David Crandall
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 0.5%
Papers in
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- Advanced Image and Video Retrieval Techniques 31
- Video Surveillance and Tracking Methods 20
- Advanced Neural Network Applications 17
- Visual Attention and Saliency Detection 17
- Human Pose and Action Recognition 16
- Multimodal Machine Learning Applications 15
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- Domain Adaptation and Few-Shot Learning 14
- Co-authors
- Daniel P. Huttenlocher (7 shared papers)Jon Kleinberg (2 shared papers)Lars Bäckström (2 shared papers)Wenguan Wang (5 shared papers)Siddharth Suri (2 shared papers)Dan Cosley (2 shared papers)Apu Kapadia (15 shared papers)Xiankai Lu (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (7 papers)Cognitive Science (2 papers)ACM Transactions on Computer-Human Interaction (2 papers)Journal of Visualized Experiments (2 papers)IEEE Internet Computing (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
David Crandall
130 papers receiving 5.3k citations
David Crandall's Hit Papers
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 2.9k
- Human-Computer Interaction 476
- Transportation 502
- Geography, Planning and Development 228
- Statistical and Nonlinear Physics 490
Countries citing papers authored by David Crandall
This map shows the geographic impact of David Crandall'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 David Crandall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Crandall more than expected).
Fields of papers citing papers by David Crandall
This network shows the impact of papers produced by David Crandall. 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 David Crandall. The network helps show where David Crandall may publish in the future.
Co-authors
The 25 scholars most cited alongside David Crandall, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the world's photos Hit paper breakdown → | 2009 | 551 |
| 2 | 2008 | 417 | |
| 3 | 2010 | 321 | |
| 4 | 2015 | 248 | |
| 5 | 2019 | 225 | |
| 6 | 2011 | 208 | |
| 7 | 2005 | 176 | |
| 8 | 2009 | 168 | |
| 9 | A Survey on Deep Learning Technique for Video Segmentation Hit paper breakdown → | 2022 | 165 |
| 10 | 2014 | 151 | |
| 11 | 2012 | 122 | |
| 12 | 2020 | 122 | |
| 13 | 2020 | 122 | |
| 14 | 2021 | 116 | |
| 15 | 2018 | 115 | |
| 16 | 2017 | 114 | |
| 17 | 2019 | 101 | |
| 18 | 2015 | 99 | |
| 19 | 2015 | 96 | |
| 20 | 2021 | 75 |
About David Crandall
David Crandall is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Aerospace Engineering and Sociology and Political Science, having authored 135 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (31 papers), Video Surveillance and Tracking Methods (20 papers), Advanced Neural Network Applications (17 papers), Visual Attention and Saliency Detection (17 papers), Human Pose and Action Recognition (16 papers), Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Robotics and Sensor-Based Localization (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Human-Computer Interaction (476 citations), Transportation (502 citations), Geography, Planning and Development (228 citations) and Statistical and Nonlinear Physics (490 citations). David Crandall has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Daniel P. Huttenlocher, Jon Kleinberg, Lars Bäckström, Wenguan Wang, Siddharth Suri, Dan Cosley, Apu Kapadia, Xiankai Lu, D.P. Huttenlocher and Noah Snavely. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cognitive Science, ACM Transactions on Computer-Human Interaction, Journal of Visualized Experiments and IEEE Internet Computing.
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.