G. Schrack
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Digital Image Processing Techniques 8
- Advanced Image and Video Retrieval Techniques 4
- Medical Image Segmentation Techniques 3
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- Computer Graphics and Visualization Techniques 7
- Computational Geometry and Mesh Generation 4
- Co-authors
- Xian Liu (3 shared papers)Leo Stocco (3 shared papers)Xian Liu (2 shared papers)Irene Gargantini (5 shared papers)J. E. L. Peck (1 shared paper)Wan Wu (1 shared paper)Xian Liu (1 shared paper)
- Journals
- Communications of the ACM (3 papers)Image and Vision Computing (2 papers)IEEE Transactions on Image Processing (2 papers)Software Practice and Experience (2 papers)Leonardo (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
G. Schrack
32 papers receiving 255 citations
Peers
Comparison fields: 5 of 63
- Computer Graphics and Computer-Aided Design 76
- Hardware and Architecture 37
- Computer Vision and Pattern Recognition 108
- Signal Processing 39
- Artificial Intelligence 88
Countries citing papers authored by G. Schrack
This map shows the geographic impact of G. Schrack'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 G. Schrack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Schrack more than expected).
Fields of papers citing papers by G. Schrack
This network shows the impact of papers produced by G. Schrack. 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 G. Schrack. The network helps show where G. Schrack may publish in the future.
Co-authors
The 7 scholars most cited alongside G. Schrack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 55 | |
| 2 | 1996 | 34 | |
| 3 | 1976 | 32 | |
| 4 | 1997 | 23 | |
| 5 | 1996 | 20 | |
| 6 | 2002 | 14 | |
| 7 | 1998 | 11 | |
| 8 | 2015 | 10 | |
| 9 | 2008 | 8 | |
| 10 | 1986 | 6 | |
| 11 | 2002 | 6 | |
| 12 | 1991 | 6 | |
| 13 | 1986 | 6 | |
| 14 | 1962 | 5 | |
| 15 | 1980 | 4 | |
| 16 | 1995 | 4 | |
| 17 | 1962 | 4 | |
| 18 | 1993 | 4 | |
| 19 | 1962 | 4 | |
| 20 | 1985 | 3 |
About G. Schrack
G. Schrack is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 34 papers that have together received 288 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (8 papers), Computer Graphics and Visualization Techniques (7 papers), Algorithms and Data Compression (6 papers), Computational Geometry and Mesh Generation (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Medical Image Segmentation Techniques (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (76 citations), Hardware and Architecture (37 citations), Computer Vision and Pattern Recognition (108 citations), Signal Processing (39 citations) and Artificial Intelligence (88 citations). G. Schrack has collaborated with scholars based in Canada and United States. Frequent co-authors include Xian Liu, Leo Stocco, Xian Liu, Irene Gargantini, J. E. L. Peck, Wan Wu and Xian Liu. Their work appears in journals such as Communications of the ACM, Image and Vision Computing, IEEE Transactions on Image Processing, Software Practice and Experience and Leonardo.
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.