Nutan Chen
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in ⓘ
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- Robot Manipulation and Learning 6
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- Human Pose and Action Recognition 3
- Image Processing and 3D Reconstruction 1
- Co-authors
- Patrick van der Smagt (11 shared papers)Maximilian Karl (2 shared papers)Herke van Hoof (1 shared paper)Jan Peters (1 shared paper)Justin Bayer (4 shared papers)Benoni B. Edin (1 shared paper)Christian Osendorfer (1 shared paper)Göran Westling (1 shared paper)
- Journals
- Robotica (1 paper)The Astrophysical Journal Supplement Series (1 paper)Scientific Data (1 paper)The Astrophysical Journal (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Nutan Chen
13 papers receiving 168 citations
Peers
Comparison fields: 5 of 46
- Control and Systems Engineering 86
- Computer Vision and Pattern Recognition 50
- Artificial Intelligence 72
- Cognitive Neuroscience 29
- Health Informatics 2
Countries citing papers authored by Nutan Chen
This map shows the geographic impact of Nutan Chen'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 Nutan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nutan Chen more than expected).
Fields of papers citing papers by Nutan Chen
This network shows the impact of papers produced by Nutan Chen. 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 Nutan Chen. The network helps show where Nutan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nutan Chen, 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 | 2016 | 80 | |
| 2 | 2016 | 28 | |
| 3 | 2015 | 23 | |
| 4 | 2014 | 10 | |
| 5 | 2019 | 7 | |
| 6 | Metrics for Deep Generative Models | 2017 | 6 |
| 7 | 2015 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2012 | 3 | |
| 11 | 2024 | 3 | |
| 12 | Efficient Movement Representation and Prediction with Machine Learning | 2018 | 1 |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 |
About Nutan Chen
Nutan Chen is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction and Biomedical Engineering, having authored 15 papers that have together received 175 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Hand Gesture Recognition Systems (4 papers), Human Pose and Action Recognition (3 papers), Robotics and Sensor-Based Localization (2 papers), Reinforcement Learning in Robotics (2 papers), Muscle activation and electromyography studies (2 papers), Gamma-ray bursts and supernovae (2 papers) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Control and Systems Engineering (86 citations), Computer Vision and Pattern Recognition (50 citations), Artificial Intelligence (72 citations), Cognitive Neuroscience (29 citations) and Health Informatics (2 citations). Nutan Chen has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Patrick van der Smagt, Maximilian Karl, Herke van Hoof, Jan Peters, Justin Bayer, Benoni B. Edin, Christian Osendorfer, Göran Westling, Alexandros Paraschos and Qingqing Yu. Their work appears in journals such as Robotica, The Astrophysical Journal Supplement Series, Scientific Data, The Astrophysical Journal and Frontiers in Pharmacology.
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.