Dc Burr

724 citations
13 papers · 610 · h-index 7

Impact in

    • Image Retrieval and Classification Techniques
    • Medical Image Segmentation Techniques
    • Handwritten Text Recognition Techniques
    • Image Processing and 3D Reconstruction
    • Advanced Vision and Imaging
    • Advanced Image and Video Retrieval Techniques
    • Image and Object Detection Techniques

Papers in

Dc Burr

13 papers receiving 555 citations

Peers

Dc Burr
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 371
  • Signal Processing 102
  • Computer Graphics and Computer-Aided Design 25
  • Artificial Intelligence 228
  • Media Technology 26
Replace G. L. Scott with:
G. L. Scott United Kingdom
Kalyan Vasudev Alwala United States
Song-Chun Zhu United States
Gaurav Aggarwal United States
Song-Chun Zhu United States
S. Tanimoto United States
K. Sengupta Singapore
Wen‐Hsing Hsu Taiwan
Saeid O. Belkasim United States
S.A. Nene United States
Dc Burr relative to G. L. Scott United Kingdom G. L. Scott's profile →
Citations per field
00.5×1.5×2×2.5×
G. L. Scott · 1×
Citations per year

Countries citing papers authored by Dc Burr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

13 of 13 papers shown
#Work
1 1988220
2 1981153
3 1981125
4 198351
5 198120
6
A system for stereo computer vision with geometric models
197713
7 198312
8
MACH BANDS DEPEND ON VISUAL PHASE
19867
9 19924
10
TEMPORAL IMPULSE-RESPONSE FUNCTIONS FOR LUMINANCE AND COLOR
19922
11 20101
12 20021
13
Spatio-temporal distortions of visual perception during saccades
20071

About Dc Burr

Dc Burr is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Modeling and Simulation, having authored 13 papers that have together received 610 indexed citations. Recurring topics across this work include Music and Audio Processing (4 papers), Neural Networks and Applications (3 papers), Image and Object Detection Techniques (2 papers), Advanced Vision and Imaging (2 papers), Image Processing and 3D Reconstruction (2 papers), Speech Recognition and Synthesis (2 papers), Visual perception and processing mechanisms (2 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Signal Processing (102 citations), Computer Graphics and Computer-Aided Design (25 citations), Artificial Intelligence (228 citations) and Media Technology (26 citations). Dc Burr has collaborated with scholars based in United States and Japan. Frequent co-authors include Bryan D. Ackland, Robert Tien-Wen Chien, Neil H. E. Weste, Maria Concetta Morrone, Robyn A. Owens, 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.

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