H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 35 Citations 6,764 62 World Ranking 5764 National Ranking 2795

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical analysis
  • Geometry
  • Topology

His primary areas of investigation include Algorithm, Polygon mesh, Topology, Linear system and Artificial intelligence. His study in the field of Computational geometry also crosses realms of Geometric similarity. He combines subjects such as Rigid transformation, Conformal map, Invariant and Geometric modeling with his study of Topology.

His Invariant research incorporates elements of Point cloud, Shape analysis and Convolutional neural network. His Linear system research integrates issues from Interpolation, Linear least squares, Least squares, Coefficient matrix and Mathematical optimization. In Artificial intelligence, Yaron Lipman works on issues like Computer vision, which are connected to Computer graphics and Animation.

His most cited work include:

  • Laplacian surface editing (871 citations)
  • Blended intrinsic maps (325 citations)
  • Linear rotation-invariant coordinates for meshes (291 citations)

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

His scientific interests lie mostly in Algorithm, Surface, Artificial intelligence, Conformal map and Mathematical analysis. His Algorithm research is multidisciplinary, incorporating elements of Mathematical optimization, Relaxation, Linear system and Euclidean geometry. His work deals with themes such as Rigid transformation, Coefficient matrix, Laplace operator and Interpolation, which intersect with Linear system.

His work carried out in the field of Surface brings together such families of science as Polygon mesh, State and Combinatorics. The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition. He interconnects Numerical analysis and Geodesic, Distortion, Topology in the investigation of issues within Conformal map.

He most often published in these fields:

  • Algorithm (20.87%)
  • Surface (16.52%)
  • Artificial intelligence (16.52%)

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

  • Artificial neural network (13.04%)
  • Point cloud (12.17%)
  • Algorithm (20.87%)

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

Yaron Lipman mainly focuses on Artificial neural network, Point cloud, Algorithm, Artificial intelligence and Level set. His study in Point cloud is interdisciplinary in nature, drawing from both Sign and Implicit function. Yaron Lipman works in the field of Algorithm, namely Regularization.

He has included themes like Surface, State and Pattern recognition in his Artificial intelligence study. His Surface study introduces a deeper knowledge of Geometry. His Equivariant map research includes elements of Discrete mathematics and Invariant.

Between 2018 and 2021, his most popular works were:

  • Provably Powerful Graph Networks (76 citations)
  • SAL: Sign Agnostic Learning of Shapes From Raw Data (47 citations)
  • On the Universality of Invariant Networks (35 citations)

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

  • Mathematical analysis
  • Geometry
  • Topology

His main research concerns Artificial neural network, Point cloud, Invariant, Symmetric group and Universality. His Artificial neural network research is multidisciplinary, incorporating perspectives in Training set, Implicit function, Raw data, Deep learning and Sign. His Point cloud study deals with the bigger picture of Artificial intelligence.

The concepts of his Artificial intelligence study are interwoven with issues in Sampling, Manifold, Function, Generalization and Sample. His research on Invariant concerns the broader Pure mathematics. His Level set research is multidisciplinary, relying on both Algorithm and Regularization.

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

Laplacian surface editing

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

1215 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)

395 Citations

Blended intrinsic maps

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

395 Citations

Green Coordinates

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

383 Citations

Möbius voting for surface correspondence

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

380 Citations

Differential coordinates for interactive mesh editing

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

342 Citations

Coordinates for instant image cloning

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

273 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)

238 Citations

Differential Coordinates for Interactive Mesh Editing

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

229 Citations

Biharmonic distance

Yaron Lipman;Raif M. Rustamov;Thomas A. Funkhouser.
ACM Transactions on Graphics (2010)

186 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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