Andrew D. J. Cross
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Aerospace Engineering
- Computational Theory and Mathematics
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Robotics and Sensor-Based Localization (7 papers)Graph Theory and Algorithms (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionISPRS Journal of Photogrammetry and Remote Sensing
- Partner nations
- United KingdomChina
In The Last Decade
Andrew D. J. Cross
13 papers receiving 313 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 266
- Artificial Intelligence 95
- Signal Processing 86
- Aerospace Engineering 65
- Computational Theory and Mathematics 23
Countries citing papers authored by Andrew D. J. Cross
This map shows the geographic impact of Andrew D. J. Cross'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 Andrew D. J. Cross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. J. Cross more than expected).
Fields of papers citing papers by Andrew D. J. Cross
This network shows the impact of papers produced by Andrew D. J. Cross. 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 Andrew D. J. Cross. The network helps show where Andrew D. J. Cross may publish in the future.
Co-authorship network of co-authors of Andrew D. J. Cross
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. J. Cross. A scholar is included among the top collaborators of Andrew D. J. Cross 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 Andrew D. J. Cross. Andrew D. J. Cross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 28 | |
| 9 | Graph Matching for Shape Retrieval | 7 |
| 10 | 4 | |
| 11 | 144 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | Recovering Perspective Pose with a Dual Step EM Algorithm | 3 |
| 15 | 87 | |
| 16 | 4 |
About Andrew D. J. Cross
Andrew D. J. Cross is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Robotics and Sensor-Based Localization (7 papers) and Graph Theory and Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Signal Processing (86 citations) and Computer Graphics and Computer-Aided Design (11 citations). Andrew D. J. Cross has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Edwin R. Hancock, Richard C. Wilson, Bin Luo, Richard Myers and Benoît Huet. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and ISPRS Journal of Photogrammetry and Remote Sensing.
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.