H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 92 Citations 47,394 212 World Ranking 227 National Ranking 136

Research.com Recognitions

Awards & Achievements

2019 - A. M. Turing Award For fundamental contributions to 3D computer graphics, and the impact of computer-generated imagery (CGI) in filmmaking and other applications.

2008 - ACM Fellow For contributions to rendering theory and systems.

2007 - Fellow of the American Academy of Arts and Sciences

1999 - Member of the National Academy of Engineering For contributions to computer graphics and to the practice of rendering complex scenes.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Programming language

His main research concerns Computer graphics, Rendering, Artificial intelligence, Computer vision and Computer graphics. His work in Computer graphics tackles topics such as Specular reflection which are related to areas like WYSIWYG, Painting and Reflection. His work focuses on many connections between Rendering and other disciplines, such as Algorithm, that overlap with his field of interest in Polygon and Methods of contour integration.

His study in the field of Geometry instancing and Procedural modeling also crosses realms of Ecosystem and Scene statistics. His research in Computer vision focuses on subjects like Flow, which are connected to Node, Network packet, Set and Hierarchical clustering. His research integrates issues of Object, Scattering, Data visualization and Information retrieval in his study of Computer graphics.

His most cited work include:

  • Light field rendering (3195 citations)
  • ShapeNet: An Information-Rich 3D Model Repository (1726 citations)
  • Light field photography with a hand-held plenoptic camera (1527 citations)

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

Artificial intelligence, Rendering, Computer graphics, Computer vision and Parallel computing are his primary areas of study. His study on Object is often connected to Scene statistics as part of broader study in Artificial intelligence. His study in Rendering is interdisciplinary in nature, drawing from both Algorithm, Software rendering and Graphics.

His Computer graphics research is multidisciplinary, relying on both Pixel and Visualization, Data visualization. His study in Image-based lighting, Spherical harmonic lighting and Light field is carried out as part of his studies in Computer vision. His Parallel computing study incorporates themes from Computer architecture, Compiler, Programming paradigm and General-purpose computing on graphics processing units.

He most often published in these fields:

  • Artificial intelligence (23.46%)
  • Rendering (21.54%)
  • Computer graphics (20.38%)

What were the highlights of his more recent work (between 2013-2021)?

  • Artificial intelligence (23.46%)
  • Computer vision (17.31%)
  • Computer graphics (20.38%)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Computer graphics, Data visualization and Compiler. Pat Hanrahan interconnects Machine learning and Process in the investigation of issues within Artificial intelligence. In general Computer vision, his work in RGB color model is often linked to Trajectory optimization, Scene statistics and Robotics linking many areas of study.

Pat Hanrahan has researched Computer graphics in several fields, including Schema, Pixel, Data field and Data type. His biological study spans a wide range of topics, including Engineering drawing, Graphical user interface, Field, User interface and Information retrieval. His Compiler research is multidisciplinary, incorporating perspectives in Image processing, Solver, Polygon mesh and Computational science.

Between 2013 and 2021, his most popular works were:

  • ShapeNet: An Information-Rich 3D Model Repository (1726 citations)
  • Radiosity and Realistic Image Synthesis (537 citations)
  • Darkroom: compiling high-level image processing code into hardware pipelines (132 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

His primary areas of study are Artificial intelligence, Computer vision, Leverage, Object and Scale. Borrowing concepts from Particle filter, Pat Hanrahan weaves in ideas under Artificial intelligence. His research in Computer vision is mostly concerned with RGB color model.

His research investigates the connection between Object and topics such as Benchmark that intersect with problems in Deep learning. His Computer graphics research incorporates themes from WordNet, Technical report, Data visualization, Interface and Taxonomy. His research investigates the connection with Dram and areas like Video processing which intersect with concerns in Computer graphics.

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

Light field rendering

Marc Levoy;Pat Hanrahan.
international conference on computer graphics and interactive techniques (1996)

4913 Citations

Volume rendering

Robert A. Drebin;Loren Carpenter;Pat Hanrahan.
international conference on computer graphics and interactive techniques (1988)

2519 Citations

Light Field Photography with a Hand-held Plenoptic Camera

Ren Ng;Marc Levoy;Mathieu Br;Gene Duval.
(2005)

2352 Citations

Brook for GPUs: stream computing on graphics hardware

Ian Buck;Tim Foley;Daniel Horn;Jeremy Sugerman.
international conference on computer graphics and interactive techniques (2004)

1772 Citations

ShapeNet: An Information-Rich 3D Model Repository

Angel X. Chang;Thomas A. Funkhouser;Leonidas J. Guibas;Pat Hanrahan.
arXiv: Graphics (2015)

1236 Citations

Larrabee: a many-core x86 architecture for visual computing

Larry Seiler;Doug Carmean;Eric Sprangle;Tom Forsyth.
international conference on computer graphics and interactive techniques (2008)

1140 Citations

A practical model for subsurface light transport

Henrik Wann Jensen;Stephen R. Marschner;Marc Levoy;Pat Hanrahan.
international conference on computer graphics and interactive techniques (2001)

1118 Citations

Radiosity and Realistic Image Synthesis

Michael F. Cohen;John Wallace;Pat Hanrahan.
(2016)

1082 Citations

A rapid hierarchical radiosity algorithm

Pat Hanrahan;David Salzman;Larry Aupperle.
international conference on computer graphics and interactive techniques (1991)

893 Citations

Polaris: a system for query, analysis, and visualization of multidimensional relational databases

C. Stolte;D. Tang;P. Hanrahan.
IEEE Transactions on Visualization and Computer Graphics (2002)

870 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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