Dc Burr
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Handwritten Text Recognition Techniques
- Advanced Vision and Imaging
- Image Processing and 3D Reconstruction
- Advanced Image and Video Retrieval Techniques
- Image and Object Detection Techniques
- Signal Processing top 10%
Papers in
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- Image Processing and 3D Reconstruction 2
- Handwritten Text Recognition Techniques 2
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- Music and Audio Processing 4
- Speech and Audio Processing 1
- Co-authors
- R. T. Chien (1 shared paper)Neil Weste (1 shared paper)B. Ackland (1 shared paper)Robyn Owens (1 shared paper)Maria Concetta Morrone (4 shared papers)Joshua V. Ross (1 shared paper)Paola Binda (1 shared paper)Arezoo Pooresmaeili (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Perception (2 papers)Investigative Ophthalmology & Visual Science (1 paper)CINECA IRIS Institutial research information system (University of Pisa) (2 papers)Computer Graphics and Image Processing (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Dc Burr
13 papers receiving 489 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 321
- Signal Processing 84
- Computer Graphics and Computer-Aided Design 24
- Artificial Intelligence 202
- Media Technology 26
Countries citing papers authored by Dc Burr
This map shows the geographic impact of Dc Burr'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 Dc Burr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dc Burr more than expected).
Fields of papers citing papers by Dc Burr
This network shows the impact of papers produced by Dc Burr. 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 Dc Burr. The network helps show where Dc Burr may publish in the future.
Co-authors
The 8 scholars most cited alongside Dc Burr, 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 | 1988 | 196 | |
| 2 | 1981 | 136 | |
| 3 | 1981 | 110 | |
| 4 | 1983 | 46 | |
| 5 | 1981 | 16 | |
| 6 | A system for stereo computer vision with geometric models | 1977 | 13 |
| 7 | MACH BANDS DEPEND ON VISUAL PHASE | 1986 | 6 |
| 8 | 1992 | 4 | |
| 9 | TEMPORAL IMPULSE-RESPONSE FUNCTIONS FOR LUMINANCE AND COLOR | 1992 | 2 |
| 10 | 2010 | 1 | |
| 11 | A VISUAL MODEL FOR SIMULTANEOUS ANALYSIS OF FORM AND MOTION | 1992 | 1 |
| 12 | Spatio-temporal distortions of visual perception during saccades | 2007 | 1 |
| 13 | 2002 | 1 |
About Dc Burr
Dc Burr is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Mathematical Physics, having authored 13 papers that have together received 533 indexed citations. Recurring topics across this work include Music and Audio Processing (4 papers), Neural Networks and Applications (3 papers), Image Processing and 3D Reconstruction (2 papers), Handwritten Text Recognition Techniques (2 papers), Speech Recognition and Synthesis (2 papers), Visual perception and processing mechanisms (2 papers), Mathematical Dynamics and Fractals (1 paper) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (321 citations), Signal Processing (84 citations), Computer Graphics and Computer-Aided Design (24 citations), Artificial Intelligence (202 citations) and Media Technology (26 citations). Dc Burr has collaborated with scholars based in United States and Japan. Frequent co-authors include R. T. Chien, Neil Weste, B. Ackland, Robyn Owens, Maria Concetta Morrone, Joshua V. Ross, Paola Binda and Arezoo Pooresmaeili. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Perception, Investigative Ophthalmology & Visual Science, CINECA IRIS Institutial research information system (University of Pisa) and Computer Graphics and Image Processing.
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.