David Squire
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Image Retrieval and Classification Techniques 27
- Advanced Image and Video Retrieval Techniques 18
- Video Analysis and Summarization 8
- Image and Signal Denoising Methods 3
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- Blind Source Separation Techniques 4
- Data Management and Algorithms 4
- Music and Audio Processing 4
- Co-authors
- Thierry Pun (20 shared papers)Henning Müller (14 shared papers)Wolfgang Müller (13 shared papers)Stéphane Marchand‐Maillet (12 shared papers)Terry Caelli (2 shared papers)Constant J. Mews (1 shared paper)Laurence Bull (2 shared papers)Wolfgang Müller (4 shared papers)
- Journals
- Pattern Recognition Letters (3 papers)Neural Networks (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Computer Vision (1 paper)International Journal on Digital Libraries (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
David Squire
39 papers receiving 806 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 740
- Media Technology 67
- Signal Processing 69
- Artificial Intelligence 158
- Information Systems 57
Countries citing papers authored by David Squire
This map shows the geographic impact of David Squire'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 Squire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Squire more than expected).
Fields of papers citing papers by David Squire
This network shows the impact of papers produced by David Squire. 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 Squire. The network helps show where David Squire may publish in the future.
Co-authors
The 25 scholars most cited alongside David Squire, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 366 | |
| 2 | 2000 | 107 | |
| 3 | 2002 | 64 | |
| 4 | 2003 | 42 | |
| 5 | 2015 | 41 | |
| 6 | 2001 | 24 | |
| 7 | 2003 | 21 | |
| 8 | 1993 | 18 | |
| 9 | 1999 | 18 | |
| 10 | 2000 | 17 | |
| 11 | 2002 | 17 | |
| 12 | 2003 | 14 | |
| 13 | 2003 | 13 | |
| 14 | 1998 | 13 | |
| 15 | 1999 | 10 | |
| 16 | Long-Term Learning from User Behavior in Content-Based Image Retrieval | 2000 | 9 |
| 17 | 2021 | 9 | |
| 18 | 2004 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 1996 | 9 |
About David Squire
David Squire is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Media Technology, having authored 42 papers that have together received 899 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (27 papers), Advanced Image and Video Retrieval Techniques (18 papers), Video Analysis and Summarization (8 papers), Blind Source Separation Techniques (4 papers), Data Management and Algorithms (4 papers), Music and Audio Processing (4 papers), Data Mining Algorithms and Applications (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (740 citations), Media Technology (67 citations), Signal Processing (69 citations), Artificial Intelligence (158 citations) and Information Systems (57 citations). David Squire has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Thierry Pun, Henning Müller, Wolfgang Müller, Stéphane Marchand‐Maillet, Terry Caelli, Constant J. Mews, Laurence Bull, Wolfgang Müller, Nayyar A. Zaidi and Nabeel Mohammed. Their work appears in journals such as Pattern Recognition Letters, Neural Networks, Multimedia Tools and Applications, International Journal of Computer Vision and International Journal on Digital Libraries.
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.