Bill Lorensen
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
Papers in
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- Medical Image Segmentation Techniques 2
- Advanced Vision and Imaging 2
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- Computer Graphics and Visualization Techniques 3
- Co-authors
- R. Kikinis (2 shared papers)W. J. Schroeder (1 shared paper)Steven Pieper (1 shared paper)Hanspeter Pfister (3 shared papers)Will Schroeder (2 shared papers)Chandrajit Bajaj (2 shared papers)Gordon Kindlmann (2 shared papers)Raghu Machiraju (1 shared paper)
- Journals
- IEEE Computer Graphics and Applications (1 paper)IEEE Visualization (2 papers)PubMed (2 papers)
- Partner nations
- United StatesNorwayJapan
In The Last Decade
Bill Lorensen
8 papers receiving 456 citations
Peers
Comparison fields: 5 of 87
- Computer Graphics and Computer-Aided Design 204
- Computer Vision and Pattern Recognition 242
- Computational Mechanics 92
- Radiology, Nuclear Medicine and Imaging 82
- Biophysics 20
Countries citing papers authored by Bill Lorensen
This map shows the geographic impact of Bill Lorensen'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 Bill Lorensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Lorensen more than expected).
Fields of papers citing papers by Bill Lorensen
This network shows the impact of papers produced by Bill Lorensen. 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 Bill Lorensen. The network helps show where Bill Lorensen may publish in the future.
Co-authors
The 21 scholars most cited alongside Bill Lorensen, 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 | 2006 | 238 | |
| 2 | 2001 | 198 | |
| 3 | Proceedings of the 2000 IEEE symposium on Volume visualization | 2000 | 15 |
| 4 | 2000 | 13 | |
| 5 | 1996 | 11 | |
| 6 | Linking human anatomy to knowledge bases: a visual front end for electronic medical records. | 2005 | 2 |
| 7 | 1999 | 1 | |
| 8 | Computer-aided forensics: metal object detection. | 2006 | 1 |
About Bill Lorensen
Bill Lorensen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Molecular Biology, having authored 8 papers that have together received 479 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (3 papers), Medical Image Segmentation Techniques (2 papers), Advanced Vision and Imaging (2 papers), 3D Shape Modeling and Analysis (2 papers), Autopsy Techniques and Outcomes (1 paper), Biomedical Text Mining and Ontologies (1 paper), Advanced X-ray and CT Imaging (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (204 citations), Computer Vision and Pattern Recognition (242 citations), Computational Mechanics (92 citations), Radiology, Nuclear Medicine and Imaging (82 citations) and Biophysics (20 citations). Bill Lorensen has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include R. Kikinis, W. J. Schroeder, Steven Pieper, Hanspeter Pfister, Will Schroeder, Chandrajit Bajaj, Gordon Kindlmann, Raghu Machiraju, Lisa Avila and Jinho Lee. Their work appears in journals such as IEEE Computer Graphics and Applications, IEEE Visualization and PubMed.
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.