The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Michael C. Wicks sits on this spectrum.
This scientist: 379 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Michael C. Wicks sits on this spectrum.
This scientist: 47 D-Index — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Michael C. Wicks is affiliated with the University of Dayton in the United States. Their research spans multiple disciplines within engineering and environmental science, contributing notably to fields such as aerospace engineering, environmental engineering, biomedical engineering, electrical and electronic engineering, and artificial intelligence.
Their scientific work covers a range of topics, with a significant focus on radar systems and signal processing technologies. The main topics addressed in their research include:
Several recent publications provide insight into the breadth of their interdisciplinary work. Selected papers include:
Their publications have appeared most frequently in the following venues:
Frequent collaborators include Brad Dalrymple, Blake Allingham, Warren Jones, Muftah Akroush, and Sandeep Gogineni. These coauthors have been involved in multiple projects reflecting the scientist's interdisciplinary research interests.
Michael C. Wicks has contributed notably to engineering disciplines, with eight publications listed in engineering and five in environmental science. Subfields with multiple publications include aerospace engineering, environmental engineering, and biomedical engineering.
Recognition for their work includes the IEEE Dennis J. Picard Medal for Radar Technologies and Applications awarded in 2013 for leadership and developments in fully adaptive radar, advanced space-time adaptive processing (STAP), knowledge-based signal processing, and waveform diversity.
P. Antonik;M.C. Wicks;H.D. Griffiths;C.J. Baker
Hugh Griffiths;Lawrence Cohen;Simon Watts;Eric Mokole
A. Aubry;A. DeMaio;A. Farina;M. Wicks
T. K. Sarkar;Michael C. Wicks
Tapan Kumar Sarkar;Hong Wang;Sheeyun Park;R. Adve
M.C. Wicks;M. Rangaswamy;R. Adve;T.B. Hale
Tapan K. Sarkar;Michael C. Wicks;Magdalena Salazar-Palma;Robert J. Bonneau
Paul Antonik;Michael C. Wicks;Hugh D. Griffiths;Christopher J. Baker
L. Lo Monte;D. Erricolo;F. Soldovieri;M.C. Wicks
P. Antonik;M.C. Wicks;H.D. Griffiths;C.J. Baker
W.L. Melvin;M.C. Wicks
G.T. Capraro;A. Farina;H. Griffiths;M.C. Wicks
P. Baizert;T.B. Hale;M.A. Temple;M.C. Wicks
Michael J. Nowak;Zhiping Zhang;Yang Qu;Dimitri A. Dessources
A. Aubry;A. De Maio;M. Piezzo;A. Farina
D. Ghosh;A. De;M.C. Taylor;T.K. Sarkar
W.L. Melvin;M.C. Wicks;R.D. Brown
Robert C. Qiu;Zhen Hu;Husheng Li;Michael C. Wicks
Pinyuen Chen;William L. Melvin;Michael C. Wicks
Michael C. Wicks;Paul Antonik
Magdalena Salazar-Palma;Tapan Sarkar;Michael Wicks
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