Keith D. Copsey

2.2k total citations
10 papers, 351 citations indexed

About

Keith D. Copsey is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Keith D. Copsey has authored 10 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Aerospace Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Keith D. Copsey's 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). Keith D. Copsey is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Bayesian Methods and Mixture Models (2 papers) and Advanced SAR Imaging Techniques (2 papers). Keith D. Copsey collaborates with scholars based in United Kingdom. Keith D. Copsey's 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 and has published in prestigious 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.

In The Last Decade

Keith D. Copsey

10 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Keith D. Copsey United Kingdom	5	105	80	56	39	35	10	351
Xi’an Feng China	9	97 0.9×	45 0.6×	72 1.3×	29 0.7×	36 1.0×	37	346
Anthony J. Pinar United States	11	128 1.2×	47 0.6×	45 0.8×	29 0.7×	19 0.5×	28	348
Zhihui Lin China	9	86 0.8×	60 0.8×	106 1.9×	56 1.4×	28 0.8×	22	457
Hao Huan China	11	79 0.8×	105 1.3×	65 1.2×	27 0.7×	66 1.9×	66	429
N.J. Redding Australia	11	64 0.6×	73 0.9×	124 2.2×	28 0.7×	13 0.4×	45	316
Maomao Li China	10	103 1.0×	59 0.7×	189 3.4×	22 0.6×	35 1.0×	25	517
Gang Xiong China	13	48 0.5×	147 1.8×	114 2.0×	33 0.8×	14 0.4×	47	412
Xinxin Zhang China	10	88 0.8×	33 0.4×	152 2.7×	39 1.0×	31 0.9×	33	475
Sedat Özer Türkiye	12	107 1.0×	81 1.0×	264 4.7×	25 0.6×	24 0.7×	31	482

Countries citing papers authored by Keith D. Copsey

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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10 of 10 papers shown

1.

Üney, Murat, Keith D. Copsey, Scott E. Page, B. Mulgrew, & Paul A. Thomas. (2018). Enabling self-configuration of fusion networks via scalable opportunistic sensor calibration. 24–24. 1 indexed citations

2.

Copsey, Keith D., et al.. (2012). Track anomaly detection with rhythm of life and bulk activity modeling. 24–31. 3 indexed citations

3.

Webb, Andrew R. & Keith D. Copsey. (2011). Statistical Pattern Recognition. 237 indexed citations

4.

Briers, Mark, et al.. (2009). Approximate Bayesian Computation for Source Term Estimation. 11 indexed citations

5.

Copsey, Keith D., et al.. (2005). Assessment of a Bayesian approach to recognising relocatable targets. Defense Technical Information Center (DTIC). 2 indexed citations

6.

Copsey, Keith D.. (2005). Automatic target recognition using both measurements from identity sensors and motion information from tracking sensors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5807. 273–273. 2 indexed citations

7.

Copsey, Keith D., et al.. (2004). Designing NCTR algorithms when operating sensor conditions differ from training conditions. 4 indexed citations

8.

Copsey, Keith D., et al.. (2004). <title>A Bayesian approach to simultaneous autofocus and superresolution</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5427. 133–142. 7 indexed citations

9.

Copsey, Keith D. & Andrew Webb. (2003). Bayesian gamma mixture model approach to radar target recognition. IEEE Transactions on Aerospace and Electronic Systems. 39(4). 1201–1217. 79 indexed citations

10.

Copsey, Keith D., Neil Gordon, & A. Marrs. (2002). Bayesian analysis of generalized frequency-modulated signals. IEEE Transactions on Signal Processing. 50(3). 725–735. 5 indexed citations

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.

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