Jonathan W. Brandt
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Aerospace Engineering
- Media Technology
- Co-authors
- V. Ralph AlgaziAnil K. JainAmit Kumar Jain
- Topics
- Digital Image Processing Techniques (5 papers)Advanced Vision and Imaging (4 papers)Advanced Image Processing Techniques (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- International Journal of Computer VisionJournal of Visual Communication and Image RepresentationMachine Vision and Applications
- Partner nations
- United StatesJapan
In The Last Decade
Jonathan W. Brandt
12 papers receiving 299 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 204
- Computational Mechanics 125
- Computer Graphics and Computer-Aided Design 117
- Aerospace Engineering 29
- Media Technology 17
Countries citing papers authored by Jonathan W. Brandt
This map shows the geographic impact of Jonathan W. Brandt'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 Jonathan W. Brandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Brandt more than expected).
Fields of papers citing papers by Jonathan W. Brandt
This network shows the impact of papers produced by Jonathan W. Brandt. 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 Jonathan W. Brandt. The network helps show where Jonathan W. Brandt may publish in the future.
Co-authorship network of co-authors of Jonathan W. Brandt
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan W. Brandt. A scholar is included among the top collaborators of Jonathan W. Brandt 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 Jonathan W. Brandt. Jonathan W. Brandt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 36 | |
| 6 | Derivative-Based Optical Flow Estimation: Controlled Comparison of First- and Second- Order Methods. | 2 |
| 7 | 42 | |
| 8 | 177 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | Theory and application of the skeleton representation of continuous shapes | 9 |
| 12 | 19 |
About Jonathan W. Brandt
Jonathan W. Brandt is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Computer Vision and Pattern Recognition (204 citations) and Computational Mechanics (125 citations). Jonathan W. Brandt has collaborated with scholars based in United States and Japan. Frequent co-authors include V. Ralph Algazi, Anil K. Jain and Amit Kumar Jain. Their work appears in journals such as International Journal of Computer Vision, Journal of Visual Communication and Image Representation and Machine Vision and Applications.
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.