M. Stella Atkins

4.8k total citations
135 papers, 3.3k citations indexed

About

M. Stella Atkins is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, M. Stella Atkins has authored 135 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 45 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Oncology. Recurrent topics in M. Stella Atkins's work include Cutaneous Melanoma Detection and Management (22 papers), Medical Imaging Techniques and Applications (19 papers) and Gaze Tracking and Assistive Technology (16 papers). M. Stella Atkins is often cited by papers focused on Cutaneous Melanoma Detection and Management (22 papers), Medical Imaging Techniques and Applications (19 papers) and Gaze Tracking and Assistive Technology (16 papers). M. Stella Atkins collaborates with scholars based in Canada, United States and Finland. M. Stella Atkins's 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 and has published in prestigious journals such as Communications of the ACM, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

M. Stella Atkins

124 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Stella Atkins Canada 28 1.1k 646 536 495 482 135 3.3k
Kostas Marias Greece 29 489 0.5× 1.1k 1.7× 633 1.2× 293 0.6× 138 0.3× 265 3.6k
Michael A. Riegler Norway 30 1.4k 1.3× 1.0k 1.6× 1.4k 2.5× 901 1.8× 94 0.2× 233 4.4k
Calvin F. Nodine United States 33 435 0.4× 2.0k 3.0× 672 1.3× 187 0.4× 223 0.5× 96 3.8k
Yan Xu China 33 1.6k 1.5× 915 1.4× 1.4k 2.7× 228 0.5× 281 0.6× 242 3.9k
Moi Hoon Yap United Kingdom 28 1.5k 1.4× 1.2k 1.8× 1.7k 3.2× 412 0.8× 153 0.3× 130 4.0k
Paul Sajda United States 39 460 0.4× 598 0.9× 550 1.0× 90 0.2× 325 0.7× 177 6.0k
Jinman Kim Australia 36 1.6k 1.5× 1.2k 1.9× 1.6k 3.0× 482 1.0× 84 0.2× 251 4.8k
Dimitrios I. Fotiadis Greece 32 325 0.3× 560 0.9× 747 1.4× 66 0.1× 148 0.3× 269 4.2k
Pierre Jannin France 34 1.1k 1.0× 666 1.0× 353 0.7× 169 0.3× 198 0.4× 177 3.9k
Dimitris Koutsouris Greece 27 736 0.7× 185 0.3× 361 0.7× 109 0.2× 219 0.5× 269 3.3k

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 of co-authors of M. Stella Atkins

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

All Works

20 of 20 papers shown
1.
Sadeghi, Maryam, et al.. (2013). Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions. IEEE Transactions on Medical Imaging. 32(5). 849–861. 81 indexed citations
2.
Drew, Mark S., et al.. (2012). Automated Pre-processing Method for Dermoscopic Images and its Application to Pigmented Skin Lesion Segmentation.. 158–163. 9 indexed citations
3.
Drew, Mark S., et al.. (2012). Intrinsic Melanin and Hemoglobin Colour Components for Skin Lesion Malignancy Detection. Lecture notes in computer science. 15(Pt 1). 315–322. 17 indexed citations
4.
Wighton, Paul, et al.. (2012). Multilevel feature extraction for skin lesion segmentation in dermoscopic images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 83150E–83150E. 6 indexed citations
5.
Wighton, Paul, Tim K. Lee, Greg Mori, et al.. (2011). Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis. International Journal of Biomedical Imaging. 2011. 1–10. 7 indexed citations
6.
Atkins, M. Stella, et al.. (2011). Comparison between fourth and second order DT-MR image segmentations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 79624H–79624H. 2 indexed citations
7.
Hamarneh, Ghassan, et al.. (2009). Novel Decomposition of Tensor Distance into Shape and Orientation Distances. 1 indexed citations
8.
Tan, Yan Zhi, Geoffrey Tien, Arthur E. Kirkpatrick, Bruce B. Forster, & M. Stella Atkins. (2009). Evaluating Eyegaze Targeting to Improve Mouse Pointing for Radiology Tasks. Journal of Digital Imaging. 24(1). 96–106. 4 indexed citations
9.
Atkins, M. Stella, et al.. (2008). Evaluating Interaction Techniques for Stack Mode Viewing. Journal of Digital Imaging. 22(4). 369–382. 10 indexed citations
10.
Voll, Kimberly, M. Stella Atkins, & Bruce B. Forster. (2007). Improving the Utility of Speech Recognition Through Error Detection. Journal of Digital Imaging. 21(4). 371–377. 28 indexed citations
11.
Tisdall, M. Dylan & M. Stella Atkins. (2007). Perception of dim targets on dark backgrounds in MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6515. 651513–651513. 2 indexed citations
12.
Tisdall, M. Dylan & M. Stella Atkins. (2006). Using Human and Model Performance to Compare MRI Reconstructions. IEEE Transactions on Medical Imaging. 25(11). 1510–1517. 17 indexed citations
13.
Orchard, Jeff, Chen Greif, Gene H. Golub, Bruce Björnson, & M. Stella Atkins. (2003). Simultaneous registration and activation detection for fMRI. IEEE Transactions on Medical Imaging. 22(11). 1427–1435. 9 indexed citations
14.
Lee, Tim K., David I. McLean, & M. Stella Atkins. (2002). Irregularity index: A new border irregularity measure for cutaneous melanocytic lesions. Medical Image Analysis. 7(1). 47–64. 72 indexed citations
15.
Tory, Melanie, Niklas Röber, Torsten Möller, A. Ćeller, & M. Stella Atkins. (2001). 4D space-time techniques: a medical imaging case study. IEEE Visualization. 473–476. 13 indexed citations
16.
Tory, Melanie, et al.. (2001). <title>Visualization of time-varying MRI data for MS lesion analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4319. 590–598. 10 indexed citations
17.
Atkins, M. Stella, et al.. (1998). Fully automatic segmentation of the brain in MRI. IEEE Transactions on Medical Imaging. 17(1). 98–107. 274 indexed citations
18.
Atkins, M. Stella, et al.. (1992). Adaptable concurrency control for atomic data types. ACM Transactions on Computer Systems. 10(3). 190–225. 5 indexed citations
19.
Atkins, M. Stella, D. B. Murray, & R. Harrop. (1991). Use of transputers in a 3-D positron emission tomograph. IEEE Transactions on Medical Imaging. 10(3). 276–283. 27 indexed citations
20.
Atkins, M. Stella. (1980). A comparison of SIMULA and GPSS for simulating sparse traffic. SIMULATION. 34(3). 93–100. 5 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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