Stefan Wermter
Impact in
- Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Reinforcement Learning in Robotics
- Neural Networks and Applications
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
Papers in
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- Neural Networks and Applications 41
- Reinforcement Learning in Robotics 36
- Topic Modeling 29
- Natural Language Processing Techniques 25
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- Human Pose and Action Recognition 33
- Co-authors
- German I. ParisiChristopher KananRonald KemkerJose L. PartCornelius WeberPablo BarrosSven MaggMatthias Kerzel
- Journals
- Neurocomputing (11 papers)Neural Networks (8 papers)Frontiers in Neurorobotics (8 papers)Connection Science (5 papers)IEEE Transactions on Cognitive and Developmental Systems (5 papers)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Stefan Wermter
286 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 2.9k
- Computer Vision and Pattern Recognition 1.7k
- Human-Computer Interaction 302
- Experimental and Cognitive Psychology 588
- Health Informatics 60
Countries citing papers authored by Stefan Wermter
This map shows the geographic impact of Stefan Wermter'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 Stefan Wermter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Wermter more than expected).
Fields of papers citing papers by Stefan Wermter
This network shows the impact of papers produced by Stefan Wermter. 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 Stefan Wermter. The network helps show where Stefan Wermter may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Wermter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 11 | |
| 10 | A Personalized Affective Memory Model for Improving Emotion Recognition | 2019 | 15 |
| 11 | Continual lifelong learning with neural networks: A review Hit paper breakdown → | 2019 | 1665 |
| 12 | 2018 | 41 | |
| 13 | Learning objects from RGB-D sensors using point cloud-based neural networks. | 2015 | 2 |
| 14 | 2014 | 21 | |
| 15 | Self-organized neural learning of statistical inference from high-dimensional data | 2013 | 3 |
| 16 | 2001 | 2 | |
| 17 | Knowledge extraction from local function networks | 2001 | 11 |
| 18 | Network analysis in a neural learning internet agent | 2000 | 4 |
| 19 | Hybrid neural plausibility networks for news agents | 1999 | 18 |
| 20 | Integration of semantic and syntactic constraints for structural noun phrase disambiguation | 1989 | 9 |
About Stefan Wermter
Stefan Wermter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing and Cognitive Neuroscience, having authored 299 papers that have together received 5.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (49 papers), Neural Networks and Applications (41 papers), Reinforcement Learning in Robotics (36 papers), Human Pose and Action Recognition (33 papers), Speech and Audio Processing (31 papers), Topic Modeling (29 papers), Social Robot Interaction and HRI (28 papers) and Natural Language Processing Techniques (25 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Computer Vision and Pattern Recognition (1.7k citations), Human-Computer Interaction (302 citations), Experimental and Cognitive Psychology (588 citations) and Health Informatics (60 citations). Stefan Wermter has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include German I. Parisi, Christopher Kanan, Ronald Kemker, Jose L. Part, Cornelius Weber, Pablo Barros, Sven Magg, Matthias Kerzel, Kenneth McGarry and Stefan Heinrich. Their work appears in journals such as Neurocomputing, Neural Networks, Frontiers in Neurorobotics, Connection Science and IEEE Transactions on Cognitive and Developmental 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.