Christine J. Sandom
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing
- Information Systems
- Molecular Biology
- Topics
- Image Retrieval and Classification Techniques (8 papers)Advanced Image and Video Retrieval Techniques (7 papers)Video Analysis and Summarization (4 papers)
- Journals
- Journal of DocumentationePrints Soton (University of Southampton)University of Brighton Repository (University of Brighton)
- Partner nations
- United Kingdom
In The Last Decade
Christine J. Sandom
7 papers receiving 185 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 186
- Artificial Intelligence 48
- Signal Processing 24
- Information Systems 20
- Molecular Biology 19
Countries citing papers authored by Christine J. Sandom
This map shows the geographic impact of Christine J. Sandom'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 Christine J. Sandom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine J. Sandom more than expected).
Fields of papers citing papers by Christine J. Sandom
This network shows the impact of papers produced by Christine J. Sandom. 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 Christine J. Sandom. The network helps show where Christine J. Sandom may publish in the future.
Co-authorship network of co-authors of Christine J. Sandom
This figure shows the co-authorship network connecting the top 25 collaborators of Christine J. Sandom. A scholar is included among the top collaborators of Christine J. Sandom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine J. Sandom. Christine J. Sandom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 47 | |
| 3 | 98 | |
| 4 | Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches | 34 |
| 5 | The Reality of the Semantic Gap in Image Retrieval | 2 |
| 6 | Surveying the reality of semantic image retrieval | 1 |
| 7 | Archival moving imagery in the digital environment | 3 |
| 8 | VIRAMI: visual information retrieval for archival moving imagery | 11 |
About Christine J. Sandom
Christine J. Sandom is a scholar working on Computer Vision and Pattern Recognition, Geology and Molecular Biology, having authored 8 papers that have together received 209 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Signal Processing (24 citations) and Media Technology (15 citations). Christine J. Sandom has collaborated with scholars based in United Kingdom. Frequent co-authors include Peter Enser, Paul Lewis, Jonathon Hare, Patrick Sinclair and Kirk Martinez. Their work appears in journals such as Journal of Documentation, ePrints Soton (University of Southampton) and University of Brighton Repository (University of Brighton).
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.