Daniel Holden
Impact in
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Vision and Imaging
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- Human Motion and Animation
Papers in
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- Human Pose and Action Recognition 13
- Video Analysis and Summarization 10
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- Human Motion and Animation 15
- Co-authors
- Taku Komura (10 shared papers)Jun Saito (6 shared papers)T. A. Joyce (1 shared paper)Ikhsanul Habibie (2 shared papers)James Richard Forbes (1 shared paper)Yiyun Huang (14 shared papers)Richard E. Carson (16 shared papers)Tiberiu Popa (2 shared papers)
- Journals
- ACM Transactions on Graphics (6 papers)Journal of Nuclear Medicine (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)ACS Chemical Neuroscience (1 paper)The Visual Computer (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Holden
42 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.3k
- Control and Systems Engineering 1.2k
- Human-Computer Interaction 135
- Computer Graphics and Computer-Aided Design 56
- Computational Mechanics 214
Countries citing papers authored by Daniel Holden
This map shows the geographic impact of Daniel Holden'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 Daniel Holden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Holden more than expected).
Fields of papers citing papers by Daniel Holden
This network shows the impact of papers produced by Daniel Holden. 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 Daniel Holden. The network helps show where Daniel Holden may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Holden, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep learning framework for character motion synthesis and editing Hit paper breakdown → | 2016 | 393 |
| 2 | Phase-functioned neural networks for character control Hit paper breakdown → | 2017 | 328 |
| 3 | 2015 | 176 | |
| 4 | 2019 | 131 | |
| 5 | 2015 | 123 | |
| 6 | 2016 | 99 | |
| 7 | 2017 | 93 | |
| 8 | 2020 | 81 | |
| 9 | 2018 | 76 | |
| 10 | 2017 | 57 | |
| 11 | 2019 | 53 | |
| 12 | 2022 | 50 | |
| 13 | 2023 | 49 | |
| 14 | 2021 | 37 | |
| 15 | 2021 | 33 | |
| 16 | 1989 | 28 | |
| 17 | 2017 | 27 | |
| 18 | 2021 | 21 | |
| 19 | 2015 | 21 | |
| 20 | 2019 | 14 |
About Daniel Holden
Daniel Holden is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Molecular Biology, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Human Motion and Animation (15 papers), Human Pose and Action Recognition (13 papers), Medical Imaging Techniques and Applications (10 papers), Video Analysis and Summarization (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Glioma Diagnosis and Treatment (4 papers), Epilepsy research and treatment (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Control and Systems Engineering (1.2k citations), Human-Computer Interaction (135 citations), Computer Graphics and Computer-Aided Design (56 citations) and Computational Mechanics (214 citations). Daniel Holden has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Taku Komura, Jun Saito, T. A. Joyce, Ikhsanul Habibie, James Richard Forbes, Yiyun Huang, Richard E. Carson, Tiberiu Popa, Oussama Kanoun and Jonathan Schwarz. Their work appears in journals such as ACM Transactions on Graphics, Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, ACS Chemical Neuroscience and The Visual Computer.
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.