H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 69 Citations 16,598 490 World Ranking 912 National Ranking 32

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Quantum mechanics
  • Operating system

Thomas Ertl mostly deals with Visualization, Computer graphics, Rendering, Data visualization and Artificial intelligence. His research investigates the connection with Visualization and areas like Human–computer interaction which intersect with concerns in Eye tracking. His Computer graphics study frequently draws connections between adjacent fields such as Frame rate.

His Rendering research integrates issues from Computational science and Software rendering. In his research, Information retrieval, Data science, Creative visualization and Analytics is intimately related to Visual analytics, which falls under the overarching field of Data visualization. His Artificial intelligence research incorporates themes from Vector field and Computer vision.

His most cited work include:

  • High-quality pre-integrated volume rendering using hardware-accelerated pixel shading (446 citations)
  • Efficiently using graphics hardware in volume rendering applications (366 citations)
  • Interactive volume on standard PC graphics hardware using multi-textures and multi-stage rasterization (280 citations)

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

His primary scientific interests are in Visualization, Computer graphics, Rendering, Artificial intelligence and Computer vision. Visualization is represented through his Data visualization, Interactive visualization, Information visualization, Scientific visualization and Visual analytics research. In Visual analytics, Thomas Ertl works on issues like Data science, which are connected to Social media.

His study in Volume rendering, Graphics hardware, Graphics, Computer graphics and Software rendering is carried out as part of his Computer graphics studies. Thomas Ertl has included themes like Polygon mesh and Texture mapping in his Volume rendering study. Thomas Ertl has researched Rendering in several fields, including Tiled rendering and Texture memory.

He most often published in these fields:

  • Visualization (42.11%)
  • Computer graphics (29.88%)
  • Rendering (22.60%)

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

  • Visualization (42.11%)
  • Artificial intelligence (20.59%)
  • Data visualization (16.56%)

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

Thomas Ertl spends much of his time researching Visualization, Artificial intelligence, Data visualization, Visual analytics and Rendering. Thomas Ertl combines subjects such as Eye tracking, Information retrieval and Human–computer interaction with his study of Visualization. His Artificial intelligence research is multidisciplinary, incorporating elements of Natural language processing, Machine learning, Computer vision and Pattern recognition.

He interconnects Social media and Analytics, Data science in the investigation of issues within Visual analytics. The subject of his Rendering research is within the realm of Computer graphics. His work on Scientific visualization, Ray tracing and Volume rendering as part of general Computer graphics study is frequently linked to High resolution, bridging the gap between disciplines.

Between 2015 and 2021, his most popular works were:

  • Visualizing ontologies with VOWL (113 citations)
  • Visualization of Eye Tracking Data: A Taxonomy and Survey (85 citations)
  • CiteRivers: Visual Analytics of Citation Patterns (57 citations)

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

  • Artificial intelligence
  • Quantum mechanics
  • Operating system

Thomas Ertl focuses on Visualization, Artificial intelligence, Visual analytics, Human–computer interaction and Information visualization. His Visualization research is multidisciplinary, incorporating perspectives in Eye tracking and Information retrieval. Thomas Ertl has included themes like Natural language processing, Machine learning, Metric and Pattern recognition in his Artificial intelligence study.

His studies deal with areas such as Analytics, Data science and Geovisualization as well as Visual analytics. His Analytics research includes elements of Social media, Cultural analytics, Theoretical computer science and Volume rendering. His study explores the link between HTML5 and topics such as Dynamic data that cross with problems in Rendering.

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

High-quality pre-integrated volume rendering using hardware-accelerated pixel shading

Klaus Engel;Martin Kraus;Thomas Ertl.
international conference on computer graphics and interactive techniques (2001)

855 Citations

Efficiently using graphics hardware in volume rendering applications

Rüdiger Westermann;Thomas Ertl.
international conference on computer graphics and interactive techniques (1998)

639 Citations

Interactive volume on standard PC graphics hardware using multi-textures and multi-stage rasterization

C. Rezk-Salama;K. Engel;M. Bauer;G. Greiner.
international conference on computer graphics and interactive techniques (2000)

529 Citations

Smart hardware-accelerated volume rendering

Stefan Roettger;Stefan Guthe;Daniel Weiskopf;Thomas Ertl.
Proceedings of the symposium on Data visualisation 2003 (2003)

376 Citations

A simple and flexible volume rendering framework for graphics-hardware-based raycasting

Simon Stegmaier;Magnus Strengert;Thomas Klein;Thomas Ertl.
eurographics (2005)

364 Citations

Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition

Junghoon Chae;Dennis Thom;Harald Bosch;Yun Jang.
visual analytics science and technology (2012)

316 Citations

State-of-the-Art of Visualization for Eye Tracking Data

Tanja Blascheck;Kuno Kurzhals;Michael Raschke;Michael Burch.
EuroVis (STARs) (2014)

295 Citations

Word Cloud Explorer: Text Analytics Based on Word Clouds

Florian Heimerl;Steffen Lohmann;Simon Lange;Thomas Ertl.
hawaii international conference on system sciences (2014)

290 Citations

Design and development of an indoor navigation and object identification system for the blind

Andreas Hub;Joachim Diepstraten;Thomas Ertl.
conference on computers and accessibility (2003)

268 Citations

Interactive clipping techniques for texture-based volume visualization and volume shading

D. Weiskopf;K. Engel;T. Ertl.
IEEE Transactions on Visualization and Computer Graphics (2003)

246 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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