Jeff Orchard
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Alexander WongLin WangYanwei WangBo YangMehran EbrahimiBryan A. TolsonCraig S. KaplanYuehui Chen
- Topics
- Medical Image Segmentation Techniques (10 papers)Advanced Vision and Imaging (10 papers)Neural dynamics and brain function (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
In The Last Decade
Jeff Orchard
45 papers receiving 829 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 461
- Artificial Intelligence 156
- Media Technology 120
- Civil and Structural Engineering 97
- Electrical and Electronic Engineering 92
Countries citing papers authored by Jeff Orchard
This map shows the geographic impact of Jeff Orchard'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 Jeff Orchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Orchard more than expected).
Fields of papers citing papers by Jeff Orchard
This network shows the impact of papers produced by Jeff Orchard. 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 Jeff Orchard. The network helps show where Jeff Orchard may publish in the future.
Co-authorship network of co-authors of Jeff Orchard
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Orchard. A scholar is included among the top collaborators of Jeff Orchard 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 Jeff Orchard. Jeff Orchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 46 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 128 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 36 | |
| 16 | General Geometry CT Reconstruction. | 2 |
| 17 | Efficient Multimodal Registration Using Least-Squares. | 3 |
| 18 | Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps. | 8 |
| 19 | Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images. | 2 |
| 20 | 9 |
About Jeff Orchard
Jeff Orchard is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 49 papers that have together received 877 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Advanced Vision and Imaging (10 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (461 citations), Computer Graphics and Computer-Aided Design (57 citations) and Media Technology (120 citations). Jeff Orchard has collaborated with scholars based in Canada, China and Australia. Frequent co-authors include Alexander Wong, Lin Wang, Yanwei Wang, Bo Yang, Alexander Wong, Mehran Ebrahimi, Bryan A. Tolson, Yanwei Wang, Alexander Wong and Craig S. Kaplan. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.