Cornelius Weber
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
Papers in
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- Reinforcement Learning in Robotics 18
- Topic Modeling 10
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- Multimodal Machine Learning Applications 11
- Human Pose and Action Recognition 8
- Co-authors
- Stefan Wermter (79 shared papers)Pablo Barros (8 shared papers)German I. Parisi (4 shared papers)Sven Magg (6 shared papers)Jochen Triesch (8 shared papers)Jun Tani (2 shared papers)Nicolás Navarro-Guerrero (5 shared papers)Francisco Cruz (4 shared papers)
- Journals
- Neurocomputing (5 papers)Neural Networks (5 papers)Frontiers in Neurorobotics (5 papers)IEEE Transactions on Cognitive and Developmental Systems (3 papers)Knowledge-Based Systems (3 papers)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Cornelius Weber
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Human-Computer Interaction 152
- Computer Vision and Pattern Recognition 457
- Artificial Intelligence 584
- Signal Processing 145
- Cognitive Neuroscience 248
Countries citing papers authored by Cornelius Weber
This map shows the geographic impact of Cornelius Weber'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 Cornelius Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelius Weber more than expected).
Fields of papers citing papers by Cornelius Weber
This network shows the impact of papers produced by Cornelius Weber. 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 Cornelius Weber. The network helps show where Cornelius Weber may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelius Weber, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | 2017 | 79 | |
| 3 | 2022 | 71 | |
| 4 | 2013 | 66 | |
| 5 | 2017 | 65 | |
| 6 | 2015 | 58 | |
| 7 | 2016 | 58 | |
| 8 | 2015 | 55 | |
| 9 | 2017 | 39 | |
| 10 | 2015 | 34 | |
| 11 | 2023 | 31 | |
| 12 | 2006 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2004 | 28 | |
| 15 | 2012 | 26 | |
| 16 | 2011 | 24 | |
| 17 | 2016 | 24 | |
| 18 | 2011 | 24 | |
| 19 | 2004 | 20 | |
| 20 | 2022 | 17 |
About Cornelius Weber
Cornelius Weber is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Control and Systems Engineering and Signal Processing, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (18 papers), Neural dynamics and brain function (17 papers), Robot Manipulation and Learning (14 papers), Speech and Audio Processing (12 papers), Multimodal Machine Learning Applications (11 papers), Topic Modeling (10 papers), Visual perception and processing mechanisms (8 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Human-Computer Interaction (152 citations), Computer Vision and Pattern Recognition (457 citations), Artificial Intelligence (584 citations), Signal Processing (145 citations) and Cognitive Neuroscience (248 citations). Cornelius Weber has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Stefan Wermter, Pablo Barros, German I. Parisi, Sven Magg, Jochen Triesch, Jun Tani, Nicolás Navarro-Guerrero, Francisco Cruz, Mark Elshaw and Doreen Jirak. Their work appears in journals such as Neurocomputing, Neural Networks, Frontiers in Neurorobotics, IEEE Transactions on Cognitive and Developmental Systems and Knowledge-Based Systems.
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.