Jane Haslam

1.4k citations
6 papers · 667 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Jane Haslam

6 papers receiving 609 citations

Hit Papers

Use of active shape models for locating structures in medical images 1994 · 593 citations
5931994202620042015100200300400500

Peers

Jane Haslam
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 433
  • Orthopedics and Sports Medicine 59
  • Radiology, Nuclear Medicine and Imaging 138
  • Geometry and Topology 43
  • Biomedical Engineering 175
Replace Shireen Elhabian with:
Shireen Elhabian United States
S. Lobregt Netherlands
Hüseyin Tek United States
Nóra Baka Netherlands
P.E. Undrill United Kingdom
Conglin Lu United States
Alexander Tack Germany
Tobias Gass Switzerland
Rainer Sprengel Germany
Jérôme Schmid Switzerland
Jane Haslam relative to Shireen Elhabian United States Shireen Elhabian's profile →
Citations per field
00.5×1.5×2.0×
Shireen Elhabian · 1×
Citations per year

Countries citing papers authored by Jane Haslam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jane Haslam Line = papers co-authored together Jane Haslam links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Jane Haslam

Jane Haslam is a scholar working on Surgery, Orthopedics and Sports Medicine, Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 6 papers that have together received 667 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (3 papers), Medical Imaging and Analysis (3 papers), AI in cancer detection (2 papers), Medical Image Segmentation Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Hip and Femur Fractures (1 paper), Pelvic and Acetabular Injuries (1 paper) and Infectious Aortic and Vascular Conditions (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (433 citations), Orthopedics and Sports Medicine (59 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Geometry and Topology (43 citations) and Biomedical Engineering (175 citations). Jane Haslam has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include T.F. Cootes, Chris Taylor, Andrew Hill, M Horrocks, John Hardman, Elizabeth Barrett‐Connor, Joop P. van den Bergh, Peter Steiger, Robert van der Velde and Joes Staal. Their work appears in journals such as CardioVascular and Interventional Radiology, Image and Vision Computing, Bone, The Spine Journal and Spine.

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.

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