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 43 Citations 8,606 94 World Ranking 4993 National Ranking 2459

Overview

What is he best known for?

The fields of study Yaron Lipman is best known for:

  • Orthogonal coordinates
  • Differential geometry
  • Geometry

Within one scientific family, Yaron Lipman focuses on topics pertaining to Statistics under Discriminant function analysis, and may sometimes address concerns connected to Matching (statistics). In his study, he carries out multidisciplinary Matching (statistics) and Statistics research. His research in Property (philosophy) tackles topics such as Epistemology which are related to areas like Simple (philosophy). His research links Epistemology with Simple (philosophy). His Composite material study typically links adjacent topics like Matrix (chemical analysis) and Flattening. His studies link Composite material with Matrix (chemical analysis). Many of his studies on Computer graphics (images) apply to Planar as well. The study of Planar is intertwined with the study of Computer graphics (images) in a number of ways. His studies link Pairwise comparison with Artificial intelligence.

His most cited work include:

  • Point convolutional neural networks by extension operators (307 citations)
  • Linear rotation-invariant coordinates for meshes (288 citations)
  • Möbius voting for surface correspondence (270 citations)

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

Yaron Lipman applies the principles of Polygon mesh, Surface (topology) and Regular polygon in his work under Geometry. His research is interdisciplinary, bridging the disciplines of Geometry and Surface (topology). His Artificial intelligence research is linked to Artificial neural network and Image (mathematics), among other subjects. His Image (mathematics) study often links to related topics such as Artificial intelligence. While working on this project, Yaron Lipman studies both Algorithm and Programming language. He merges Programming language with Algorithm in his study. His Mathematical analysis study frequently intersects with other fields, such as Bounded function. His Bounded function study frequently draws parallels with other fields, such as Mathematical analysis. His Combinatorics study frequently draws connections to adjacent fields such as Topology (electrical circuits).

Yaron Lipman most often published in these fields:

  • Geometry (56.06%)
  • Algorithm (45.45%)
  • Artificial intelligence (42.42%)

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

Laplacian surface editing

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

1356 Citations

Blended intrinsic maps

Vladimir G. Kim;Yaron Lipman;Thomas Funkhouser.
international conference on computer graphics and interactive techniques (2011)

459 Citations

Linear rotation-invariant coordinates for meshes

Yaron Lipman;Olga Sorkine;David Levin;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2005)

420 Citations

Green Coordinates

Yaron Lipman;David Levin;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2008)

417 Citations

Möbius voting for surface correspondence

Yaron Lipman;Thomas Funkhouser.
international conference on computer graphics and interactive techniques (2009)

410 Citations

Differential coordinates for interactive mesh editing

Y. Lipman;O. Sorkine;D. Cohen-Or;D. Levin.
Proceedings Shape Modeling Applications, 2004. (2004)

375 Citations

Point convolutional neural networks by extension operators

Matan Atzmon;Haggai Maron;Yaron Lipman.
ACM Transactions on Graphics (2018)

288 Citations

Coordinates for instant image cloning

Zeev Farbman;Gil Hoffer;Yaron Lipman;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2009)

282 Citations

Parameterization-free projection for geometry reconstruction

Yaron Lipman;Daniel Cohen-Or;David Levin;Hillel Tal-Ezer.
international conference on computer graphics and interactive techniques (2007)

270 Citations

Differential Coordinates for Interactive Mesh Editing

Yaron Lipman;Olga Sorkine;Daniel Cohen-Or;David Levin.
Untitled Event (2004)

231 Citations

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Best Scientists Citing Yaron Lipman

Michael M. Bronstein

Michael M. Bronstein

Imperial College London

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Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

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Maks Ovsjanikov

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École Polytechnique

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Ligang Liu

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University of Science and Technology of China

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Hans-Peter Seidel

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Max Planck Institute for Informatics

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Emanuele Rodolà

Emanuele Rodolà

Sapienza University of Rome

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Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

Publications: 45

Alexander M. Bronstein

Alexander M. Bronstein

Technion – Israel Institute of Technology

Publications: 39

Daniel Cremers

Daniel Cremers

Technical University of Munich

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Hao Zhang

Hao Zhang

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Ron Kimmel

Ron Kimmel

Technion – Israel Institute of Technology

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Yu-Kun Lai

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Zhejiang University

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