David LaRose
Impact in
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- Augmented Reality Applications
- Medical Image Segmentation Techniques
- Biomedical Engineering top 10%
- Soft Robotics and Applications
- Anatomy and Medical Technology
Papers in
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- Augmented Reality Applications 4
- Medical Image Segmentation Techniques 2
- Surgery 7
- Surgical Simulation and Training 5
- Co-authors
- Janez Funda (4 shared papers)Russell H. Taylor (5 shared papers)Kreg G. Gruben (3 shared papers)Benjamin N. Eldridge (2 shared papers)James H. Anderson (2 shared papers)Takeo Kanade (3 shared papers)Louis Raphael Kavoussi (1 shared paper)Mark A. Talamini (1 shared paper)
- Journals
- Lecture notes in control and information sciences (1 paper)Robotica (1 paper)Lecture notes in computer science (1 paper)Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1 paper)IEEE Engineering in Medicine and Biology Magazine (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
David LaRose
14 papers receiving 573 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 210
- Biomedical Engineering 411
- Computer Graphics and Computer-Aided Design 26
- Surgery 232
- Control and Systems Engineering 123
Countries citing papers authored by David LaRose
This map shows the geographic impact of David LaRose'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 David LaRose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David LaRose more than expected).
Fields of papers citing papers by David LaRose
This network shows the impact of papers produced by David LaRose. 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 David LaRose. The network helps show where David LaRose may publish in the future.
Co-authors
The 25 scholars most cited alongside David LaRose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 348 | |
| 2 | Iterative x-ray/ct registration using accelerated volume rendering | 2001 | 57 |
| 3 | Augmentation of human precision in computer-integrated surgery | 1992 | 41 |
| 4 | 1996 | 35 | |
| 5 | 1992 | 31 | |
| 6 | 2000 | 31 | |
| 7 | 1993 | 20 | |
| 8 | 2000 | 20 | |
| 9 | 2006 | 8 | |
| 10 | A Fast, Affordable System for Augmented Reality | 1998 | 4 |
| 11 | 2003 | 3 | |
| 12 | 2002 | 2 | |
| 13 | 2002 | 1 | |
| 14 | 2010 | 1 |
About David LaRose
David LaRose is a scholar working on Computer Vision and Pattern Recognition, Surgery, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 602 indexed citations. Recurring topics across this work include Surgical Simulation and Training (5 papers), Augmented Reality Applications (4 papers), Medical Imaging Techniques and Applications (3 papers), Soft Robotics and Applications (3 papers), Medical Imaging and Analysis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Biomedical Engineering (411 citations), Computer Graphics and Computer-Aided Design (26 citations), Surgery (232 citations) and Control and Systems Engineering (123 citations). David LaRose has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Janez Funda, Russell H. Taylor, Kreg G. Gruben, Benjamin N. Eldridge, James H. Anderson, Takeo Kanade, Louis Raphael Kavoussi, Mark A. Talamini, John E. Bayouth and Michael R. Treat. Their work appears in journals such as Lecture notes in control and information sciences, Robotica, Lecture notes in computer science, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society and IEEE Engineering in Medicine and Biology Magazine.
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.