K. James Sangston

831 total citations
15 papers, 642 citations indexed

About

K. James Sangston is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, K. James Sangston has authored 15 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in K. James Sangston's work include Radar Systems and Signal Processing (9 papers), Advanced SAR Imaging Techniques (7 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). K. James Sangston is often cited by papers focused on Radar Systems and Signal Processing (9 papers), Advanced SAR Imaging Techniques (7 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). K. James Sangston collaborates with scholars based in United States, Italy and Japan. K. James Sangston's co-authors include Fulvio Gini, Maria Greco, K. Gerlach, Alfonso Farina, Mark A. Richards, Gregory A. Showman, Muralidhar Rangaswamy, Braham Himed, Justin G. Metcalf and Shannon D. Blunt and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Aerospace and Electronic Systems and IEEE Aerospace and Electronic Systems Magazine.

In The Last Decade

K. James Sangston

14 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. James Sangston United States 7 571 166 156 141 75 15 642
R. S. Raghavan United States 11 497 0.9× 108 0.7× 126 0.8× 235 1.7× 106 1.4× 35 620
Graham V. Weinberg Australia 16 643 1.1× 233 1.4× 181 1.2× 69 0.5× 107 1.4× 69 782
P.P. Gandhi United States 9 660 1.2× 171 1.0× 225 1.4× 142 1.0× 152 2.0× 25 879
A. Öztürk Türkiye 8 283 0.5× 80 0.5× 118 0.8× 111 0.8× 55 0.7× 14 512
Lee K. Patton United States 13 618 1.1× 108 0.7× 97 0.6× 128 0.9× 118 1.6× 28 713
Goffredo Foglia Italy 19 1.1k 1.9× 175 1.1× 205 1.3× 472 3.3× 96 1.3× 43 1.2k
Gerard T. Capraro United States 13 454 0.8× 66 0.4× 125 0.8× 133 0.9× 85 1.1× 58 582
N.B. Pulsone United States 7 394 0.7× 48 0.3× 72 0.5× 251 1.8× 91 1.2× 12 432
Sudan Han China 13 344 0.6× 46 0.3× 61 0.4× 140 1.0× 23 0.3× 27 414
Stéphanie Bidon France 12 397 0.7× 47 0.3× 85 0.5× 195 1.4× 21 0.3× 61 489

Countries citing papers authored by K. James Sangston

Since Specialization
Citations

This map shows the geographic impact of K. James Sangston'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 K. James Sangston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. James Sangston more than expected).

Fields of papers citing papers by K. James Sangston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. James Sangston. 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 K. James Sangston. The network helps show where K. James Sangston may publish in the future.

Co-authorship network of co-authors of K. James Sangston

This figure shows the co-authorship network connecting the top 25 collaborators of K. James Sangston. A scholar is included among the top collaborators of K. James Sangston 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 K. James Sangston. K. James Sangston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Metcalf, Justin G., K. James Sangston, Muralidhar Rangaswamy, Shannon D. Blunt, & Braham Himed. (2016). A new method of generating multivariate Weibull distributed data. 1–6. 3 indexed citations
3.
Sangston, K. James. (2016). Geometry of complex data. IEEE Aerospace and Electronic Systems Magazine. 31(3). 32–69. 5 indexed citations
4.
Sangston, K. James & Alfonso Farina. (2016). Coherent radar detection in Compound-Gaussian clutter: Clairvoyant detectors. IEEE Aerospace and Electronic Systems Magazine. 31(11). 42–63. 20 indexed citations
5.
Sangston, K. James, Fulvio Gini, & Maria Greco. (2015). Adaptive detection of radar targets in compound-Gaussian clutter. CINECA IRIS Institutial research information system (University of Pisa). 587–592. 6 indexed citations
6.
Sangston, K. James, Fulvio Gini, & Maria Greco. (2012). Coherent Radar Target Detection in Heavy-Tailed Compound-Gaussian Clutter. IEEE Transactions on Aerospace and Electronic Systems. 48(1). 64–77. 213 indexed citations
7.
Showman, Gregory A., Mark A. Richards, & K. James Sangston. (2002). Comparison of two algorithms for correcting zero-Doppler clutter in turntable ISAR imagery. 1. 411–415. 15 indexed citations
8.
Gini, Fulvio, Maria Greco, K. James Sangston, & Alfonso Farina. (2002). Coherent adaptive radar detection in non-Gaussian clutter. 1. 255–259. 5 indexed citations
9.
Farina, Alfonso, Fulvio Gini, Maria Greco, et al.. (2002). Radar detection of targets: new theoretical findings and results by processing recorded live data. IRIS Research product catalog (Sapienza University of Rome). 138. 5–12. 3 indexed citations
10.
Farina, Alfonso, Fulvio Gini, Maria Greco, & K. James Sangston. (2002). Optimum and sub-optimum coherent radar detection in compound Gaussian clutter: a data-dependent threshold interpretation. 160–165. 10 indexed citations
11.
Sangston, K. James, Fulvio Gini, Maria Greco, & Alfonso Farina. (1999). Structures for radar detection in compound Gaussian clutter. IEEE Transactions on Aerospace and Electronic Systems. 35(2). 445–458. 132 indexed citations
12.
Sangston, K. James, Fulvio Gini, Maria Greco, & Alfonso Farina. (1999). Structures for Optimal and Suboptimal Coherent radar Detection in Compound Gaussian Clutter. 445–458. 2 indexed citations
13.
Showman, Gregory A., K. James Sangston, & Mark A. Richards. (1997). <title>Correction of artifacts in turntable inverse synthetic aperture radar images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3066. 40–51. 10 indexed citations
14.
Sangston, K. James & K. Gerlach. (1994). Coherent detection of radar targets in a non-gaussian background. IEEE Transactions on Aerospace and Electronic Systems. 30(2). 330–340. 213 indexed citations
15.
Gerlach, K. & K. James Sangston. (1993). Robust locally optimum detection of signals in dependent noise. IEEE Transactions on Information Theory. 39(3). 1040–1043. 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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