Darrell
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Magnetic Bearings and Levitation Dynamics 1
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- Human Pose and Action Recognition 2
- Advanced Vision and Imaging 2
- Multimodal Machine Learning Applications 1
- Co-authors
- Ko (1 shared paper)○ Mark (1 shared paper)Herman Herman (1 shared paper)Liu (1 shared paper)Scott (1 shared paper)David Mba (1 shared paper)Parker (1 shared paper)
- Journals
- Institutional Repository, Hitotsubashi University (Hitotsubashi University) (1 paper)通讯和计算机：中英文版 (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
Darrell
6 papers receiving 636 citations
Darrell's Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 632
- Human-Computer Interaction 104
- Artificial Intelligence 119
- Control and Systems Engineering 75
- Signal Processing 28
Countries citing papers authored by Darrell
This map shows the geographic impact of Darrell'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 Darrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell more than expected).
Fields of papers citing papers by Darrell
This network shows the impact of papers produced by Darrell. 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 Darrell. The network helps show where Darrell may publish in the future.
Co-authors
The 7 scholars most cited alongside Darrell, 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 | Fast pose estimation with parameter-sensitive hashing Hit paper breakdown → | 2003 | 505 |
| 2 | 2003 | 124 | |
| 3 | 2003 | 44 | |
| 4 | 2000 | 7 | |
| 5 | Magnetic Stress Gages for Torque and Load Monitoring in Rotorcraft | 2008 | 2 |
| 6 | Implementation of Kalman Filter on PSoC-5 Microcontroller for Mobile Robot Localization | 2014 | 1 |
| 7 | 2002 | 1 |
About Darrell
Darrell is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Signal Processing, having authored 7 papers that have together received 684 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (2 papers), Human Pose and Action Recognition (2 papers), Advanced Vision and Imaging (2 papers), Speech and Audio Processing (1 paper), Magnetic Bearings and Levitation Dynamics (1 paper), Robotics and Sensor-Based Localization (1 paper), Multimodal Machine Learning Applications (1 paper) and Sensor Technology and Measurement Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (632 citations), Human-Computer Interaction (104 citations), Artificial Intelligence (119 citations), Control and Systems Engineering (75 citations) and Signal Processing (28 citations). Darrell has collaborated with scholars based in United States. Frequent co-authors include Ko, ○ Mark, Herman Herman, Liu, Scott, David Mba and Parker. Their work appears in journals such as Institutional Repository, Hitotsubashi University (Hitotsubashi University), 通讯和计算机：中英文版 and DSpace@MIT (Massachusetts Institute of Technology).
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.