Hannah Dee
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Face and Expression Recognition
- Advanced Vision and Imaging
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Video Surveillance and Tracking Methods 9
- Human Pose and Action Recognition 7
- Advanced Image and Video Retrieval Techniques 5
- Image Retrieval and Classification Techniques 3
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- Teaching and Learning Programming 5
- Co-authors
- Sergio A. Velastín (1 shared paper)David Hogg (6 shared papers)Alice Caplier (2 shared papers)Paulo Eduardo Santos (4 shared papers)Roger D. Boyle (5 shared papers)Tony Pridmore (1 shared paper)David Rousseau (1 shared paper)Anthony G. Cohn (3 shared papers)
- Journals
- Artificial Intelligence (1 paper)Skin Research and Technology (1 paper)Pattern Recognition (1 paper)Machine Vision and Applications (1 paper)Functional Plant Biology (1 paper)
- Partner nations
- United KingdomFranceBrazil
In The Last Decade
Hannah Dee
35 papers receiving 475 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 321
- Artificial Intelligence 183
- Signal Processing 56
- Computer Science Applications 20
- Transportation 16
Countries citing papers authored by Hannah Dee
This map shows the geographic impact of Hannah Dee'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 Hannah Dee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Dee more than expected).
Fields of papers citing papers by Hannah Dee
This network shows the impact of papers produced by Hannah Dee. 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 Hannah Dee. The network helps show where Hannah Dee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah Dee, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 133 | |
| 2 | 2004 | 78 | |
| 3 | 2012 | 57 | |
| 4 | 2016 | 31 | |
| 5 | 2011 | 31 | |
| 6 | 2010 | 26 | |
| 7 | 2015 | 17 | |
| 8 | 2008 | 13 | |
| 9 | 2006 | 9 | |
| 10 | 2012 | 9 | |
| 11 | 2009 | 8 | |
| 12 | 2009 | 8 | |
| 13 | 2009 | 8 | |
| 14 | 2015 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2009 | 7 | |
| 17 | 2011 | 5 | |
| 18 | Women in Tech: A practical guide to increasing gender diversity and inclusion | 2021 | 5 |
| 19 | 2020 | 5 | |
| 20 | 2012 | 4 |
About Hannah Dee
Hannah Dee is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications, Gender Studies, Aerospace Engineering and Artificial Intelligence, having authored 36 papers that have together received 502 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (7 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Teaching and Learning Programming (5 papers), Gender and Technology in Education (4 papers), Image Retrieval and Classification Techniques (3 papers) and Leaf Properties and Growth Measurement (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (321 citations), Artificial Intelligence (183 citations), Signal Processing (56 citations), Computer Science Applications (20 citations) and Transportation (16 citations). Hannah Dee has collaborated with scholars based in United Kingdom, France and Brazil. Frequent co-authors include Sergio A. Velastín, David Hogg, Alice Caplier, Paulo Eduardo Santos, Roger D. Boyle, Tony Pridmore, David Rousseau, Anthony G. Cohn, Andrew P. French and Bernard Tiddeman. Their work appears in journals such as Artificial Intelligence, Skin Research and Technology, Pattern Recognition, Machine Vision and Applications and Functional Plant Biology.
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.