Jane Haslam

1.4k total citations · 1 hit paper
6 papers, 667 citations indexed

About

Jane Haslam is a scholar working on Surgery, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Jane Haslam has authored 6 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Orthopedics and Sports Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Jane Haslam's work include Medical Imaging and Analysis (3 papers), Bone health and osteoporosis research (3 papers) and Image Retrieval and Classification Techniques (2 papers). Jane Haslam is often cited by papers focused on Medical Imaging and Analysis (3 papers), Bone health and osteoporosis research (3 papers) and Image Retrieval and Classification Techniques (2 papers). Jane Haslam collaborates with scholars based in United Kingdom, Netherlands and Italy. Jane Haslam's co-authors include T.F. Cootes, Chris Taylor, Andrew Hill, John Hardman, M Horrocks, Elizabeth Barrett‐Connor, Dennis M. Black, Peter Steiger, Joes Staal and Eric Orwoll and has published in prestigious journals such as Spine, Bone and Image and Vision Computing.

In The Last Decade

Jane Haslam

6 papers receiving 609 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of active shape models for locating structures in medical images

1994 593 citations T.F. Cootes, Andrew Hill et al. Image and Vision Computing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jane Haslam United Kingdom	5	433	175	138	92	86	6	667
Shireen Elhabian United States	12	490 1.1×	116 0.7×	109 0.8×	116 1.3×	91 1.1×	93	805
Hüseyin Tek United States	14	569 1.3×	141 0.8×	188 1.4×	59 0.6×	67 0.8×	23	751
S. Lobregt Netherlands	9	414 1.0×	175 1.0×	236 1.7×	68 0.7×	73 0.8×	14	685
Tobias Gass Switzerland	11	175 0.4×	99 0.6×	153 1.1×	51 0.6×	74 0.9×	21	437
Charl P. Botha Netherlands	14	370 0.9×	93 0.5×	135 1.0×	95 1.0×	123 1.4×	62	715
P.E. Undrill United Kingdom	14	247 0.6×	92 0.5×	329 2.4×	117 1.3×	103 1.2×	35	697
Nóra Baka Netherlands	12	159 0.4×	219 1.3×	157 1.1×	28 0.3×	149 1.7×	21	457
Jacques Feldmar France	10	443 1.0×	129 0.7×	156 1.1×	25 0.3×	53 0.6×	15	619
Avan Suinesiaputra New Zealand	19	264 0.6×	242 1.4×	773 5.6×	77 0.8×	122 1.4×	60	1.3k
Michael Scheuering Germany	15	411 0.9×	339 1.9×	458 3.3×	80 0.9×	185 2.2×	24	898

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-authorship network of co-authors of Jane Haslam

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Haslam. A scholar is included among the top collaborators of Jane Haslam 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 Jane Haslam. Jane Haslam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Velde, Robert van der, Jane Haslam, Joes Staal, et al.. (2015). Performance of statistical models of shape and appearance for semiautomatic segmentations of spinal vertebrae T4–L4 on digitized vertebral fracture assessment images. The Spine Journal. 15(6). 1248–1254. 18 indexed citations

2.

Cawthon, Peggy M., Jane Haslam, Robin L. Fullman, et al.. (2014). Methods and reliability of radiographic vertebral fracture detection in older men: The osteoporotic fractures in men study. Bone. 67. 152–155. 26 indexed citations

3.

Guglielmi, Giuseppe, et al.. (2013). Comprehensive Vertebral Deformity and Vertebral Fracture Assessment in Clinical Practice. Spine. 38(26). E1676–E1683. 2 indexed citations

4.

Haslam, Jane, et al.. (2008). Customized Tapered Stent-Grafts in the Endovascular Management of Internal Iliac Artery Aneurysms: A Useful Adjunct to Conventional Endovascular Options. CardioVascular and Interventional Radiology. 32(1). 139–144. 11 indexed citations

5.

Cootes, T.F., Andrew Hill, Chris Taylor, & Jane Haslam. (1994). Use of active shape models for locating structures in medical images. Image and Vision Computing. 12(6). 355–365. 593 indexed citations breakdown →

6.

Haslam, Jane, Chris Taylor, & T.F. Cootes. (1994). A Probabilistic Fitness Measure for Deformable Template Models. 3.1–3.10. 17 indexed citations

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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