H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 51 Citations 9,562 179 World Ranking 2808 National Ranking 1482

Research.com Recognitions

Awards & Achievements

2018 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Optics
  • Computer vision

Artificial intelligence, Computer vision, Computer graphics, Light field and Optics are his primary areas of study. His study explores the link between Artificial intelligence and topics such as Pattern recognition that cross with problems in State. The Computer vision study which covers Accommodation that intersects with Visual Discomfort and Binocular disparity.

His work on Computer graphics is typically connected to Compensation as part of general Computer graphics study, connecting several disciplines of science. His study in Light field is interdisciplinary in nature, drawing from both Depth perception, Eyewear, Lens and Observer. His research investigates the connection with Optics and areas like Optoelectronics which intersect with concerns in Interleaving and Aperture.

His most cited work include:

  • Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy (459 citations)
  • Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting (313 citations)
  • Compressive light field photography using overcomplete dictionaries and optimized projections (253 citations)

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

Gordon Wetzstein mainly focuses on Artificial intelligence, Computer vision, Optics, Light field and Computer graphics. His Artificial intelligence study incorporates themes from Depth perception and Non-line-of-sight propagation. While the research belongs to areas of Optics, he spends his time largely on the problem of Image quality, intersecting his research to questions surrounding Holography and Holographic display.

His Light field study combines topics in areas such as Image resolution, Parallax, Liquid-crystal display and Stereo display. His Computer graphics research incorporates themes from Projection and Human visual system model. His Virtual reality research is multidisciplinary, incorporating perspectives in Multimedia, Immersion, Perception and Gaze.

He most often published in these fields:

  • Artificial intelligence (53.78%)
  • Computer vision (47.01%)
  • Optics (22.31%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (53.78%)
  • Computer vision (47.01%)
  • Augmented reality (11.55%)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Augmented reality, Optics and Algorithm. His work is dedicated to discovering how Artificial intelligence, Pattern recognition are connected with Neural activity and other disciplines. His Computer vision research integrates issues from Optical imaging, Deep learning and Hyperspectral imaging.

The Augmented reality study combines topics in areas such as Depth perception, Virtual reality, Rendering and Holographic display. As a part of the same scientific family, Gordon Wetzstein mostly works in the field of Optics, focusing on Image quality and, on occasion, Image processing. His biological study spans a wide range of topics, including Artificial neural network, Encoder, Iterative reconstruction and Range.

Between 2019 and 2021, his most popular works were:

  • Implicit Neural Representations with Periodic Activation Functions (108 citations)
  • State of the Art on Neural Rendering (54 citations)
  • MetaSDF: Meta-Learning Signed Distance Functions (17 citations)

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

  • Artificial intelligence
  • Optics
  • Computer vision

Gordon Wetzstein mainly investigates Artificial intelligence, Computer vision, Artificial neural network, Augmented reality and Algorithm. Virtual reality is the focus of his Artificial intelligence research. His studies deal with areas such as Depth perception, Perspective, Optical imaging and Deep learning as well as Computer vision.

Gordon Wetzstein studied Artificial neural network and Representation that intersect with Computational science. Gordon Wetzstein interconnects Metaverse, Computer graphics, Rendering and Holographic display in the investigation of issues within Augmented reality. His Algorithm research includes elements of Current, Pooling, Iterative reconstruction and Leverage.

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.

Top Publications

Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy

Robert Prevedel;Robert Prevedel;Robert Prevedel;Young-Gyu Yoon;Maximilian Hoffmann;Maximilian Hoffmann;Maximilian Hoffmann;Nikita Pak.
Nature Methods (2014)

516 Citations

Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting

Gordon Wetzstein;Douglas Lanman;Matthew Hirsch;Ramesh Raskar.
international conference on computer graphics and interactive techniques (2012)

410 Citations

Compressive light field photography using overcomplete dictionaries and optimized projections

Kshitij Marwah;Gordon Wetzstein;Yosuke Bando;Ramesh Raskar.
international conference on computer graphics and interactive techniques (2013)

330 Citations

The light field stereoscope

Fu-Chung Huang;David Luebke;Gordon Wetzstein.
international conference on computer graphics and interactive techniques (2015)

328 Citations

The light field stereoscope: immersive computer graphics via factored near-eye light field displays with focus cues

Fu-Chung Huang;Kevin Chen;Gordon Wetzstein.
international conference on computer graphics and interactive techniques (2015)

277 Citations

Layered 3D: tomographic image synthesis for attenuation-based light field and high dynamic range displays

Gordon Wetzstein;Douglas Lanman;Wolfgang Heidrich;Ramesh Raskar.
international conference on computer graphics and interactive techniques (2011)

276 Citations

Fast and flexible convolutional sparse coding

Felix Heide;Wolfgang Heidrich;Gordon Wetzstein.
computer vision and pattern recognition (2015)

233 Citations

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

Vincent Sitzmann;Michael Zollhoefer;Gordon Wetzstein.
neural information processing systems (2019)

221 Citations

Saliency in VR: How Do People Explore Virtual Environments?

Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala.
IEEE Transactions on Visualization and Computer Graphics (2018)

217 Citations

Confocal non-line-of-sight imaging based on the light-cone transform.

Matthew O’Toole;David B. Lindell;Gordon Wetzstein.
Nature (2018)

206 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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