Jane Haslam
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Face recognition and analysis
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- Medical Imaging Techniques and Applications
Papers in
- Surgery 2
- Infectious Aortic and Vascular Conditions 1
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- Medical Image Segmentation Techniques 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- T.F. Cootes (2 shared papers)Chris Taylor (2 shared papers)Andrew Hill (1 shared paper)M Horrocks (1 shared paper)John Hardman (1 shared paper)Alan Brett (1 shared paper)Kristine E. Ensrud (1 shared paper)Joes Staal (1 shared paper)
- Journals
- CardioVascular and Interventional Radiology (1 paper)Bone (1 paper)Image and Vision Computing (1 paper)Spine (1 paper)The Spine Journal (1 paper)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Jane Haslam
6 papers receiving 614 citations
Jane Haslam's Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 411
- Radiology, Nuclear Medicine and Imaging 122
- Orthopedics and Sports Medicine 45
- Geometry and Topology 43
- Computer Graphics and Computer-Aided Design 12
Countries citing papers authored by Jane Haslam
This map shows the geographic impact of Jane Haslam'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 Jane Haslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Haslam more than expected).
Fields of papers citing papers by Jane Haslam
This network shows the impact of papers produced by Jane Haslam. 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 Jane Haslam. The network helps show where Jane Haslam may publish in the future.
Co-authors
The 24 scholars most cited alongside Jane Haslam, 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 | Use of active shape models for locating structures in medical images Hit paper breakdown → | 1994 | 595 |
| 2 | 2014 | 27 | |
| 3 | 2015 | 19 | |
| 4 | 1994 | 17 | |
| 5 | 2008 | 11 | |
| 6 | 2013 | 3 |
About Jane Haslam
Jane Haslam is a scholar working on Surgery, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 672 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Medical Imaging and Analysis (2 papers), AI in cancer detection (2 papers), Bone health and osteoporosis research (1 paper), Vascular Procedures and Complications (1 paper), Aortic aneurysm repair treatments (1 paper) and Infectious Aortic and Vascular Conditions (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Orthopedics and Sports Medicine (45 citations), Geometry and Topology (43 citations) and Computer Graphics and Computer-Aided Design (12 citations). Jane Haslam has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include T.F. Cootes, Chris Taylor, Andrew Hill, M Horrocks, John Hardman, Alan Brett, Kristine E. Ensrud, Joes Staal, Robin L. Fullman and Peggy M. Cawthon. Their work appears in journals such as CardioVascular and Interventional Radiology, Bone, Image and Vision Computing, Spine and The Spine Journal.
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.