D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 63 Citations 14,303 361 World Ranking 481 National Ranking 216

Overview

What is he best known for?

The fields of study he is best known for:

  • Optics
  • Artificial intelligence
  • Quantum mechanics

His scientific interests lie mostly in Optics, Artificial intelligence, Holography, Computer vision and Compressed sensing. His Optics study combines topics from a wide range of disciplines, such as Image quality and Image processing. He works on Artificial intelligence which deals in particular with Iterative reconstruction.

His Holography study incorporates themes from Artificial neural network and Tomographic reconstruction. He usually deals with Computer vision and limits it to topics linked to Hyperspectral imaging and Data cube. His research in Compressed sensing intersects with topics in Mixture model, Covariance and Video camera.

His most cited work include:

  • Single disperser design for coded aperture snapshot spectral imaging (529 citations)
  • Single-shot compressive spectral imaging with a dual-disperser architecture (412 citations)
  • Adaptive optical networks using photorefractive crystals. (371 citations)

What are the main themes of his work throughout his whole career to date?

David J. Brady mainly focuses on Optics, Artificial intelligence, Computer vision, Holography and Coded aperture. David J. Brady regularly ties together related areas like Image processing in his Optics studies. His is doing research in Compressed sensing, Iterative reconstruction and Pixel, both of which are found in Artificial intelligence.

His work carried out in the field of Computer vision brings together such families of science as Lens, Coding and Computer graphics. His Coded aperture research is multidisciplinary, incorporating elements of Spectral imaging, Hyperspectral imaging, Data cube, Tomography and Coherent backscattering. His Spectrometer research includes themes of Spectroscopy and Optoelectronics.

He most often published in these fields:

  • Optics (46.00%)
  • Artificial intelligence (20.40%)
  • Computer vision (18.80%)

What were the highlights of his more recent work (between 2013-2021)?

  • Optics (46.00%)
  • Artificial intelligence (20.40%)
  • Computer vision (18.80%)

In recent papers he was focusing on the following fields of study:

David J. Brady mostly deals with Optics, Artificial intelligence, Computer vision, Coded aperture and Detector. His work in Optics addresses subjects such as Image quality, which are connected to disciplines such as Pixel. His study on Compressed sensing, Iterative reconstruction, Deep learning and Image sensor is often connected to Snapshot as part of broader study in Artificial intelligence.

He interconnects Focus and Computer graphics in the investigation of issues within Computer vision. As a member of one scientific family, David J. Brady mostly works in the field of Coded aperture, focusing on Coherent backscattering and, on occasion, Reconstruction algorithm and Photon counting. The concepts of his Detector study are interwoven with issues in Translation, Adaptive algorithm and Data cube.

Between 2013 and 2021, his most popular works were:

  • Compressive Coded Aperture Spectral Imaging: An Introduction (304 citations)
  • Large Metasurface Aperture for Millimeter Wave Computational Imaging at the Human-Scale. (177 citations)
  • Video compressive sensing using Gaussian mixture models. (135 citations)

In his most recent research, the most cited papers focused on:

  • Optics
  • Artificial intelligence
  • Quantum mechanics

His primary areas of investigation include Optics, Artificial intelligence, Compressed sensing, Computer vision and Coded aperture. His study in Optics is interdisciplinary in nature, drawing from both Image quality and Periscope antenna. In general Artificial intelligence study, his work on Hyperspectral imaging and Iterative reconstruction often relates to the realm of Snapshot, thereby connecting several areas of interest.

His Compressed sensing study combines topics in areas such as Mixture model, Computational photography, Remote sensing and Systems engineering. His studies examine the connections between Computer vision and genetics, as well as such issues in Lens, with regards to Scale, Chromatic scale, Image sensor, Modulation and Interference. The study incorporates disciplines such as Image resolution, Pixel, Spectral imaging and Photon in addition to Coded aperture.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Single disperser design for coded aperture snapshot spectral imaging

Ashwin Wagadarikar;Renu John;Rebecca Willett;David Brady.
Applied Optics (2008)

677 Citations

Single-shot compressive spectral imaging with a dual-disperser architecture

M. E. Gehm;R. John;D. J. Brady;R. M. Willett.
Optics Express (2007)

573 Citations

Adaptive optical networks using photorefractive crystals.

Demetri Psaltis;David Brady;Kelvin Wagner.
Applied Optics (1988)

551 Citations

Comparative Welfare States Data Set

Evelyne Huber;Charles Ragin;John D. Stephens;David Brady.
(2004)

486 Citations

Compressive holography

David J. Brady;Se Hoon Lim.
(2012)

484 Citations

Rich Democracies, Poor People: How Politics Explain Poverty

David Brady.
(2009)

453 Citations

Metamaterial Apertures for Computational Imaging

John Hunt;Tom Driscoll;Tom Driscoll;Alex Mrozack;Guy Lipworth.
Science (2013)

403 Citations

Optical Imaging and Spectroscopy

David Jones Brady.
(2009)

377 Citations

Rethinking the Sociological Measurement of Poverty

David Brady.
Social Forces (2003)

345 Citations

Compressive Coded Aperture Spectral Imaging: An Introduction

Gonzalo R. Arce;David J. Brady;Lawrence Carin;Henry Arguello.
IEEE Signal Processing Magazine (2014)

317 Citations

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Best Scientists Citing David J. Brady

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Apple (United States)

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Adrian Stern

Adrian Stern

Ben-Gurion University of the Negev

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Mark A. Neifeld

Mark A. Neifeld

University of Arizona

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Daniel L. Marks

Daniel L. Marks

Duke University

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Ali Adibi

Ali Adibi

Georgia Institute of Technology

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Qionghai Dai

Tsinghua University

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Aswin C. Sankaranarayanan

Aswin C. Sankaranarayanan

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Tie Jun Cui

Tie Jun Cui

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Richard G. Baraniuk

Richard G. Baraniuk

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Rebecca Willett

Rebecca Willett

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