Gary Bradski
- Computer Vision and Pattern Recognition top 0.05%
- Aerospace Engineering top 0.05%
- Geology top 0.1%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Kurt KonoligeVincent RabaudAdrian KaehlerRadu Bogdan RusuJJ HsuJames W. DavisR. RaghuramanChristos Kozyrakis
- Topics
- Robotics and Sensor-Based Localization (14 papers)Advanced Image and Video Retrieval Techniques (12 papers)Advanced Vision and Imaging (9 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Gary Bradski
47 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Vision and Pattern Recognition 8.9k
- Aerospace Engineering 5.7k
- Geology 1.2k
- Artificial Intelligence 1.1k
- Electrical and Electronic Engineering 1.1k
Countries citing papers authored by Gary Bradski
This map shows the geographic impact of Gary Bradski'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 Gary Bradski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Bradski more than expected).
Fields of papers citing papers by Gary Bradski
This network shows the impact of papers produced by Gary Bradski. 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 Gary Bradski. The network helps show where Gary Bradski may publish in the future.
Co-authorship network of co-authors of Gary Bradski
This figure shows the co-authorship network connecting the top 25 collaborators of Gary Bradski. A scholar is included among the top collaborators of Gary Bradski 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 Gary Bradski. Gary Bradski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Learning OpenCV, 2nd Edition | 1 |
| 2 | 12 | |
| 3 | 37 | |
| 4 | 204 | |
| 5 | 118 | |
| 6 | An Additive Latent Feature Model for Transparent Object Recognition | 45 |
| 7 | Learning opencv, 1st edition | 47 |
| 8 | 5 | |
| 9 | Evaluating MapReduce for Multi-core and Multiprocessor Systemsbreakdown → | 692 |
| 10 | Peripheral-foveal vision for real-time object recognition and tracking in video | 57 |
| 11 | 24 | |
| 12 | The Information-Form Data Association Filter | 14 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Real time face and object tracking as a component of a perceptual user interfacebreakdown → | 402 |
| 16 | 4 | |
| 17 | 230 | |
| 18 | 46 | |
| 19 | 62 | |
| 20 | The OpenCV librarybreakdown → | 2105 |
About Gary Bradski
Gary Bradski is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 47 papers that have together received 13.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.9k citations), Aerospace Engineering (5.7k citations) and Geology (1.2k citations). Gary Bradski has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Kurt Konolige, Vincent Rabaud, Adrian Kaehler, Radu Bogdan Rusu, JJ Hsu, James W. Davis, R. Raghuraman, Christos Kozyrakis, Stephen Grossberg and Gail A. Carpenter. Their work appears in journals such as IEEE Signal Processing Magazine, Neural Computation and Neural Networks.
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.