Mike Wicks

763 total citations · 1 hit paper
7 papers, 594 citations indexed

About

Mike Wicks is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Mike Wicks has authored 7 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aerospace Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Mike Wicks's work include Radar Systems and Signal Processing (4 papers), Advanced SAR Imaging Techniques (3 papers) and Cognitive Radio Networks and Spectrum Sensing (2 papers). Mike Wicks is often cited by papers focused on Radar Systems and Signal Processing (4 papers), Advanced SAR Imaging Techniques (3 papers) and Cognitive Radio Networks and Spectrum Sensing (2 papers). Mike Wicks collaborates with scholars based in United States, United Kingdom and Italy. Mike Wicks's co-authors include Lawrence S. Cohen, Shannon D. Blunt, Hugh Griffiths, Eric L. Mokole, Simon Watts, Chris Baker, Augusto Aubry, Alfonso Farina, Marco Piezzo and Antonio De Maio and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Antennas and Propagation and Mammalian Genome.

In The Last Decade

Mike Wicks

7 papers receiving 579 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radar Spectrum Engineering and Management: Technical and Regulatory Issues

2014 414 citations Hugh Griffiths, Lawrence S. Cohen et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mike Wicks United States	6	523	181	93	90	77	7	594
Marian Bică Finland	9	447 0.9×	253 1.4×	71 0.8×	50 0.6×	121 1.6×	12	508
Cenk Sahin United States	11	393 0.8×	273 1.5×	22 0.2×	69 0.8×	81 1.1×	23	526
Mark A. Govoni United States	10	392 0.7×	108 0.6×	48 0.5×	63 0.7×	46 0.6×	31	457
Xuan Rao China	12	275 0.5×	120 0.7×	43 0.5×	136 1.5×	11 0.1×	28	437
Marc Lesturgie France	9	508 1.0×	118 0.7×	44 0.5×	123 1.4×	34 0.4×	25	561
Aifei Liu China	12	275 0.5×	89 0.5×	78 0.8×	301 3.3×	9 0.1×	39	491
Jörg Heckenbach Germany	13	618 1.2×	218 1.2×	67 0.7×	122 1.4×	39 0.5×	24	708
Seyed Mohammad Karbasi Iran	10	331 0.6×	82 0.5×	59 0.6×	82 0.9×	30 0.4×	28	372
Benjamin Nuß Germany	15	460 0.9×	369 2.0×	16 0.2×	69 0.8×	94 1.2×	54	652
H. Kuschel Germany	16	677 1.3×	181 1.0×	81 0.9×	93 1.0×	28 0.4×	47	739

Countries citing papers authored by Mike Wicks

Since Specialization

Citations

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

Fields of papers citing papers by Mike Wicks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Wicks

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

All Works

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7 of 7 papers shown

1.

Griffiths, Hugh, Lawrence S. Cohen, Simon Watts, et al.. (2014). Radar Spectrum Engineering and Management: Technical and Regulatory Issues. Proceedings of the IEEE. 103(1). 85–102. 414 indexed citations breakdown →

2.

Armit, Chris, Shanmugasundaram Venkataraman, Lorna Richardson, et al.. (2012). eMouseAtlas, EMAGE, and the spatial dimension of the transcriptome. Mammalian Genome. 23(9-10). 514–524. 28 indexed citations

3.

Li, Xia, et al.. (2012). Waveform diversity for closed-loop wide-band cognitive sensing system. 2. 323–327. 3 indexed citations

4.

Aubry, Augusto, Antonio De Maio, Marco Piezzo, Alfonso Farina, & Mike Wicks. (2012). Cognitive design of the receive filter and transmitted phase code in reverberating environment. IET Radar Sonar & Navigation. 6(9). 822–833. 119 indexed citations

5.

Qiu, Robert C., et al.. (2012). A Real Time UWB MIMO System With Programmable Transmit Waveforms: Architecture, Algorithms and Demonstrations. IEEE Transactions on Antennas and Propagation. 60(8). 3933–3940. 12 indexed citations

6.

Hu, Zhen, Changchun Zhang, Robert C. Qiu, et al.. (2012). Robust non-negative matrix factorization for joint spectrum sensing and primary user localization in cognitive radio networks. 303–307. 5 indexed citations

7.

Vannicola, Vincent C., T.B. Hale, Mike Wicks, & Paul Antonik. (2002). Ambiguity function analysis for the chirp diverse waveform (CDW). 666–671. 13 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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