Adrian Secord
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
Papers in
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- Handwritten Text Recognition Techniques 2
- Image Retrieval and Classification Techniques 2
- Video Analysis and Summarization 1
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- Advanced Numerical Analysis Techniques 3
- 3D Shape Modeling and Analysis 2
- Co-authors
- Eitan Grinspun (3 shared papers)Andrew Nealen (1 shared paper)Manish Singh (1 shared paper)Adam Finkelstein (1 shared paper)Jingwan Lu (1 shared paper)Wolfgang Heidrich (1 shared paper)Lisa Streit (1 shared paper)Mira Dontcheva (1 shared paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Adrian Secord
8 papers receiving 375 citations
Peers
Comparison fields: 5 of 59
- Computer Graphics and Computer-Aided Design 241
- Computer Vision and Pattern Recognition 253
- Computational Mechanics 170
- Geology 22
- Human-Computer Interaction 16
Countries citing papers authored by Adrian Secord
This map shows the geographic impact of Adrian Secord'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 Adrian Secord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Secord more than expected).
Fields of papers citing papers by Adrian Secord
This network shows the impact of papers produced by Adrian Secord. 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 Adrian Secord. The network helps show where Adrian Secord may publish in the future.
Co-authors
The 9 scholars most cited alongside Adrian Secord, 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 | 2002 | 175 | |
| 2 | 2011 | 108 | |
| 3 | 2002 | 50 | |
| 4 | 2006 | 29 | |
| 5 | 2002 | 11 | |
| 6 | 2005 | 10 | |
| 7 | 2008 | 7 | |
| 8 | 2010 | 4 |
About Adrian Secord
Adrian Secord is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Sociology and Political Science and Signal Processing, having authored 8 papers that have together received 394 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), Advanced Numerical Analysis Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers), Handwritten Text Recognition Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), 3D Modeling in Geospatial Applications (1 paper), Video Analysis and Summarization (1 paper) and Multimedia Communication and Technology (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (241 citations), Computer Vision and Pattern Recognition (253 citations), Computational Mechanics (170 citations), Geology (22 citations) and Human-Computer Interaction (16 citations). Adrian Secord has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Eitan Grinspun, Andrew Nealen, Manish Singh, Adam Finkelstein, Jingwan Lu, Wolfgang Heidrich, Lisa Streit, Mira Dontcheva and Wilmot Li. 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.