Peter Rockett
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
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- Evolutionary Algorithms and Applications 23
- Metaheuristic Optimization Algorithms Research 19
- Neural Networks and Applications 8
- Co-authors
- Neil A. ThackerPeter LeeLing ShaoRajeev KumarLi LiuA.B. PhillionElizabeth Abigail HathwayAndrew P. Horsfield
- Journals
- Genetic Programming and Evolvable Machines (6 papers)Journal of Applied Physics (3 papers)Applied Soft Computing (3 papers)Electronics Letters (3 papers)Applied Physics Letters (3 papers)
- Partner nations
- United KingdomIndiaChina
In The Last Decade
Peter Rockett
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 527
- Artificial Intelligence 487
- Aerospace Engineering 256
- Computational Theory and Mathematics 148
- Media Technology 63
Countries citing papers authored by Peter Rockett
This map shows the geographic impact of Peter Rockett'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 Peter Rockett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Rockett more than expected).
Fields of papers citing papers by Peter Rockett
This network shows the impact of papers produced by Peter Rockett. 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 Peter Rockett. The network helps show where Peter Rockett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Rockett, 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 | 2020 | 6 | |
| 2 | 2019 | 9 | |
| 3 | 2017 | 32 | |
| 4 | 2017 | 1 | |
| 5 | 2015 | 9 | |
| 6 | 2015 | 5 | |
| 7 | 2010 | 13 | |
| 8 | 2009 | 39 | |
| 9 | 2009 | 5 | |
| 10 | 2008 | 20 | |
| 11 | 2008 | 0 | |
| 12 | 2006 | 31 | |
| 13 | 2005 | 48 | |
| 14 | 2003 | 37 | |
| 15 | 2002 | 31 | |
| 16 | Decomposition of high dimensional pattern spaces for hierarchical classification | 1998 | 1 |
| 17 | The Bhattacharyya Metric as an Absolute Similarity Measure for Frequency Coded Data. | 1998 | 247 |
| 18 | 1998 | 28 | |
| 19 | Optimal Pairwise Geometric Histograms. | 1997 | 18 |
| 20 | 1989 | 4 |
About Peter Rockett
Peter Rockett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Radiation and Surfaces, Coatings and Films, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (19 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Semiconductor Quantum Structures and Devices (10 papers), Semiconductor materials and devices (9 papers), Neural Networks and Applications (8 papers), Semiconductor materials and interfaces (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (527 citations), Artificial Intelligence (487 citations), Aerospace Engineering (256 citations), Computational Theory and Mathematics (148 citations) and Media Technology (63 citations). Peter Rockett has collaborated with scholars based in United Kingdom, India and China. Frequent co-authors include Neil A. Thacker, Peter Lee, Ling Shao, Rajeev Kumar, Li Liu, A.B. Phillion, Elizabeth Abigail Hathway, Andrew P. Horsfield, Chedtha Puncreobutr and Julie L. Fife. Their work appears in journals such as Genetic Programming and Evolvable Machines, Journal of Applied Physics, Applied Soft Computing, Electronics Letters and Applied Physics Letters.
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.