Demo Data from EDBT 2026 / reviewers in the wild / expert
Wojciech Burakiewicz
dblp:50/3176
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 87% Visual content generation and editing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › flow visualization
particle visualization |
0.1 | 1 | 2006 | Analyzing Complex FTMS Simulations: a Case Study in High-Level Visualization of Ion Motions · IEEE Trans. Vis. Comput. Graph. 2006 |
Visualization and visual analytics
scientific visualization |
0.1 | 1 | 2006 | Analyzing Complex FTMS Simulations: a Case Study in High-Level Visualization of Ion Motions · IEEE Trans. Vis. Comput. Graph. 2006 |
Visual content generation and editing
camera control |
0.0 | 1 | 2006 | Analyzing Complex FTMS Simulations: a Case Study in High-Level Visualization of Ion Motions · IEEE Trans. Vis. Comput. Graph. 2006 |
Methods — techniques the papers use, named apart from their topics
parameterized camera control · 0.1geometric icon encoding · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Analyzing Complex FTMS Simulations: a Case Study in High-Level Visualization of Ion MotionsabstractCurrent practice in particle visualization renders particle position data directly onto the screen as points or glyphs. Using a camera placed at a fixed position, particle motions can be visualized by rendering trajectories or by animations. Applying such direct techniques to large, time dependent particle data sets often results in cluttered images in which the dynamic properties of the underlying system are difficult to interpret. In this case study we take an alternative approach to the visualization of ion motions. Instead of rendering ion position data directly, we first extract meaningful motion information from the ion position data and then map this information onto geometric primitives. Our goal is to produce high-level visualizations that reflect the physicists' way of thinking about ion dynamics. Parameterized geometric icons are defined to encode motion information of clusters of related ions. In addition, a parameterized camera control mechanism is used to analyze relative instead of only absolute ion motions. We apply the techniques to simulations of Fourier transform mass spectrometry (FTMS) experiments. The data produced by such simulations can amount to 5 10(4) ions and 10(5) timesteps. This paper discusses the requirements, design and informal evaluation of the implemented system. Wojciech Burakiewicz, Robert van Liere |
IEEE Trans. Vis. Comput. Graph. | 1 |