Aleš Ude
Impact in
- Control and Systems Engineering top 0.2%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 1%
Papers in
-
- Robot Manipulation and Learning 131
- Robotic Mechanisms and Dynamics 21
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- Human Pose and Action Recognition 34
- Advanced Vision and Imaging 19
- Co-authors
- Bojan Nemec (61 shared papers)Andrej Gams (51 shared papers)Jun Morimoto (20 shared papers)Tamim Asfour (22 shared papers)Christopher G. Atkeson (12 shared papers)Tadej Petrič (20 shared papers)Marcia Riley (8 shared papers)Gordon Cheng (16 shared papers)
In The Last Decade
Aleš Ude
186 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 111
- Control and Systems Engineering 3.0k
- Human-Computer Interaction 342
- Computer Vision and Pattern Recognition 1.2k
- Biomedical Engineering 1.7k
- Industrial and Manufacturing Engineering 386
Countries citing papers authored by Aleš Ude
This map shows the geographic impact of Aleš Ude'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 Aleš Ude with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleš Ude more than expected).
Fields of papers citing papers by Aleš Ude
This network shows the impact of papers produced by Aleš Ude. 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 Aleš Ude. The network helps show where Aleš Ude may publish in the future.
Co-authors
The 25 scholars most cited alongside Aleš Ude, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 272 | |
| 2 | 2000 | 201 | |
| 3 | 2007 | 161 | |
| 4 | 2014 | 157 | |
| 5 | 2014 | 146 | |
| 6 | 2016 | 133 | |
| 7 | 2004 | 121 | |
| 8 | 2007 | 114 | |
| 9 | 2011 | 112 | |
| 10 | 2015 | 108 | |
| 11 | 2008 | 80 | |
| 12 | 2012 | 74 | |
| 13 | 2010 | 74 | |
| 14 | 2011 | 68 | |
| 15 | 2015 | 63 | |
| 16 | 2004 | 61 | |
| 17 | 2014 | 60 | |
| 18 | 2002 | 58 | |
| 19 | 2006 | 53 | |
| 20 | 2013 | 51 |
About Aleš Ude
Aleš Ude is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 193 papers that have together received 4.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (131 papers), Human Pose and Action Recognition (34 papers), Robotic Locomotion and Control (33 papers), Reinforcement Learning in Robotics (27 papers), Robotics and Sensor-Based Localization (24 papers), Manufacturing Process and Optimization (22 papers), Robotic Mechanisms and Dynamics (21 papers) and Advanced Vision and Imaging (19 papers). The work is most often cited by research in Control and Systems Engineering (3.0k citations), Human-Computer Interaction (342 citations), Computer Vision and Pattern Recognition (1.2k citations), Biomedical Engineering (1.7k citations) and Industrial and Manufacturing Engineering (386 citations). Aleš Ude has collaborated with scholars based in Slovenia, Germany and Japan. Frequent co-authors include Bojan Nemec, Andrej Gams, Jun Morimoto, Tamim Asfour, Christopher G. Atkeson, Tadej Petrič, Marcia Riley, Gordon Cheng, Norbert Krüger and Rüdiger Dillmann. Their work appears in journals such as Robotics and Autonomous Systems, Advanced Robotics, IEEE Transactions on Robotics, Robotica and Robotics and Computer-Integrated Manufacturing.
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.