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 31 Citations 7,375 65 World Ranking 7902 National Ranking 3700

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Artificial intelligence
  • Programming language

Peter Lindstrom spends much of his time researching Algorithm, Data visualization, Vertex, Rendering and Terrain rendering. Peter Lindstrom is involved in the study of Algorithm that focuses on Out-of-core algorithm in particular. His study in Data visualization is interdisciplinary in nature, drawing from both Computational geometry, Computer graphics and Data compression, Lossless compression.

His Vertex research is multidisciplinary, incorporating elements of Quadric, Tetrahedron and Geometry. His Rendering research integrates issues from Image quality, Frame rate, Triangle strip and Regular grid. His studies deal with areas such as Level of detail, Theoretical computer science and Viewing frustum as well as Terrain rendering.

His most cited work include:

  • Real-time, continuous level of detail rendering of height fields (696 citations)
  • Fast and memory efficient polygonal simplification (263 citations)
  • Out-of-core simplification of large polygonal models (260 citations)

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

His main research concerns Algorithm, Visualization, Lossy compression, Polygon mesh and Data compression. His biological study spans a wide range of topics, including Vertex, Theoretical computer science, Rendering and Cache. His work on Data visualization and Scientific visualization as part of general Visualization study is frequently linked to Center, therefore connecting diverse disciplines of science.

His studies in Lossy compression integrate themes in fields like Floating point, Lossless compression, Computational science, Simulation and Compression. His Polygon mesh research is multidisciplinary, incorporating perspectives in Tree traversal and Parallel computing. His work carried out in the field of Data compression brings together such families of science as Image compression and Data compression ratio.

He most often published in these fields:

  • Algorithm (39.76%)
  • Visualization (25.30%)
  • Lossy compression (24.10%)

What were the highlights of his more recent work (between 2017-2021)?

  • Floating point (9.64%)
  • Lossy compression (24.10%)
  • Binary number (4.82%)

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

His scientific interests lie mostly in Floating point, Lossy compression, Binary number, Algorithm and Data compression. His Floating point research includes elements of Computational science and Compression. His research in Lossy compression intersects with topics in Visualization, Data visualization and Data science.

His work is dedicated to discovering how Binary number, Real number are connected with IEEE floating point and Significand and other disciplines. He merges Algorithm with Data quality in his research. His study ties his expertise on Variety together with the subject of Data compression.

Between 2017 and 2021, his most popular works were:

  • TTHRESH: Tensor Compression for Multidimensional Visual Data (24 citations)
  • Error Analysis of ZFP Compression for Floating-Point Data (17 citations)
  • Universal coding of the reals: alternatives to IEEE floating point (15 citations)

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

  • Algorithm
  • Artificial intelligence
  • Programming language

Peter Lindstrom focuses on Floating point, Lossy compression, Bandwidth, Error analysis and Computational science. His work on IEEE floating point as part of his general Floating point study is frequently connected to Reciprocal, thereby bridging the divide between different branches of science. His Lossy compression research incorporates elements of Data compression, Visualization, Data visualization, Arithmetic coding and Data set.

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

Real-time, continuous level of detail rendering of height fields

Peter Lindstrom;David Koller;William Ribarsky;Larry F. Hodges.
international conference on computer graphics and interactive techniques (1996)

1536 Citations

Fast and memory efficient polygonal simplification

Peter Lindstrom;Greg Turk.
ieee visualization (1998)

520 Citations

Visualization of large terrains made easy

Peter Lindstrom;Valerio Pascucci.
ieee visualization (2001)

493 Citations

Out-of-core simplification of large polygonal models

Peter Lindstrom.
international conference on computer graphics and interactive techniques (2000)

492 Citations

Terrain simplification simplified: a general framework for view-dependent out-of-core visualization

P. Lindstrom;V. Pascucci.
IEEE Transactions on Visualization and Computer Graphics (2002)

472 Citations

Fast and Efficient Compression of Floating-Point Data

P. Lindstrom;M. Isenburg.
IEEE Transactions on Visualization and Computer Graphics (2006)

422 Citations

Fixed-rate compressed floating-point arrays

Peter Lindstrom.
IEEE Transactions on Visualization and Computer Graphics (2014)

350 Citations

Image-driven simplification

Peter Lindstrom;Greg Turk.
ACM Transactions on Graphics (2000)

328 Citations

Virtual GIS: a real-time 3D geographic information system

David Koller;Peter Lindstrom;William Ribarsky;Larry F. Hodges.
ieee visualization (1995)

312 Citations

Streaming meshes

M. Isenburg;P. Lindstrom.
ieee visualization (2005)

255 Citations

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