D-Index & Metrics Best Publications
David G. Stork

David G. Stork

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
Computer Science D-index 37 Citations 9,016 187 World Ranking 5173 National Ranking 2541

Research.com Recognitions

Awards & Achievements

2018 - IEEE Fellow For contributions to pattern recognition and image analysis

2016 - ACM Senior Member

2016 - OSA Fellows David G. Stork Rambus Inc., United States For pioneering contributions to the theory and practice of computational imaging, computer vision and pattern recognition, including their application to the study of art.

2012 - SPIE Fellow

2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition education, machine learning, speech recognition, and the application of computer vision to the study of art.

1965 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Optics
  • Computer vision

David G. Stork mainly investigates Artificial intelligence, Speech recognition, Computer graphics, Information retrieval and Algorithm. His Artificial intelligence research is multidisciplinary, relying on both Aesthetics, Machine learning and Computer vision. His Speechreading study in the realm of Speech recognition connects with subjects such as Line.

His work deals with themes such as Scrolling and Reading, which intersect with Information retrieval. David G. Stork has researched Algorithm in several fields, including Entropy, Generalization, Bitwise operation and Pruning. His Pruning study combines topics in areas such as Backpropagation, Nonlinear system, Recursion and Error function.

His most cited work include:

  • Pattern Classification (2nd ed.) (5204 citations)
  • Pattern Classification (2nd Edition) (1931 citations)
  • Second order derivatives for network pruning: Optimal Brain Surgeon (1159 citations)

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

His main research concerns Artificial intelligence, Computer vision, Painting, Optics and Computer graphics. His Artificial intelligence research incorporates elements of Machine learning, Speech recognition and Pattern recognition. Specifically, his work in Speech recognition is concerned with the study of Speechreading.

Image, Digital image and Iterative reconstruction are the subjects of his Computer vision studies. His research investigates the link between Painting and topics such as Computer graphics that cross with problems in Studio. His work on Renaissance art as part of general Art history study is frequently linked to Projection, therefore connecting diverse disciplines of science.

He most often published in these fields:

  • Artificial intelligence (38.89%)
  • Computer vision (29.63%)
  • Painting (25.31%)

What were the highlights of his more recent work (between 2009-2021)?

  • Optics (17.59%)
  • Artificial intelligence (38.89%)
  • Computer vision (29.63%)

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

His scientific interests lie mostly in Optics, Artificial intelligence, Computer vision, Computer graphics and Pixel. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition. His study on Image, Iterative reconstruction and Optical flow is often connected to Tikhonov regularization as part of broader study in Computer vision.

His studies in Computer graphics integrate themes in fields like Matching, Painting and Electronic imaging. His Image sensor study integrates concerns from other disciplines, such as Reset and Algorithm. The various areas that David G. Stork examines in his Algorithm study include Sampling and Oversampling.

Between 2009 and 2021, his most popular works were:

  • Image sensor sampled at non-uniform intervals (39 citations)
  • Focusing and Focus Metrics for a Plenoptic Imaging System (35 citations)
  • Phase Gratings with Odd Symmetry for High-Resolution Lensed and Lensless Optical Sensing (24 citations)

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

  • Artificial intelligence
  • Optics
  • Computer vision

David G. Stork mostly deals with Optics, Artificial intelligence, Computer vision, Image sensor and Pixel. As a member of one scientific family, he mostly works in the field of Optics, focusing on Phase and, on occasion, Spatial frequency. David G. Stork has included themes like Mondrian and Machine learning in his Artificial intelligence study.

His Computer vision research integrates issues from Infrared and Computer graphics. The Image sensor study combines topics in areas such as Reset, Algorithm, Sampling and Electronic engineering. His Pixel study which covers Binary number that intersects with Sample, Statistics, Process and Tracking.

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

Pattern Classification

Peter E. Hart;Richard O. Duda;David G. Stork.
(1973)

48622 Citations

Pattern Classification (2nd ed.)

Richard O. Duda;Peter E. Hart;David G. Stork.
(1999)

5361 Citations

Pattern Classification (2nd Edition)

Richard O. Duda;Peter E. Hart;David G. Stork.
(2000)

2467 Citations

Second order derivatives for network pruning: Optimal Brain Surgeon

Babak Hassibi;David G. Stork.
neural information processing systems (1992)

1712 Citations

Manual entry interactive paper and electronic document handling and processing system

Gregg Wolf;Stork David G.
(1995)

1025 Citations

Optimal Brain Surgeon and general network pruning

B. Hassibi;D.G. Stork;G.J. Wolff.
IEEE International Conference on Neural Networks (1993)

602 Citations

Content based web advertising

Jamey Graham;David G. Stork.
(2000)

476 Citations

Method and apparatus for document verification and tracking

Guregorii Jiei Uorufu;Deibitsudo Jii Sutooku;Kee Benkatetsushiyu Purasado.
(1995)

433 Citations

Speechreading by Man and Machine: Models, Systems, and Applications

David G. Stork;Marcus E. Hennecke.
(1996)

297 Citations

Speechreading by Humans and Machines

David G. Stork;Marcus E. Hennecke.
(1996)

257 Citations

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