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 32 Citations 4,413 131 World Ranking 7430 National Ranking 187

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer graphics
  • Computer vision

Tobias Isenberg spends much of his time researching Data visualization, Visualization, Rendering, Computer graphics and Artificial intelligence. His studies in Visualization integrate themes in fields like Interactive 3d and Offset. Tobias Isenberg combines subjects such as Multimedia and Tiled rendering, Software rendering with his study of Rendering.

His work investigates the relationship between Computer graphics and topics such as Polygon that intersect with problems in Polygon mesh and Silhouette. Tobias Isenberg has included themes like Machine learning and Computer vision in his Artificial intelligence study. The Information visualization study combines topics in areas such as Scientific visualization and Human–computer interaction.

His most cited work include:

  • State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video (198 citations)
  • A Systematic Review on the Practice of Evaluating Visualization (187 citations)
  • A developer's guide to silhouette algorithms for polygonal models (168 citations)

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

His main research concerns Visualization, Human–computer interaction, Computer graphics, Artificial intelligence and Rendering. His work on Data visualization, Information visualization and Scientific visualization as part of general Visualization study is frequently connected to Context, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Tobias Isenberg interconnects Interactive visualization, Interface and Data exploration in the investigation of issues within Human–computer interaction.

His study in the field of Stippling is also linked to topics like Abstraction and Flow visualization. Tobias Isenberg usually deals with Artificial intelligence and limits it to topics linked to Computer vision and Computer graphics and Polygon. His Rendering study combines topics in areas such as Animation, Multimedia, Information retrieval and Software rendering.

He most often published in these fields:

  • Visualization (45.21%)
  • Human–computer interaction (34.57%)
  • Computer graphics (28.19%)

What were the highlights of his more recent work (between 2016-2021)?

  • Visualization (45.21%)
  • Human–computer interaction (34.57%)
  • Data visualization (13.83%)

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

Tobias Isenberg mainly focuses on Visualization, Human–computer interaction, Data visualization, Scientific visualization and 3D interaction. His Visualization research incorporates themes from Domain, Field and Taxonomy. His Human–computer interaction research is multidisciplinary, incorporating perspectives in Interactive visualization, User interface and Data exploration.

His research links Information visualization with Data visualization. His study looks at the intersection of Information visualization and topics like Illustrative visualization with Theoretical computer science. His Scientific visualization research includes themes of Shading and Engineering drawing.

Between 2016 and 2021, his most popular works were:

  • Vispubdata.org: A Metadata Collection About IEEE Visualization (VIS) Publications (49 citations)
  • Mouse, Tactile, and Tangible Input for 3D Manipulation (44 citations)
  • Visualization as Seen through its Research Paper Keywords (35 citations)

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

  • Artificial intelligence
  • Computer graphics
  • Computer vision

His primary scientific interests are in Visualization, Human–computer interaction, Data visualization, Rendering and Immersive analytics. He is interested in Scientific visualization, which is a branch of Visualization. His studies deal with areas such as Virtual machine and Application domain as well as Human–computer interaction.

He combines subjects such as User interface, Information visualization and Field with his study of Data visualization. He has included themes like Visual guidance and Camera control in his Rendering study. The study incorporates disciplines such as Multimedia and Thesaurus in addition to Artificial intelligence.

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

A developer's guide to silhouette algorithms for polygonal models

T. Isenberg;B. Freudenberg;N. Halper;S. Schlechtweg.
IEEE Computer Graphics and Applications (2003)

298 Citations

State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video

Jan Eric Kyprianidis;J. Collomosse;Tinghuai Wang;T. Isenberg.
IEEE Transactions on Visualization and Computer Graphics (2013)

286 Citations

A Systematic Review on the Practice of Evaluating Visualization

Tobias Isenberg;Petra Isenberg;Jian Chen;Michael Sedlmair.
IEEE Transactions on Visualization and Computer Graphics (2013)

271 Citations

Depth-Dependent Halos: Illustrative Rendering of Dense Line Data

M.H. Everts;H. Bekker;J.B.T.M. Roerdink;T. Isenberg.
ieee visualization (2009)

177 Citations

Weighted graph comparison techniques for brain connectivity analysis

Basak Alper;Benjamin Bach;Nathalie Henry Riche;Tobias Isenberg.
human factors in computing systems (2013)

176 Citations

Combining silhouettes, surface, and volume rendering for surgery education and planning

Christian Tietjen;Tobias Isenberg;Bernhard Preim.
ieee vgtc conference on visualization (2005)

129 Citations

Evaluating Sketchiness as a Visual Variable for the Depiction of Qualitative Uncertainty

N. Boukhelifa;A. Bezerianos;T. Isenberg;J. Fekete.
IEEE Transactions on Visualization and Computer Graphics (2012)

127 Citations

Stylizing Silhouettes at Interactive Rates: From Silhouette Edges to Silhouette Strokes

Tobias Isenberg;Nick Halper;Thomas Strothotte.
Computer Graphics Forum (2002)

117 Citations

An interactive 3D integration of parallel coordinates and star glyphs

E. Fanea;S. Carpendale;T. Isenberg.
ieee symposium on information visualization (2005)

117 Citations

FI3D: Direct-Touch Interaction for the Exploration of 3D Scientific Visualization Spaces

Lingyun Yu;P Svetachov;P Isenberg;M H Everts.
IEEE Transactions on Visualization and Computer Graphics (2010)

105 Citations

Best Scientists Citing Tobias Isenberg

Bernhard Preim

Bernhard Preim

Otto-von-Guericke University Magdeburg

Publications: 63

Daniel Weiskopf

Daniel Weiskopf

University of Stuttgart

Publications: 23

Kwan-Liu Ma

Kwan-Liu Ma

University of California, Davis

Publications: 18

Oliver Deussen

Oliver Deussen

University of Konstanz

Publications: 15

Tim Dwyer

Tim Dwyer

Monash University

Publications: 14

Min Chen

Min Chen

University of Oxford

Publications: 13

Anna Vilanova

Anna Vilanova

Eindhoven University of Technology

Publications: 13

Thomas Ertl

Thomas Ertl

University of Stuttgart

Publications: 13

Paul L. Rosin

Paul L. Rosin

Cardiff University

Publications: 12

Raimund Dachselt

Raimund Dachselt

TU Dresden

Publications: 11

Silvia Miksch

Silvia Miksch

TU Wien

Publications: 11

Sheelagh Carpendale

Sheelagh Carpendale

Simon Fraser University

Publications: 11

David H. Laidlaw

David H. Laidlaw

Brown University

Publications: 11

Jos B. T. M. Roerdink

Jos B. T. M. Roerdink

University of Groningen

Publications: 11

Seungyong Lee

Seungyong Lee

Pohang University of Science and Technology

Publications: 10

Falk Schreiber

Falk Schreiber

University of Konstanz

Publications: 10

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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