Keith D. Copsey
- Artificial Intelligence top 10%
- Aerospace Engineering
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Signal Processing
- Co-authors
- Andrew R. WebbAndrew WebbMark BriersNeil GordonA. MarrsScott E. PagePaul A. ThomasMurat Üney
- Topics
- Target Tracking and Data Fusion in Sensor Networks (7 papers)Bayesian Methods and Mixture Models (2 papers)Advanced SAR Imaging Techniques (2 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Aerospace and Electronic SystemsProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- United Kingdom
In The Last Decade
Keith D. Copsey
10 papers receiving 333 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 105
- Aerospace Engineering 80
- Computer Vision and Pattern Recognition 56
- Biomedical Engineering 39
- Signal Processing 35
Countries citing papers authored by Keith D. Copsey
This map shows the geographic impact of Keith D. Copsey'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 Keith D. Copsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith D. Copsey more than expected).
Fields of papers citing papers by Keith D. Copsey
This network shows the impact of papers produced by Keith D. Copsey. 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 Keith D. Copsey. The network helps show where Keith D. Copsey may publish in the future.
Co-authorship network of co-authors of Keith D. Copsey
This figure shows the co-authorship network connecting the top 25 collaborators of Keith D. Copsey. A scholar is included among the top collaborators of Keith D. Copsey 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 Keith D. Copsey. Keith D. Copsey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Track anomaly detection with rhythm of life and bulk activity modeling | 3 |
| 3 | 237 | |
| 4 | Approximate Bayesian Computation for Source Term Estimation | 11 |
| 5 | Assessment of a Bayesian approach to recognising relocatable targets | 2 |
| 6 | 2 | |
| 7 | Designing NCTR algorithms when operating sensor conditions differ from training conditions | 4 |
| 8 | 7 | |
| 9 | 79 | |
| 10 | 5 |
About Keith D. Copsey
Keith D. Copsey is a scholar working on Artificial Intelligence, Statistics and Probability and Biophysics, having authored 10 papers that have together received 351 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Bayesian Methods and Mixture Models (2 papers) and Advanced SAR Imaging Techniques (2 papers). The work is most often cited by research in Media Technology (31 citations), Artificial Intelligence (105 citations) and Signal Processing (35 citations). Keith D. Copsey has collaborated with scholars based in United Kingdom. Frequent co-authors include Andrew R. Webb, Andrew Webb, Mark Briers, Neil Gordon, A. Marrs, Scott E. Page, Paul A. Thomas, Murat Üney and B. Mulgrew. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.