Randy E. Ellis

2.1k citations
98 papers · 1.4k indexed · h-index 21

Randy E. Ellis

96 papers receiving 1.4k citations

Peers

Randy E. Ellis
Comparison fields: 5 of 103
  • Rehabilitation 136
  • Surgery 754
  • Computer Vision and Pattern Recognition 334
  • Biomedical Engineering 488
  • Radiology, Nuclear Medicine and Imaging 233
Replace Ekkehard Euler with:
Ekkehard Euler Germany
R.E. Ellis Canada
Paul K. Commean United States
Ken Masamune Japan
Philipp Fürnstahl Switzerland
Yoshikazu Nakajima Japan
Branislav Jaramaz United States
Kumar Rajamani India
Ramin Shahidi United States
Jocelyne Troccaz France
Randy E. Ellis relative to Ekkehard Euler Germany Ekkehard Euler's profile →
Citations per field
00.5×1.5×2.0×
Ekkehard Euler · 1×
Citations per year

Countries citing papers authored by Randy E. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Randy E. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randy E. Ellis. 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 Randy E. Ellis. The network helps show where Randy E. Ellis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 202111
4 201616
5 201516
6 201448
7 20118
8
Applying PEST (parameter ESTimation) to improve parameter estimation and uncertainty analysis in WaterCAST models
20094
9 20094
10 200723
11 20079
12
Fast assessment of acetabular coverage using stereoscopic volume rendering.
20063
13 20061
14 200547
15 20056
16 200539
17 20051
18
Medical Image Computing and Computer-Assisted Intervention - Miccai 2003: 6th International Conference, Montreal, Canada, November 2003: Proceedings (LECTURE NOTES IN COMPUTER SCIENCE)
20042
19 200413
20 199622

About Randy E. Ellis

Randy E. Ellis is a scholar working on Surgery, Rehabilitation and Biomedical Engineering, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (20 papers), Hip disorders and treatments (15 papers), Total Knee Arthroplasty Outcomes (15 papers), Surgical Simulation and Training (14 papers), Anatomy and Medical Technology (12 papers), Orthopedic Surgery and Rehabilitation (11 papers), Advanced X-ray and CT Imaging (10 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Rehabilitation (136 citations), Surgery (754 citations) and Computer Vision and Pattern Recognition (334 citations). Randy E. Ellis has collaborated with scholars based in Canada, United States and China. Frequent co-authors include David R. Pichora, John F. Rudan, Burton Ma, Purang Abolmaesumi, Manuela Kunz, Terry M. Peters, C.F. Small, George S. Athwal, Thomas Tang and Vincent Hayward. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Computer Aided Surgery, The Journal of Arthroplasty, Orthopedics and The Journal Of Hand Surgery.

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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