ProfessorsProfessors of Georgia Institute of TechnologyChristopher F. Barnes

Christopher F. Barnes

Georgia Institute of Technology

H-index: 19

North America-United States

About Christopher F. Barnes

Christopher F. Barnes, With an exceptional h-index of 19 and a recent h-index of 7 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Synthetic Aperture Radar, Radar Signal Processing, Vector Quantization, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Aperture synthesis with digital array radars and covariant change of wavenumber variables

Covariant Formulation of Single-Pulse Imaging Radar

Abstraction and acceleration of tensor processing for element-level digital arrays

Sensor array imaging device

A feasibility study of radar-based shape and reflectivity reconstruction using variational methods

Christopher F. Barnes Information

University	Georgia Institute of Technology
Position	___
Citations(all)	1107
Citations(since 2020)	150
Cited By	988
hIndex(all)	19
hIndex(since 2020)	7
i10Index(all)	24
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Georgia Institute of Technology
Google Scholar	View Google Scholar Profile

Christopher F. Barnes Skills & Research Interests

Synthetic Aperture Radar

Radar Signal Processing

Vector Quantization

Data Mining

Top articles of Christopher F. Barnes

Title	Journal	Author(s)	Publication Date
Aperture synthesis with digital array radars and covariant change of wavenumber variables	IEEE Journal of Selected Topics in Signal Processing	Christopher F Barnes	2022/11/11
Covariant Formulation of Single-Pulse Imaging Radar		Allyson J McKinney Jay M McKinney Christopher F Barnes	2022/10/31
Abstraction and acceleration of tensor processing for element-level digital arrays		Alex Saad–Falcon Jonathan Andreasen J Clayton Kerce Ryan S Westafer Jonathan P Beaudeau ...	2022/10/11
Sensor array imaging device			2022/7/5
A feasibility study of radar-based shape and reflectivity reconstruction using variational methods	Inverse Problems	Samuel Bignardi Anthony Joseph Yezzi Alper Yildirim Christopher F Barnes Romeil Sandhu	2021/1/5