Georgios Pavlakos
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- Human Pose and Action Recognition 19
- Advanced Vision and Imaging 10
- Video Surveillance and Tracking Methods 7
- Image and Object Detection Techniques 3
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems 4
- Computational Mechanics top 2%
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- Human Motion and Animation 3
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- Gait Recognition and Analysis 5
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Kostas DaniilidisXiaowei ZhouKonstantinos G. DerpanisLuyang ZhuAngjoo KanazawaJitendra MalikAaron ChanNikos Kolotouros
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Robotics and Automation Letters (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Georgios Pavlakos
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 1.7k
- Human-Computer Interaction 354
- Computational Mechanics 447
- Computer Graphics and Computer-Aided Design 66
- Control and Systems Engineering 365
Countries citing papers authored by Georgios Pavlakos
This map shows the geographic impact of Georgios Pavlakos'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 Georgios Pavlakos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios Pavlakos more than expected).
Fields of papers citing papers by Georgios Pavlakos
This network shows the impact of papers produced by Georgios Pavlakos. 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 Georgios Pavlakos. The network helps show where Georgios Pavlakos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Georgios Pavlakos, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 29 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 29 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 73 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 31 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 26 | |
| 13 | 2020 | 24 | |
| 14 | 2020 | 103 | |
| 15 | Learning to Estimate 3D Human Pose and Shape from a Single Color Imagebreakdown → | 2018 | 355 |
| 16 | 2018 | 241 | |
| 17 | Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Posebreakdown → | 2017 | 500 |
| 18 | 2017 | 227 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 10 |
About Georgios Pavlakos
Georgios Pavlakos is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (19 papers), Advanced Vision and Imaging (10 papers), Video Surveillance and Tracking Methods (7 papers), Gait Recognition and Analysis (5 papers), Robotics and Sensor-Based Localization (4 papers), Hand Gesture Recognition Systems (4 papers), Image and Object Detection Techniques (3 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Human-Computer Interaction (354 citations) and Computational Mechanics (447 citations). Georgios Pavlakos has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kostas Daniilidis, Xiaowei Zhou, Konstantinos G. Derpanis, Luyang Zhu, Angjoo Kanazawa, Jitendra Malik, Aaron Chan, Nikos Kolotouros, Jathushan Rajasegaran and Wen Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.