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
Computer Science D-index 96 Citations 35,677 323 World Ranking 181 National Ranking 4

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

His primary areas of investigation include Artificial intelligence, Computer vision, Algorithm, Polygon mesh and Topology. His work carried out in the field of Artificial intelligence brings together such families of science as Surface reconstruction and Pattern recognition. Daniel Cohen-Or conducts interdisciplinary study in the fields of Computer vision and Process through his research.

His Algorithm research incorporates elements of Point cloud, Outlier, Mathematical optimization, Point and Noise reduction. His work deals with themes such as Theoretical computer science, Mesh generation, T-vertices, Combinatorics and Position, which intersect with Polygon mesh. His Topology study integrates concerns from other disciplines, such as Linear system, Rigid transformation, Interpolation, Surface and Invariant.

His most cited work include:

  • Laplacian surface editing (871 citations)
  • Computing and rendering point set surfaces (708 citations)
  • Deep photo: model-based photograph enhancement and viewing (586 citations)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Computer graphics. His Artificial intelligence study focuses mostly on Image, Segmentation, Object, Feature and Rendering. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Computer graphics.

His Algorithm study combines topics from a wide range of disciplines, such as Point cloud and Polygon mesh. Topology is closely connected to Surface in his research, which is encompassed under the umbrella topic of Polygon mesh. His Pattern recognition study frequently links to other fields, such as Artificial neural network.

He most often published in these fields:

  • Artificial intelligence (56.96%)
  • Computer vision (40.21%)
  • Algorithm (14.95%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (56.96%)
  • Computer vision (40.21%)
  • Algorithm (14.95%)

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

His primary areas of study are Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Point cloud. As a part of the same scientific family, Daniel Cohen-Or mostly works in the field of Artificial intelligence, focusing on Machine learning and, on occasion, Generator. His research on Computer vision often connects related areas such as Grid.

The concepts of his Algorithm study are interwoven with issues in Monocular, Forward kinematics, Motion, Convolution and Convolutional neural network. He interconnects Test data generation, Leverage, Embedding, Object and Visualization in the investigation of issues within Pattern recognition. The study incorporates disciplines such as Graph, Polygon mesh, Noise, Surface and Point in addition to Point cloud.

Between 2018 and 2021, his most popular works were:

  • MeshCNN: a network with an edge (150 citations)
  • PU-GAN: A Point Cloud Upsampling Adversarial Network (64 citations)
  • SAGNet: structure-aware generative network for 3D-shape modeling (38 citations)

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

  • Artificial intelligence
  • Computer vision
  • Geometry

Daniel Cohen-Or mainly investigates Artificial intelligence, Pattern recognition, Image, Artificial neural network and Embedding. His Artificial intelligence research includes themes of Sequence and Computer vision. His Computer vision research integrates issues from Motion, Differentiable function and Forward kinematics.

His biological study deals with issues like Object, which deal with fields such as Segmentation, Metric and Construct. His Similarity and Texture transfer study in the realm of Image interacts with subjects such as Code. Daniel Cohen-Or works mostly in the field of Feature, limiting it down to topics relating to Upsampling and, in certain cases, Algorithm and Point cloud, as a part of the same area of interest.

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

Computing and rendering point set surfaces

M. Alexa;J. Behr;D. Cohen-Or;S. Fleishman.
IEEE Transactions on Visualization and Computer Graphics (2003)

1642 Citations

Laplacian surface editing

O. Sorkine;D. Cohen-Or;Y. Lipman;M. Alexa.
symposium on geometry processing (2004)

1215 Citations

Point set surfaces

Marc Alexa;Johannes Behr;Daniel Cohen-Or;Shachar Fleishman.
ieee visualization (2001)

1014 Citations

Bilateral mesh denoising

Shachar Fleishman;Iddo Drori;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2003)

891 Citations

Deep photo: model-based photograph enhancement and viewing

Johannes Kopf;Boris Neubert;Billy Chen;Michael Cohen.
international conference on computer graphics and interactive techniques (2008)

829 Citations

Fragment-based image completion

Iddo Drori;Daniel Cohen-Or;Hezy Yeshurun.
international conference on computer graphics and interactive techniques (2003)

825 Citations

As-rigid-as-possible shape interpolation

Marc Alexa;Daniel Cohen-Or;David Levin.
international conference on computer graphics and interactive techniques (2000)

683 Citations

A Survey on Shape Correspondence

Oliver van Kaick;Hao Zhang;Ghassan Hamarneh;Daniel Cohen-Or.
Computer Graphics Forum (2011)

616 Citations

Salient geometric features for partial shape matching and similarity

Ran Gal;Daniel Cohen-Or.
ACM Transactions on Graphics (2006)

593 Citations

Non-homogeneous Content-driven Video-retargeting

L. Wolf;M. Guttmann;D. Cohen-Or.
international conference on computer vision (2007)

590 Citations

Best Scientists Citing Daniel Cohen-Or

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 144

Ligang Liu

Ligang Liu

University of Science and Technology of China

Publications: 113

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 102

Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

Publications: 100

Markus Gross

Markus Gross

ETH Zurich

Publications: 86

Kun Zhou

Kun Zhou

Zhejiang University

Publications: 81

Shi-Min Hu

Shi-Min Hu

Tsinghua University

Publications: 74

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 69

Hao Zhang

Hao Zhang

Simon Fraser University

Publications: 68

Hong Qin

Hong Qin

Stony Brook University

Publications: 68

Kai Xu

Kai Xu

National University of Defense Technology

Publications: 66

Leif Kobbelt

Leif Kobbelt

RWTH Aachen University

Publications: 63

Ralph R. Martin

Ralph R. Martin

Cardiff University

Publications: 62

Charlie C. L. Wang

Charlie C. L. Wang

University of Manchester

Publications: 60

Takeo Igarashi

Takeo Igarashi

University of Tokyo

Publications: 58

Peter Wonka

Peter Wonka

King Abdullah University of Science and Technology

Publications: 56

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

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