M. Stella Atkins

4.8k citations
135 papers · 3.3k indexed · h-index 28

M. Stella Atkins

124 papers receiving 3.1k citations

Peers

M. Stella Atkins
Comparison fields: 5 of 160
  • Human-Computer Interaction 482
  • Computer Vision and Pattern Recognition 1.1k
  • Radiology, Nuclear Medicine and Imaging 646
  • Computational Mathematics 15
  • Experimental and Cognitive Psychology 332
Replace Allan Hanbury with:
Allan Hanbury Austria
Miguel P. Eckstein United States
Fillia Makedon United States
D. H. Cooper United Kingdom
Henning Müller Switzerland
Yong Man Ro South Korea
Pierre Jannin France
Jan Egger Germany
Chee‐Kong Chui Singapore
Kostas Marias Greece
M. Stella Atkins relative to Allan Hanbury Austria Allan Hanbury's profile →
Citations per field
00.5×6.2×
Allan Hanbury · 1×
Citations per year

Countries citing papers authored by M. Stella Atkins

Since Specialization
Citations

This map shows the geographic impact of M. Stella Atkins'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 M. Stella Atkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Stella Atkins more than expected).

Fields of papers citing papers by M. Stella Atkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Stella Atkins. 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 M. Stella Atkins. The network helps show where M. Stella Atkins may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M. Stella Atkins, 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 M. Stella Atkins Line = papers co-authored together M. Stella Atkins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201217
2
Automated Pre-processing Method for Dermoscopic Images and its Application to Pigmented Skin Lesion Segmentation.
20129
3 201214
4 20117
5 201115
6
Novel Decomposition of Tensor Distance into Shape and Orientation Distances
20091
7 200810
8 200728
9 2006101
10 200617
11 200517
12 200513
13 20039
14 200272
15 200226
16 200113
17 200132
18 200112
19 1998274
20 199127

About M. Stella Atkins

M. Stella Atkins is a scholar working on Human-Computer Interaction, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 135 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (22 papers), Medical Imaging Techniques and Applications (19 papers), Gaze Tracking and Assistive Technology (16 papers), Medical Image Segmentation Techniques (14 papers), Surgical Simulation and Training (13 papers), Advanced MRI Techniques and Applications (13 papers), Radiation Detection and Scintillator Technologies (11 papers) and melanin and skin pigmentation (10 papers). The work is most often cited by research in Human-Computer Interaction (482 citations), Computer Vision and Pattern Recognition (1.1k citations) and Radiology, Nuclear Medicine and Imaging (646 citations). M. Stella Atkins has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Regan L. Mandryk, Bin Zheng, Tim K. Lee, Geoffrey Tien, Arthur E. Kirkpatrick, Xianta Jiang, David I. McLean, Maryam Sadeghi, Kori Inkpen and Mark Anderson. Their work appears in journals such as Communications of the ACM, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

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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