C. Stadie United States 5 124 1.0× 65 1.8× 57 2.0× 7 0.3× 13 0.7× 9 177
Humbert Fiorino France 8 121 1.0× 52 1.4× 32 1.1× 7 0.3× 13 0.7× 26 204
Matteo Iovino Sweden 6 138 1.1× 68 1.9× 42 1.4× 14 0.6× 10 0.5× 9 211

Countries citing papers authored by Bernhard Hengst

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Hengst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Hengst

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

All Works

19 of 19 papers shown
1.
Clark, Keith, et al.. (2016). A framework for integrating symbolic and sub-symbolic representations. Queensland's institutional digital repository (The University of Queensland). 2486–2492. 1 indexed citations
2.
Hengst, Bernhard, et al.. (2015). Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning.. National Conference on Artificial Intelligence. 1 indexed citations
3.
Anderson, Peter, et al.. (2013). An ICP inspired inverse sensor model with unknown data association. 2713–2718.
4.
5.
Anderson, Peter, et al.. (2012). Robocup Standard Platform League - rUNSWift 2012 Innovations. 1 indexed citations
6.
Sheh, Raymond, Bernhard Hengst, & Claude Sammut. (2011). Behavioural cloning for driving robots over rough terrain. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 732–737. 6 indexed citations
7.
Sheh, Raymond, Bernhard Hengst, & Claude Sammut. (2011). Behavioural cloning for driving robots over rough terrain. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
8.
Hengst, Bernhard, et al.. (2011). Learning ankle-tilt and foot-placement control for flat-footed bipedal balancing and walking. 288–293. 9 indexed citations
9.
Tyler, Paul, et al.. (2009). Enhanced Roundabout Metering. 1 indexed citations
10.
Sheh, Raymond, et al.. (2009). Semi-Autonomous Robots for RoboCupRescue. 3 indexed citations
11.
Hengst, Bernhard, et al.. (2009). Kalman filter process models for urban vehicle tracking. 1–8. 9 indexed citations
12.
Cai, Chen, et al.. (2009). On the performance of adaptive traffic signal control. 37–42. 7 indexed citations
13.
Sheh, Raymond, Mohammed Waleed Kadous, Claude Sammut, & Bernhard Hengst. (2007). Extracting Terrain Features from Range Images for Autonomous Random Stepfield Traversal. 5249. 1–6. 15 indexed citations
14.
Hengst, Bernhard, et al.. (2004). Concurrent Discovery of Task Hierarchies. 3 indexed citations
15.
Hengst, Bernhard, et al.. (2004). Discovering multiple levels of a task hierarchy concurrently. Robotics and Autonomous Systems. 49(1-2). 43–55. 2 indexed citations
16.
Wang, David, Benjamin Leung, James F. Brooks, et al.. (2003). The UNSW RoboCup 2002 Legged League Team. 4 indexed citations
17.
Hengst, Bernhard. (2003). Discovering hierarchy in reinforcement learning. UNSWorks (UNSW Sydney). 7 indexed citations
18.
Chen, Jin, Eric S. Chung, Ross Edwards, et al.. (2003). A Description of the rUNSWift 2003 Legged Robot Soccer Team. 3 indexed citations
19.
Hengst, Bernhard. (2002). Discovering Hierarchy in Reinforcement Learning with HEXQ. International Conference on Machine Learning. 243–250. 110 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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