A. Zisserman
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Image and Object Detection Techniques
- Geology top 1%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 5
- Image and Object Detection Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Philip H. S. Torr (2 shared papers)C. V. Jawahar (1 shared paper)Andrea Vedaldi (1 shared paper)Omkar Parkhi (1 shared paper)David Forsyth (3 shared papers)C. Rothwell (2 shared papers)Joseph L. Mundy (2 shared papers)Tomáš Werner (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Lecture notes in computer science (1 paper)Cvut DSpace (Czech Technical University) (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (3 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
A. Zisserman
8 papers receiving 2.7k citations
A. Zisserman's Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 2.0k
- Geology 345
- Aerospace Engineering 951
- Media Technology 187
- Environmental Engineering 275
Countries citing papers authored by A. Zisserman
This map shows the geographic impact of A. Zisserman'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 A. Zisserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Zisserman more than expected).
Fields of papers citing papers by A. Zisserman
This network shows the impact of papers produced by A. Zisserman. 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 A. Zisserman. The network helps show where A. Zisserman may publish in the future.
Co-authors
The 12 scholars most cited alongside A. Zisserman, 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 | MLESAC: A New Robust Estimator with Application to Estimating Image Geometry Hit paper breakdown → | 2000 | 1880 |
| 2 | Cats and dogs Hit paper breakdown → | 2012 | 855 |
| 3 | 1991 | 23 | |
| 4 | 1992 | 17 | |
| 5 | 2002 | 16 | |
| 6 | 1991 | 8 | |
| 7 | 1991 | 7 | |
| 8 | 1990 | 6 |
About A. Zisserman
A. Zisserman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Geology and Control and Systems Engineering, having authored 8 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Image and Object Detection Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), 3D Surveying and Cultural Heritage (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Time Series Analysis and Forecasting (2 papers) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Geology (345 citations), Aerospace Engineering (951 citations), Media Technology (187 citations) and Environmental Engineering (275 citations). A. Zisserman has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Philip H. S. Torr, C. V. Jawahar, Andrea Vedaldi, Omkar Parkhi, David Forsyth, C. Rothwell, Joseph L. Mundy, Tomáš Werner, R. Curwen and Andrew Blake. Their work appears in journals such as Computer Vision and Image Understanding, Lecture notes in computer science, Cvut DSpace (Czech Technical University) and Oxford University Research Archive (ORA) (University of Oxford).
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.