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 57 Citations 12,057 228 World Ranking 1875 National Ranking 1034

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Algorithm

Visualization, Algorithm, Data visualization, Topology and Data structure are his primary areas of study. His studies deal with areas such as Geometric data analysis, Theoretical computer science, Scalar, Feature extraction and Data science as well as Visualization. His Algorithm research incorporates themes from Polygon mesh, Computer graphics and Rendering.

Valerio Pascucci has researched Data visualization in several fields, including Data modeling, Manifold and Terrain. His Topology research is multidisciplinary, relying on both Scalar field, Scientific visualization, Computational geometry and Polygon. His study in Data structure is interdisciplinary in nature, drawing from both Continuous function and Solid modeling.

His most cited work include:

  • Contour trees and small seed sets for isosurface traversal (292 citations)
  • Spectral surface quadrangulation (290 citations)
  • Terrain simplification simplified: a general framework for view-dependent out-of-core visualization (259 citations)

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

His primary areas of study are Visualization, Topology, Algorithm, Data visualization and Artificial intelligence. His Visualization research is multidisciplinary, incorporating perspectives in Scalability, Theoretical computer science, Rendering and Data science. His work carried out in the field of Theoretical computer science brings together such families of science as Tree traversal and Data structure.

His research on Topology often connects related topics like Computational geometry. His studies in Algorithm integrate themes in fields like Polygon mesh, Representation, Computer graphics, Scalar and Vector field. His Data visualization research incorporates elements of Data modeling and Feature extraction.

He most often published in these fields:

  • Visualization (35.21%)
  • Topology (16.57%)
  • Algorithm (15.68%)

What were the highlights of his more recent work (between 2015-2021)?

  • Visualization (35.21%)
  • Artificial intelligence (12.43%)
  • Ray tracing (3.55%)

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

Visualization, Artificial intelligence, Ray tracing, Rendering and Scalability are his primary areas of study. Data visualization and Interactive visualization are the primary areas of interest in his Visualization study. The Data visualization study combines topics in areas such as Pipeline, Leverage and Modular design.

His research integrates issues of Machine learning, Data mining, Computer vision and Pattern recognition in his study of Artificial intelligence. Valerio Pascucci combines subjects such as Use case, Data management and Parallel computing with his study of Scalability. His Volume rendering study also includes fields such as

  • Polygon mesh which connect with Effective method and Ray marching,
  • Polygon that connect with fields like Algorithm.

Between 2015 and 2021, his most popular works were:

  • Visualizing High-Dimensional Data: Advances in the Past Decade (167 citations)
  • Visual Exploration of Semantic Relationships in Neural Word Embeddings (51 citations)
  • A Virtual Reality Visualization Tool for Neuron Tracing (42 citations)

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

  • Artificial intelligence
  • Operating system
  • Programming language

Valerio Pascucci focuses on Visualization, Data visualization, Computer graphics, Data mining and Human–computer interaction. His work deals with themes such as Algorithm, Topology, Robustness and Component, which intersect with Visualization. His Algorithm study integrates concerns from other disciplines, such as Polygon, Rendering, Volume rendering, Volume ray casting and Isosurface.

His Topology study incorporates themes from Graphical user interface and Molecular graph. His research in Data visualization intersects with topics in Data science, Pipeline, Modular design, Bandwidth and Data set. The study incorporates disciplines such as Domain, Grassmannian, Clustering high-dimensional data, Probabilistic risk assessment and Atlas in addition to Data mining.

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

The contour spectrum

Chandrajit L. Bajaj;Valerio Pascucci;Daniel R. Schikore.
ieee visualization (1997)

532 Citations

Visualization of large terrains made easy

Peter Lindstrom;Valerio Pascucci.
ieee visualization (2001)

493 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

Contour trees and small seed sets for isosurface traversal

Marc van Kreveld;René van Oostrum;Chandrajit Bajaj;Valerio Pascucci.
symposium on computational geometry (1997)

441 Citations

Spectral surface quadrangulation

Shen Dong;Peer-Timo Bremer;Michael Garland;Valerio Pascucci.
international conference on computer graphics and interactive techniques (2006)

395 Citations

Robust on-line computation of Reeb graphs: simplicity and speed

Valerio Pascucci;Giorgio Scorzelli;Peer-Timo Bremer;Ajith Mascarenhas.
international conference on computer graphics and interactive techniques (2007)

302 Citations

Fast isocontouring for improved interactivity

Chandrajit L. Bajaj;Valerio Pascucci;Daniel R. Schikore.
symposium on volume visualization (1996)

284 Citations

Visualizing High-Dimensional Data: Advances in the Past Decade

Shusen Liu;Dan Maljovec;Bei Wang;Peer-Timo Bremer.
IEEE Transactions on Visualization and Computer Graphics (2017)

282 Citations

Morse-smale complexes for piecewise linear 3-manifolds

Herbert Edelsbrunner;John Harer;Vijay Natarajan;Valerio Pascucci.
symposium on computational geometry (2003)

276 Citations

A topological hierarchy for functions on triangulated surfaces

P.-T. Bremer;B. Hamann;H. Edelsbrunner;V. Pascucci.
IEEE Transactions on Visualization and Computer Graphics (2004)

255 Citations

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Best Scientists Citing Valerio Pascucci

Han-Wei Shen

Han-Wei Shen

The Ohio State University

Publications: 69

Kwan-Liu Ma

Kwan-Liu Ma

University of California, Davis

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Bernd Hamann

Bernd Hamann

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Cláudio T. Silva

Cláudio T. Silva

New York University

Publications: 47

Chandrajit L. Bajaj

Chandrajit L. Bajaj

The University of Texas at Austin

Publications: 45

Scott Klasky

Scott Klasky

Oak Ridge National Laboratory

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Peer-Timo Bremer

Peer-Timo Bremer

Lawrence Livermore National Laboratory

Publications: 36

Thomas Ertl

Thomas Ertl

University of Stuttgart

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Kenneth I. Joy

Kenneth I. Joy

University of California, Davis

Publications: 28

Gerik Scheuermann

Gerik Scheuermann

Leipzig University

Publications: 26

Herbert Edelsbrunner

Herbert Edelsbrunner

Institute of Science and Technology Austria

Publications: 25

Bianca Falcidieno

Bianca Falcidieno

National Academies of Sciences, Engineering, and Medicine

Publications: 25

Jack Snoeyink

Jack Snoeyink

University of North Carolina at Chapel Hill

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Chris R. Johnson

Chris R. Johnson

University of Utah

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Holger Theisel

Holger Theisel

Otto-von-Guericke University Magdeburg

Publications: 23

Torsten Möller

Torsten Möller

University of Vienna

Publications: 23

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