Roy Eagleson

1.9k total citations
121 papers, 1.1k citations indexed

About

Roy Eagleson is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roy Eagleson has authored 121 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Surgery, 41 papers in Biomedical Engineering and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roy Eagleson's work include Surgical Simulation and Training (43 papers), Anatomy and Medical Technology (32 papers) and Augmented Reality Applications (20 papers). Roy Eagleson is often cited by papers focused on Surgical Simulation and Training (43 papers), Anatomy and Medical Technology (32 papers) and Augmented Reality Applications (20 papers). Roy Eagleson collaborates with scholars based in Canada, United States and United Kingdom. Roy Eagleson's co-authors include Sandrine de Ribaupierre, Terry M. Peters, Melvyn A. Goodale, Qi Zhang, Yining Hu, Timothy D. Wilson, David P. Carey, John S. H. Baxter, R. Bouchard and John A. Barron and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and The FASEB Journal.

In The Last Decade

Roy Eagleson

109 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Eagleson Canada 17 375 361 351 213 104 121 1.1k
C. Monserrat Spain 21 433 1.2× 208 0.6× 315 0.9× 43 0.2× 186 1.8× 71 1.3k
Matthias Harders Switzerland 21 350 0.9× 521 1.4× 307 0.9× 298 1.4× 53 0.5× 84 1.5k
Kenneth Salisbury United States 19 425 1.1× 476 1.3× 300 0.9× 212 1.0× 101 1.0× 45 1.2k
George Mylonas United Kingdom 24 997 2.7× 650 1.8× 418 1.2× 103 0.5× 148 1.4× 77 1.7k
Don Stredney United States 16 208 0.6× 490 1.4× 222 0.6× 42 0.2× 83 0.8× 46 822
Masaaki Mochimaru Japan 22 663 1.8× 159 0.4× 511 1.5× 123 0.6× 35 0.3× 177 1.9k
Fátima L. S. Nunes Brazil 19 125 0.3× 158 0.4× 398 1.1× 129 0.6× 106 1.0× 173 1.2k
M. Manivannan India 14 320 0.9× 232 0.6× 180 0.5× 293 1.4× 35 0.3× 91 988
Zhigang Deng United States 17 144 0.4× 141 0.4× 492 1.4× 71 0.3× 38 0.4× 91 1.1k
Mitsunori Tada Japan 18 433 1.2× 279 0.8× 147 0.4× 175 0.8× 151 1.5× 128 1.2k

Countries citing papers authored by Roy Eagleson

Since Specialization
Citations

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

Fields of papers citing papers by Roy Eagleson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy Eagleson. 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 Roy Eagleson. The network helps show where Roy Eagleson may publish in the future.

Co-authorship network of co-authors of Roy Eagleson

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Eagleson. A scholar is included among the top collaborators of Roy Eagleson 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 Roy Eagleson. Roy Eagleson 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.
Baxter, John S. H. & Roy Eagleson. (2025). Exploring the values underlying machine learning research in medical image analysis. Medical Image Analysis. 102. 103494–103494. 2 indexed citations
2.
Duerden, Emma G., et al.. (2024). Assessing the impact of infantile hydrocephalus on visuomotor integration through behavioural and neuroimaging studies. Child Neuropsychology. 30(7). 1067–1094. 1 indexed citations
4.
Nichols, Emily S., Barbra de Vrijer, Roy Eagleson, et al.. (2023). Default mode network functional connectivity strength in utero and the association with fetal subcortical development. Cerebral Cortex. 33(14). 9144–9153. 1 indexed citations
5.
Nichols, Emily S., Michael Grace, Barbra de Vrijer, et al.. (2023). Sex- and age-based differences in fetal and early childhood hippocampus maturation: a cross-sectional and longitudinal analysis. Cerebral Cortex. 34(1). 4 indexed citations
6.
Davidson, Jacob, et al.. (2023). Next-Generation Remote Hand Assessments: Cross-Platform DIGITS Web Application. Journal of Hand Surgery Global Online. 5(3). 294–299. 3 indexed citations
7.
Boulton, Mel, et al.. (2023). Development of technical skills in simulated cerebral aneurysm coiling. Medicine. 102(11). e33209–e33209. 2 indexed citations
8.
Morton, J. Bruce, et al.. (2022). Brain Network Connectivity and Executive Function in Children with Infantile Hydrocephalus. Brain Connectivity. 12(9). 784–798. 4 indexed citations
9.
Eagleson, Roy, et al.. (2020). Ventricular Tap for Post-hemorrhagic Ventricle Dilatation: How Much CSF Should be Removed?. 1 indexed citations
10.
Boulton, Mel, et al.. (2020). Simulation reduces navigational errors in cerebral angiography training. SHILAP Revista de lepidopterología. 5(1). 10–10. 3 indexed citations
11.
Garvin, Gregory J., et al.. (2020). Augmented reality simulator for ultrasound-guided percutaneous renal access. International Journal of Computer Assisted Radiology and Surgery. 15(5). 749–757. 12 indexed citations
12.
Tutunea‐Fatan, O. Remus, et al.. (2019). Parallelized collision detection with applications in virtual bone machining. Computer Methods and Programs in Biomedicine. 188. 105263–105263. 6 indexed citations
13.
Armstrong, Ryan T., et al.. (2013). A Mobile Augmented Reality Application for Image Guidance of Neurosurgical Interventions. 3(6). 169–174. 3 indexed citations
14.
Linte, Cristian A., James A. White, Roy Eagleson, G Guiraudon, & Terry M. Peters. (2010). Virtual and Augmented Medical Imaging Environments: Enabling Technology for Minimally Invasive Cardiac Interventional Guidance. IEEE Reviews in Biomedical Engineering. 3. 25–47. 31 indexed citations
15.
Zhang, Qi, Roy Eagleson, & Terry M. Peters. (2010). Volume Visualization: A Technical Overview with a Focus on Medical Applications. Journal of Digital Imaging. 24(4). 640–664. 69 indexed citations
16.
Cool, Derek W., Michael Connolly, Shi Sherebrin, et al.. (2010). Repeat Prostate Biopsy Accuracy: Simulator-based Comparison of Two- and Three-dimensional Transrectal US Modalities. Radiology. 254(2). 587–594. 13 indexed citations
17.
Jayaraman, Shiva, et al.. (2009). Are there advantages to robotic-assisted surgery over laparoscopy from the surgeon’s perspective?. Journal of Robotic Surgery. 3(2). 79–82. 39 indexed citations
18.
Fels, Deborah I., et al.. (1999). Developing a Video-Mediated Communication System for Hospitalized Children. PubMed. 5(2). 193–208. 16 indexed citations
19.
Fels, Deborah I., et al.. (1997). PEBBLES : Providing Education By Bringing Learning Environments to Students. International Conference on Human-Computer Interaction. 157(1). 115–118. 2 indexed citations
20.
Eagleson, Roy & David P. Carey. (1992). Connectionist networks do not model brain function. Behavioral and Brain Sciences. 15(4). 734–735. 32 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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