Michael C. Wicks

6.9k total citations · 2 hit papers
266 papers, 5.2k citations indexed

About

Michael C. Wicks is a scholar working on Aerospace Engineering, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Michael C. Wicks has authored 266 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Aerospace Engineering, 64 papers in Signal Processing and 64 papers in Biomedical Engineering. Recurrent topics in Michael C. Wicks's work include Radar Systems and Signal Processing (153 papers), Advanced SAR Imaging Techniques (106 papers) and Microwave Imaging and Scattering Analysis (61 papers). Michael C. Wicks is often cited by papers focused on Radar Systems and Signal Processing (153 papers), Advanced SAR Imaging Techniques (106 papers) and Microwave Imaging and Scattering Analysis (61 papers). Michael C. Wicks collaborates with scholars based in United States, Italy and United Kingdom. Michael C. Wicks's co-authors include Paul Antonik, Hugh Griffiths, Raviraj Adve, T.B. Hale, Chris Baker, William L. Melvin, Alfonso Farina, Tapan K. Sarkar, Gerard T. Capraro and Antonio De Maio and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Michael C. Wicks

247 papers receiving 5.0k citations

Hit Papers

Frequency Diverse Array Radars 2006 2026 2012 2019 2006 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Wicks United States 34 4.1k 1.7k 1.1k 819 498 266 5.2k
Braham Himed United States 46 5.6k 1.4× 2.2k 1.3× 1.4k 1.3× 1.1k 1.4× 715 1.4× 304 6.7k
Guolong Cui China 43 6.0k 1.5× 1.1k 0.6× 1.7k 1.6× 1.8k 2.2× 822 1.7× 497 7.5k
Augusto Aubry Italy 38 4.2k 1.0× 1.3k 0.7× 1.0k 0.9× 580 0.7× 665 1.3× 167 4.9k
Guisheng Liao China 50 8.4k 2.0× 3.1k 1.8× 1.5k 1.4× 1.8k 2.2× 564 1.1× 558 10.1k
Muralidhar Rangaswamy United States 36 4.1k 1.0× 1.6k 0.9× 677 0.6× 445 0.5× 740 1.5× 273 4.8k
Prabhu Babu India 24 1.9k 0.5× 1.2k 0.7× 1.6k 1.5× 353 0.4× 293 0.6× 120 4.2k
Marco Lops Italy 36 3.5k 0.8× 899 0.5× 1.8k 1.7× 508 0.6× 507 1.0× 209 5.0k
A.J. Weiss Israel 45 2.8k 0.7× 4.3k 2.5× 3.5k 3.3× 385 0.5× 427 0.9× 191 7.0k
J.R. Guerci United States 27 3.0k 0.7× 1.5k 0.9× 480 0.5× 305 0.4× 550 1.1× 96 3.5k
S.U. Pillai United States 21 1.7k 0.4× 1.9k 1.1× 781 0.7× 299 0.4× 424 0.9× 79 3.4k

Countries citing papers authored by Michael C. Wicks

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Wicks. 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 Michael C. Wicks. The network helps show where Michael C. Wicks may publish in the future.

Co-authorship network of co-authors of Michael C. Wicks

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

All Works

20 of 20 papers shown
1.
Wicks, Michael C., et al.. (2016). Statistical analysis of measured ground penetrating radar data. 910. 64–69. 1 indexed citations
2.
Baylis, Charles, et al.. (2012). Chirp optimization using piecewise linear approach. 23–26. 1 indexed citations
3.
Qiu, Robert C., Changchun Zhang, Zhen Hu, & Michael C. Wicks. (2012). Towards A Large-Scale Cognitive Radio Network Testbed: Spectrum Sensing, System Architecture, and Distributed Sensing. Journal of Communications. 7(7). 14 indexed citations
4.
Zhang, Changchun, Zhen Hu, Feng Lin, et al.. (2011). Cognitive radio network as wireless sensor network (I): Architecture, testbed, and experiment. 4. 111–117. 7 indexed citations
5.
Wicks, Michael C., Yuhong Zhang, & Richard A. Schneible. (2010). A Generalized Inner Product Based Algorithm for Improved Detection and Discrimination of Over Resolved Targets in MIMO Radar. 1–4. 1 indexed citations
6.
Capraro, Gerard T., et al.. (2007). Intelligent Sensor - WiFi.. International Conference on Artificial Intelligence. 3–7. 1 indexed citations
7.
Antonik, Paul, Michael C. Wicks, Hugh Griffiths, & Christopher J. Baker. (2006). Range-dependent beamforming using element level waveform diversity. 1–6. 177 indexed citations
8.
Antonik, Paul, Michael C. Wicks, Hugh Griffiths, & Chris Baker. (2006). Multi-Mission Multi-Mode Waveform Diversity. 580–582. 126 indexed citations
9.
Antonik, Paul, Michael C. Wicks, Hugh Griffiths, & Chris Baker. (2006). Frequency Diverse Array Radars. 215–217. 507 indexed citations breakdown →
10.
Capraro, Gerard T., et al.. (2006). Demonstration of knowledge-aided space-time adaptive processing using measured airborne data. IEE Proceedings - Radar Sonar and Navigation. 153(6). 487–494. 29 indexed citations
11.
Maio, Antonio De, Alfonso Farina, & Michael C. Wicks. (2005). KB-GLRT: exploiting knowledge of the clutter ridge in airborne radar. IEE Proceedings - Radar Sonar and Navigation. 152(6). 421–428. 18 indexed citations
12.
Griffiths, Hugh, et al.. (2005). Denial of bistatic hosting by spatial–temporal waveform design. IEE Proceedings - Radar Sonar and Navigation. 152(2). 81–88. 7 indexed citations
13.
Capraro, Gerard T., et al.. (2004). Knowledge Discovery for Electromagnetic (EM) Compatibility.. 8–14. 1 indexed citations
14.
Brown, R., et al.. (2004). System survey of deep penetrating radar. 1. 179–182.
15.
Hale, T.B., Michael A. Temple, John Raquet, Mark E. Oxley, & Michael C. Wicks. (2003). Localised three-dimensional adaptive spatial–temporal processing for airborne radar. IEE Proceedings - Radar Sonar and Navigation. 150(1). 18–22. 33 indexed citations
16.
Hale, T.B., Michael A. Temple, Michael C. Wicks, John Raquet, & Mark E. Oxley. (2002). Performance characterisation of hybrid STAP architecture incorporating elevation interferometry. IEE Proceedings - Radar Sonar and Navigation. 149(2). 77–82. 5 indexed citations
17.
Wicks, Michael C., et al.. (2001). Development of a statistical procedure for detecting the number of signals in a radar measurement. IEE Proceedings - Radar Sonar and Navigation. 148(4). 219–226. 31 indexed citations
18.
Adve, Raviraj, T.B. Hale, & Michael C. Wicks. (2000). Practical joint domain localised adaptive processing in homogeneous and nonhomogeneous environments. Part 1: Homogeneous environments. IEE Proceedings - Radar Sonar and Navigation. 147(2). 57–65. 70 indexed citations
19.
Adve, Raviraj, T.B. Hale, & Michael C. Wicks. (2000). Practical joint domain localised adaptive processing in homogeneous and nonhomogeneous environments. Part 2: Nonhomogeneous environments. IEE Proceedings - Radar Sonar and Navigation. 147(2). 66–74. 64 indexed citations
20.
Chen, Pinyuen, William L. Melvin, & Michael C. Wicks. (1999). Screening among Multivariate Normal Data. Journal of Multivariate Analysis. 69(1). 10–29. 88 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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