Emre Aksan
Impact in
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
-
- Human Pose and Action Recognition 6
- Multimodal Machine Learning Applications 2
- Handwritten Text Recognition Techniques 2
-
- Human Motion and Animation 6
- Robot Manipulation and Learning 2
- Co-authors
- Otmar Hilliges (9 shared papers)Manuel Kaufmann (3 shared papers)Peng Cao (2 shared papers)Yinghao Huang (1 shared paper)Michael J. Black (1 shared paper)Partha Ghosh (1 shared paper)Gerard Pons‐Moll (1 shared paper)Jie Song (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)IEEE Robotics and Automation Letters (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Emre Aksan
13 papers receiving 571 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 449
- Human-Computer Interaction 103
- Control and Systems Engineering 279
- Physical Therapy, Sports Therapy and Rehabilitation 25
- Computational Mechanics 67
Countries citing papers authored by Emre Aksan
This map shows the geographic impact of Emre Aksan'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 Emre Aksan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Aksan more than expected).
Fields of papers citing papers by Emre Aksan
This network shows the impact of papers produced by Emre Aksan. 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 Emre Aksan. The network helps show where Emre Aksan may publish in the future.
Co-authors
The 23 scholars most cited alongside Emre Aksan, 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 | 2018 | 192 | |
| 2 | 2021 | 135 | |
| 3 | 2017 | 126 | |
| 4 | 2022 | 40 | |
| 5 | 2018 | 38 | |
| 6 | Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction | 2020 | 13 |
| 7 | 2022 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2014 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2014 | 1 |
About Emre Aksan
Emre Aksan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Cognitive Neuroscience and Computational Mechanics, having authored 13 papers that have together received 591 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Human Motion and Animation (6 papers), Hand Gesture Recognition Systems (2 papers), 3D Shape Modeling and Analysis (2 papers), Multimodal Machine Learning Applications (2 papers), Handwritten Text Recognition Techniques (2 papers), Robot Manipulation and Learning (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (449 citations), Human-Computer Interaction (103 citations), Control and Systems Engineering (279 citations), Physical Therapy, Sports Therapy and Rehabilitation (25 citations) and Computational Mechanics (67 citations). Emre Aksan has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Otmar Hilliges, Manuel Kaufmann, Peng Cao, Yinghao Huang, Michael J. Black, Partha Ghosh, Gerard Pons‐Moll, Jie Song, Fabrizio Pece and Muhammed Kocabas. Their work appears in journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Repository for Publications and Research Data (ETH Zurich).
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.