Stefan Elfwing
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- AI in cancer detection
Papers in
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- Reinforcement Learning in Robotics 12
- Evolutionary Algorithms and Applications 7
- Metaheuristic Optimization Algorithms Research 3
- AI in cancer detection 3
- Neural Networks and Applications 2
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- Neural dynamics and brain function 2
- Co-authors
- Eiji Uchibe (12 shared papers)Kenji Doya (11 shared papers)Henrik I. Christensen (5 shared papers)Ben Seymour (1 shared paper)Geert Litjens (1 shared paper)Jasper Linmans (1 shared paper)Jeroen van der Laak (1 shared paper)John Öhrvik (1 shared paper)
- Journals
- Neural Networks (4 papers)Adaptive Behavior (2 papers)Laboratory Investigation (1 paper)Frontiers in Neurorobotics (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- JapanSwedenUnited States
In The Last Decade
Stefan Elfwing
18 papers receiving 1.4k citations
Stefan Elfwing's Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 514
- Artificial Intelligence 456
- Industrial and Manufacturing Engineering 100
- Media Technology 82
- Signal Processing 52
Countries citing papers authored by Stefan Elfwing
This map shows the geographic impact of Stefan Elfwing'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 Elfwing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Elfwing more than expected).
Fields of papers citing papers by Stefan Elfwing
This network shows the impact of papers produced by Stefan Elfwing. 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 Elfwing. The network helps show where Stefan Elfwing may publish in the future.
Co-authors
The 13 scholars most cited alongside Stefan Elfwing, 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 | Sigmoid-weighted linear units for neural network function approximation in reinforcement learning Hit paper breakdown → | 2018 | 1142 |
| 2 | 2020 | 40 | |
| 3 | 2022 | 36 | |
| 4 | 2014 | 25 | |
| 5 | 2005 | 22 | |
| 6 | 2017 | 19 | |
| 7 | 2008 | 17 | |
| 8 | 2011 | 15 | |
| 9 | 2007 | 15 | |
| 10 | 2018 | 11 | |
| 11 | 2005 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2018 | 7 | |
| 16 | Embodied Evolution of Learning Ability | 2007 | 7 |
| 17 | 2014 | 6 | |
| 18 | 2023 | 3 |
About Stefan Elfwing
Stefan Elfwing is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (12 papers), Evolutionary Algorithms and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), AI in cancer detection (3 papers), Neural dynamics and brain function (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (514 citations), Artificial Intelligence (456 citations), Industrial and Manufacturing Engineering (100 citations), Media Technology (82 citations) and Signal Processing (52 citations). Stefan Elfwing has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Eiji Uchibe, Kenji Doya, Henrik I. Christensen, Ben Seymour, Geert Litjens, Jasper Linmans, Jeroen van der Laak, John Öhrvik, Maziar Nikberg and Anil V. Parwani. Their work appears in journals such as Neural Networks, Adaptive Behavior, Laboratory Investigation, Frontiers in Neurorobotics and Medical Image Analysis.
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.