Fabian Manhardt
Impact in
-
- Human Pose and Action Recognition
- Image and Object Detection Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
-
- Robot Manipulation and Learning
Papers in
-
- Human Pose and Action Recognition 7
- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 3
-
- Robot Manipulation and Learning 10
- Co-authors
- Federico Tombari (20 shared papers)Xiangyang Ji (6 shared papers)Gu Wang (3 shared papers)Nassir Navab (9 shared papers)Yan Di (10 shared papers)Marie‐Julie Rakotosaona (3 shared papers)Ruida Zhang (6 shared papers)Benjamin Busam (7 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Computer Vision and Image Understanding (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Fabian Manhardt
24 papers receiving 796 citations
Fabian Manhardt's Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 521
- Control and Systems Engineering 431
- Computer Graphics and Computer-Aided Design 61
- Human-Computer Interaction 75
- Aerospace Engineering 303
Countries citing papers authored by Fabian Manhardt
This map shows the geographic impact of Fabian Manhardt'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 Fabian Manhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Manhardt more than expected).
Fields of papers citing papers by Fabian Manhardt
This network shows the impact of papers produced by Fabian Manhardt. 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 Fabian Manhardt. The network helps show where Fabian Manhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabian Manhardt, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation Hit paper breakdown → | 2021 | 263 |
| 2 | 2021 | 101 | |
| 3 | 2022 | 86 | |
| 4 | 2023 | 61 | |
| 5 | 2015 | 61 | |
| 6 | 2024 | 35 | |
| 7 | 2024 | 27 | |
| 8 | 2023 | 26 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2024 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2025 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 4 |
About Fabian Manhardt
Fabian Manhardt is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Computational Mechanics and Biomedical Engineering, having authored 24 papers that have together received 813 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (11 papers), Robot Manipulation and Learning (10 papers), Human Pose and Action Recognition (7 papers), 3D Shape Modeling and Analysis (5 papers), Soft Robotics and Applications (4 papers), Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (521 citations), Control and Systems Engineering (431 citations), Computer Graphics and Computer-Aided Design (61 citations), Human-Computer Interaction (75 citations) and Aerospace Engineering (303 citations). Fabian Manhardt has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Federico Tombari, Xiangyang Ji, Gu Wang, Nassir Navab, Yan Di, Marie‐Julie Rakotosaona, Ruida Zhang, Benjamin Busam, Prune Truong and Michael Niemeyer. Their work appears in journals such as IEEE Robotics and Automation Letters, Computer Vision and Image Understanding, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.