Jeff Orchard

1.3k total citations
49 papers, 877 citations indexed

About

Jeff Orchard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Jeff Orchard has authored 49 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Cognitive Neuroscience. Recurrent topics in Jeff Orchard's work include Medical Image Segmentation Techniques (10 papers), Advanced Vision and Imaging (10 papers) and Neural dynamics and brain function (8 papers). Jeff Orchard is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Advanced Vision and Imaging (10 papers) and Neural dynamics and brain function (8 papers). Jeff Orchard collaborates with scholars based in Canada, China and Australia. Jeff Orchard's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Jeff Orchard

45 papers receiving 829 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeff Orchard Canada	16	461	156	120	97	92	49	877
Stuart Perry Australia	14	321 0.7×	118 0.8×	89 0.7×	150 1.5×	61 0.7×	56	851
Yaping Huang China	19	607 1.3×	266 1.7×	193 1.6×	128 1.3×	70 0.8×	92	1.2k
Fei Yang China	14	318 0.7×	130 0.8×	40 0.3×	67 0.7×	39 0.4×	90	684
Stamatios Georgoulis Switzerland	8	503 1.1×	352 2.3×	62 0.5×	27 0.3×	84 0.9×	19	929
Francesco Isgrò Italy	14	357 0.8×	239 1.5×	63 0.5×	27 0.3×	77 0.8×	66	903
N. Vasanthavada United States	5	377 0.8×	78 0.5×	143 1.2×	58 0.6×	121 1.3×	11	829
Weibin Liu China	14	344 0.7×	107 0.7×	92 0.8×	68 0.7×	65 0.7×	122	758
Salvatore Tabbone France	19	1.2k 2.5×	217 1.4×	311 2.6×	60 0.6×	54 0.6×	81	1.6k
Zhanjie Song China	20	688 1.5×	175 1.1×	179 1.5×	33 0.3×	48 0.5×	88	1.2k

Countries citing papers authored by Jeff Orchard

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Orchard, Jeff, et al.. (2024). Efficient Hyperdimensional Computing With Spiking Phasors. Neural Computation. 36(9). 1886–1911.

Orchard, Jeff, et al.. (2020). Biological batch normalisation: How intrinsic plasticity improves learning in deep neural networks. PLoS ONE. 15(9). e0238454–e0238454. 4 indexed citations

Sun, Wei & Jeff Orchard. (2020). A Predictive-Coding Network That Is Both Discriminative and Generative. Neural Computation. 32(10). 1836–1862. 5 indexed citations

Hunsberger, Eric, et al.. (2017). Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access. 5. 11645–11657. 1 indexed citations

Leopold, Henry A., Jeff Orchard, John Zelek, & Vasudevan Lakshminarayanan. (2017). Segmentation and feature extraction of retinal vascular morphology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10133. 101330V–101330V. 3 indexed citations

Wang, Lin, et al.. (2016). Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning. IEEE Transactions on Neural Networks and Learning Systems. 28(10). 2255–2267. 46 indexed citations

Orchard, Jeff. (2013). Does the entorhinal cortex use the Fourier transform?. Frontiers in Computational Neuroscience. 7. 179–179. 15 indexed citations

Orchard, Jeff, et al.. (2012). Population coding in sparsely connected networks of noisy neurons. Frontiers in Computational Neuroscience. 6. 23–23. 1 indexed citations

Orchard, Jeff, et al.. (2010). Registering a non-rigid multi-sensor ensemble of images. PubMed. 5. 5935–5938. 1 indexed citations

10.

Orchard, Jeff & Richard Mann. (2010). Registering a MultiSensor Ensemble of Images. IEEE Transactions on Image Processing. 19(5). 1236–1247. 18 indexed citations

11.

Wang, Yanwei & Jeff Orchard. (2008). Symmetric Discrete Orthonormal Stockwell Transform. AIP conference proceedings. 585–588. 4 indexed citations

12.

Wong, Alexander & Jeff Orchard. (2008). A nonlocal-means approach to exemplar-based inpainting. 2600–2603. 128 indexed citations

13.

Orchard, Jeff & John T. W. Yeow. (2008). Toward a Flexible and Portable CT Scanner. Lecture notes in computer science. 11(Pt 2). 188–195. 3 indexed citations

14.

Orchard, Jeff, et al.. (2008). Image Registration-Based Approach to Ranking Dental X-Ray Images for Human Forensic Identification. Canadian Society of Forensic Science Journal. 41(3). 125–134. 3 indexed citations

15.

Orchard, Jeff. (2007). Efficient Least Squares Multimodal Registration With a Globally Exhaustive Alignment Search. IEEE Transactions on Image Processing. 16(10). 2526–2534. 36 indexed citations

16.

Orchard, Jeff, et al.. (2006). General Geometry CT Reconstruction.. IPCV. 95–99. 2 indexed citations

17.

Orchard, Jeff, et al.. (2006). Efficient Multimodal Registration Using Least-Squares.. IPCV. 230–236. 3 indexed citations

18.

Wong, Alexander, William Bishop, & Jeff Orchard. (2006). Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps.. IPCV. 74–80. 8 indexed citations

19.

Wong, Alexander & Jeff Orchard. (2006). Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images.. IPCV. 67–73. 2 indexed citations

20.

Orchard, Jeff, Chen Greif, Gene H. Golub, Bruce Björnson, & M. Stella Atkins. (2003). Simultaneous registration and activation detection for fMRI. IEEE Transactions on Medical Imaging. 22(11). 1427–1435. 9 indexed citations

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.

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