D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 35 Citations 42,072 126 World Ranking 7323 National Ranking 3429

Research.com Recognitions

Awards & Achievements

2015 - Member of the National Academy of Sciences

2010 - SIAM Fellow For contributions to stochastic processes, image analysis, and statistical learning.

Overview

What is he best known for?

The fields of study Donald Geman is best known for:

  • Statistics
  • Algorithm
  • Markov chain Monte Carlo

His work on Artificial intelligence expands to the thematically related Regularization (linguistics). Much of his study explores Artificial intelligence relationship to Regularization (linguistics). His study in Inverse problem extends to Mathematical analysis with its themes. Donald Geman frequently studies issues relating to Mathematical analysis and Inverse problem. In his study, he carries out multidisciplinary Classification of discontinuities and Smoothness research. In his articles, Donald Geman combines various disciplines, including Smoothness and Classification of discontinuities. His research on Image (mathematics) often connects related topics like Image processing. Donald Geman incorporates Image processing and Image restoration in his studies. His Image restoration study typically links adjacent topics like Image (mathematics).

His most cited work include:

  • Constrained restoration and the recovery of discontinuities (993 citations)
  • Nonlinear image recovery with half-quadratic regularization (788 citations)

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

His work focuses on many connections between Binary tree and other disciplines, such as Combinatorics, that overlap with his field of interest in Tree (set theory). Many of his studies on Tree (set theory) involve topics that are commonly interrelated, such as Combinatorics. Many of his studies involve connections with topics such as Inverse and Affine transformation and Geometry. His Geometry research extends to the thematically linked field of Inverse. He incorporates Artificial intelligence and Data science in his research. Donald Geman integrates Mathematical analysis and Distribution (mathematics) in his research. In his works, he conducts interdisciplinary research on Distribution (mathematics) and Mathematical analysis. He integrates Algorithm with Binary tree in his research. Much of his study explores Image (mathematics) relationship to Similarity (geometry).

Donald Geman most often published in these fields:

  • Artificial intelligence (83.33%)
  • Mathematical analysis (41.67%)
  • Algorithm (41.67%)

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

Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*

Stuart Geman;Donald Geman.
Journal of Applied Statistics (1993)

29546 Citations

Tackling the widespread and critical impact of batch effects in high-throughput data

Jeffrey T. Leek;Robert B. Scharpf;Héctor Corrada Bravo;Héctor Corrada Bravo;David Simcha.
Nature Reviews Genetics (2010)

1774 Citations

Constrained restoration and the recovery of discontinuities

D. Geman;G. Reynolds.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1992)

1558 Citations

Shape quantization and recognition with randomized trees

Yali Amit;Donald Geman.
Neural Computation (1997)

1490 Citations

Nonlinear image recovery with half-quadratic regularization

D. Geman;Chengda Yang.
IEEE Transactions on Image Processing (1995)

1066 Citations

Boundary detection by constrained optimization

D. Geman;S. Geman;C. Graffigne;P. Dong.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1990)

733 Citations

An active testing model for tracking roads in satellite images

D. Geman;B. Jedynak.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)

727 Citations

Simple decision rules for classifying human cancers from gene expression profiles

Aik Choon Tan;Daniel Q. Naiman;Lei Xu;Raimond L. Winslow.
Bioinformatics (2005)

445 Citations

Coarse-to-Fine Face Detection

Francois Fleuret;Donald Geman.
International Journal of Computer Vision (2001)

389 Citations

Random fields and inverse problems in imaging

D. Geman.
(1990)

383 Citations

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