George J. Grevera
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Biomedical Engineering
- Computational Mechanics top 10%
- Co-authors
- Jayaram K. UdupaDewey OdhnerYing ZhugeYukio MikiShipra MishraCelina ImielińskaLeanne M. CurrieYinpeng Jin
- Topics
- Medical Image Segmentation Techniques (21 papers)Computer Graphics and Visualization Techniques (13 papers)Digital Image Processing Techniques (12 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Medical ImagingPattern Recognition LettersIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- United StatesSwedenBrazil
In The Last Decade
George J. Grevera
38 papers receiving 622 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 447
- Radiology, Nuclear Medicine and Imaging 163
- Computer Graphics and Computer-Aided Design 98
- Biomedical Engineering 87
- Computational Mechanics 77
Countries citing papers authored by George J. Grevera
This map shows the geographic impact of George J. Grevera'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 George J. Grevera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George J. Grevera more than expected).
Fields of papers citing papers by George J. Grevera
This network shows the impact of papers produced by George J. Grevera. 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 George J. Grevera. The network helps show where George J. Grevera may publish in the future.
Co-authorship network of co-authors of George J. Grevera
This figure shows the co-authorship network connecting the top 25 collaborators of George J. Grevera. A scholar is included among the top collaborators of George J. Grevera 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 George J. Grevera. George J. Grevera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | 46 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 28 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 122 | |
| 17 | 6 | |
| 18 | 157 | |
| 19 | 3 | |
| 20 | 2 |
About George J. Grevera
George J. Grevera is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 39 papers that have together received 655 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Computer Graphics and Visualization Techniques (13 papers) and Digital Image Processing Techniques (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (98 citations), Computer Vision and Pattern Recognition (447 citations) and Radiology, Nuclear Medicine and Imaging (163 citations). George J. Grevera has collaborated with scholars based in United States, Sweden and Brazil. Frequent co-authors include Jayaram K. Udupa, Dewey Odhner, Ying Zhuge, Yukio Miki, Shipra Mishra, Celina Imielińska, Leanne M. Currie, Yinpeng Jin, Hilary J. Schmidt and Punam K. Saha. Their work appears in journals such as IEEE Transactions on Medical Imaging, Pattern Recognition Letters and IEEE Transactions on Visualization and Computer Graphics.
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.