Jane Haslam
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Image Retrieval and Classification Techniques 4
- Medical Image Segmentation Techniques 4
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- Bone health and osteoporosis research 1
- Co-authors
- Chris Taylor (4 shared papers)Tim F Cootes (3 shared papers)Andrew Hill (3 shared papers)John Ashburner (1 shared paper)Vincent J. Cunningham (1 shared paper)Terry Jones (1 shared paper)Robin L. Fullman (2 shared papers)John T. Schousboe (2 shared papers)
- Journals
- Bone (2 papers)The Spine Journal (1 paper)Spine (1 paper)Image and Vision Computing (1 paper)CardioVascular and Interventional Radiology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Jane Haslam
10 papers receiving 939 citations
Jane Haslam's Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 645
- Radiology, Nuclear Medicine and Imaging 212
- Orthopedics and Sports Medicine 58
- Geometry and Topology 64
- Computer Graphics and Computer-Aided Design 21
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 25 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 | 727 |
| 2 | 2005 | 141 | |
| 3 | 1996 | 52 | |
| 4 | 2014 | 33 | |
| 5 | 2015 | 19 | |
| 6 | 1994 | 17 | |
| 7 | 1995 | 12 | |
| 8 | 2008 | 11 | |
| 9 | 2013 | 4 | |
| 10 | 2014 | 1 |
About Jane Haslam
Jane Haslam is a scholar working on Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), AI in cancer detection (3 papers), Medical Imaging and Analysis (2 papers), Medical Imaging Techniques and Applications (2 papers), Infectious Aortic and Vascular Conditions (1 paper), Bone health and osteoporosis research (1 paper) and Pelvic and Acetabular Injuries (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Orthopedics and Sports Medicine (58 citations), Geometry and Topology (64 citations) and Computer Graphics and Computer-Aided Design (21 citations). Jane Haslam has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Chris Taylor, Tim F Cootes, Andrew Hill, John Ashburner, Vincent J. Cunningham, Terry Jones, Robin L. Fullman, John T. Schousboe, Dennis M. Black and Kristine E. Ensrud. Their work appears in journals such as Bone, The Spine Journal, Spine, Image and Vision Computing and CardioVascular and Interventional Radiology.
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.