Dennis Park
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Papers in
-
- Advanced Vision and Imaging 4
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
- Human Pose and Action Recognition 2
- Surgery 1
- Co-authors
- Deva Ramanan (3 shared papers)Caroline Lemieux (1 shared paper)Ivan Beschastnikh (1 shared paper)C. Lawrence Zitnick (1 shared paper)Piotr Dollár (1 shared paper)Adrien Gaidon (3 shared papers)Samuel Chmell (1 shared paper)Simon Lee (1 shared paper)
- Journals
- The Journal of Knee Surgery (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Dennis Park
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 48
- Software 45
- Computer Vision and Pattern Recognition 191
- Human-Computer Interaction 19
- Artificial Intelligence 96
- Information Systems 51
Countries citing papers authored by Dennis Park
This map shows the geographic impact of Dennis Park'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 Dennis Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Park more than expected).
Fields of papers citing papers by Dennis Park
This network shows the impact of papers produced by Dennis Park. 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 Dennis Park. The network helps show where Dennis Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Dennis Park, 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 | 2015 | 88 | |
| 2 | 2013 | 79 | |
| 3 | 2011 | 76 | |
| 4 | 2015 | 23 | |
| 5 | 2018 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2010 | 6 | |
| 9 | Single-Shot Scene Reconstruction | 2021 | 5 |
| 10 | 2023 | 2 |
About Dennis Park
Dennis Park is a scholar working on Computer Vision and Pattern Recognition, Surgery, Control and Systems Engineering, Information Systems and Computational Mechanics, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Video Surveillance and Tracking Methods (2 papers), Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers), 3D Shape Modeling and Analysis (1 paper), Medical Imaging Techniques and Applications (1 paper), Robotics and Sensor-Based Localization (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Software (45 citations), Computer Vision and Pattern Recognition (191 citations), Human-Computer Interaction (19 citations), Artificial Intelligence (96 citations) and Information Systems (51 citations). Dennis Park has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Deva Ramanan, Caroline Lemieux, Ivan Beschastnikh, C. Lawrence Zitnick, Piotr Dollár, Adrien Gaidon, Samuel Chmell, Simon Lee, Rareş Ambruş and Joshua B. Tenenbaum. Their work appears in journals such as The Journal of Knee Surgery, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.