Jared Duke
Impact in
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- Computer Graphics and Visualization Techniques
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 1
- Computational Geometry and Mesh Generation 1
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- COVID-19 diagnosis using AI 1
- Co-authors
- Jerry O. Talton (1 shared paper)Vladlen Koltun (1 shared paper)Yu Lou (1 shared paper)Radomír Měch (1 shared paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Jared Duke
2 papers receiving 519 citations
Jared Duke's Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Graphics and Computer-Aided Design 80
- Hardware and Architecture 85
- Computer Vision and Pattern Recognition 227
- Geology 48
- Computational Mathematics 5
Countries citing papers authored by Jared Duke
This map shows the geographic impact of Jared Duke'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 Jared Duke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Duke more than expected).
Fields of papers citing papers by Jared Duke
This network shows the impact of papers produced by Jared Duke. 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 Jared Duke. The network helps show where Jared Duke may publish in the future.
Co-authors
The 4 scholars most cited alongside Jared Duke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | MLPerf Inference Benchmark Hit paper breakdown → | 2020 | 346 |
| 2 | 2011 | 193 |
About Jared Duke
Jared Duke is a scholar working on Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Computer Vision and Pattern Recognition and Insect Science, having authored 2 papers that have together received 539 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (1 paper), Multimodal Machine Learning Applications (1 paper), COVID-19 diagnosis using AI (1 paper), Computer Graphics and Visualization Techniques (1 paper), Computational Geometry and Mesh Generation (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (80 citations), Hardware and Architecture (85 citations), Computer Vision and Pattern Recognition (227 citations), Geology (48 citations) and Computational Mathematics (5 citations). Jared Duke has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Jerry O. Talton, Vladlen Koltun, Yu Lou and Radomír Měch. Their work appears in journals such as ACM Transactions on 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.