Jeff Orchard

1.3k citations
49 papers · 886 · h-index 16

Impact in

Papers in

Jeff Orchard

45 papers receiving 837 citations

Peers

Jeff Orchard
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 458
  • Computer Graphics and Computer-Aided Design 56
  • Media Technology 120
  • Artificial Intelligence 157
  • Civil and Structural Engineering 98
Replace Stuart Perry with:
Stuart Perry Australia
Fei Yang China
Francesco Isgrò Italy
Vlad Hondru Romania
Zhanjie Song China
N. Kanopoulos United States
N. Vasanthavada United States
Fengxiang He China
Gösta H. Granlund Sweden
Fumiaki Tomita Japan
Jeff Orchard relative to Stuart Perry Australia Stuart Perry's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jeff Orchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff Orchard Line = papers co-authored together Jeff Orchard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008128
2 200899
3 201681
4 200979
5 202078
6 201646
7 200736
8 200833
9 200831
10 200827
11 201727
12 200924
13 200920
14 201018
15 201317
16 200115
17 200715
18
Exhaustive Matching of Dental X-rays for Human Forensic Identification *
200812
19 201610
20 20039

About Jeff Orchard

Jeff Orchard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 49 papers that have together received 886 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Advanced Vision and Imaging (10 papers), Neural Networks and Applications (8 papers), Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image and Signal Denoising Methods (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (458 citations), Computer Graphics and Computer-Aided Design (56 citations), Media Technology (120 citations), Artificial Intelligence (157 citations) and Civil and Structural Engineering (98 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, Mehran Ebrahimi, Alexander Wong, Bryan A. Tolson, Yanwei Wang, Alexander Wong and Craig S. Kaplan. Their work appears in journals such as Neural Computation, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cognitive and Developmental Systems and IEEE Transactions on Systems Man and Cybernetics Systems.

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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