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Torsten Möller

Torsten Möller

D-Index & Metrics

Computer Science

D-Index
46
Citations
7530
World Ranking
6912
National Ranking
54

Overview

Torsten Möller is affiliated with the University of Vienna in Austria. Their research contributions span several areas within computer science, particularly focusing on data visualization, artificial intelligence, and astronomy-related research.

Möller has authored numerous publications across interdisciplinary fields, with a significant emphasis on computer vision and pattern recognition, as well as artificial intelligence. They have also contributed substantially to studies in astronomy and astrophysics, rheumatology, and medical imaging disciplines.

The scientist's work is frequently published in well-known venues, reflecting a range of interdisciplinary interests. These venues include:

  • arXiv (Cornell University)
  • IEEE Computer Graphics and Applications
  • IEEE Transactions on Visualization and Computer Graphics
  • Astronomy and Astrophysics
  • Lara D. Veeken

Möller's recent scholarly articles include the following:

  • "The star formation history of the Sco-Cen association" (2023), published in Astronomy and Astrophysics
  • "Significance mode analysis (SigMA) for hierarchical structures" (2023), published in Astronomy and Astrophysics
  • "VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications" (2021), published in IEEE Transactions on Visualization and Computer Graphics
  • "Extended stellar systems in the solar neighborhood" (2020), published in Astronomy and Astrophysics
  • "Using a DAS28-CRP-steered treat-to-target strategy does not eliminate subclinical inflammation as assessed by ultrasonography in rheumatoid arthritis patients in longstanding clinical remission" (2021), published in Arthritis Research & Therapy

Frequent collaborators in Möller's research include:

  • Laura Koesten
  • Sebastian Ratzenböck
  • J. Alves
  • Kathleen Gregory
  • Stefan Meingast

The main fields of study covered by their work are computer science and its subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Astronomy and Astrophysics
  • Rheumatology
  • Radiology, Nuclear Medicine and Imaging

Key research topics addressed by Möller's publications include:

  • Data Visualization and Analytics
  • Stellar, planetary, and galactic studies
  • Astronomy and Astrophysical Research
  • Explainable Artificial Intelligence (XAI)
  • Rheumatoid Arthritis Research and Therapies
  • Ethics and Social Impacts of AI
  • Astrophysics and Star Formation Studies

Best Publications

  • Human factors in visualization research

    M. Tory;T. Moller

  • Curvature-based transfer functions for direct volume rendering: methods and applications

    G. Kindlmann;R. Whitaker;T. Tasdizen;T. Moller

  • A Systematic Review on the Practice of Evaluating Visualization

    Tobias Isenberg;Petra Isenberg;Jian Chen;Michael Sedlmair

  • Rethinking Visualization: A High-Level Taxonomy

    M. Tory;T. Moller

  • Evaluating visualizations: do expert reviews work?

    M. Tory;T. Moller

  • Visual Parameter Space Analysis: A Conceptual Framework

    Michael Sedlmair;Christoph Heinzl;Stefan Bruckner;Harald Piringer

  • Evaluation and design of filters using a Taylor series expansion

    T. Moller;R. Machiraju;K. Mueller;R. Yagel

  • Visualization task performance with 2D, 3D, and combination displays

    M. Tory;A.E. Kirkpatrick;M.S. Atkins;T. Moller

  • Vispubdata.org: A Metadata Collection About IEEE Visualization (VIS) Publications

    Petra Isenberg;Florian Heimerl;Steffen Koch;Tobias Isenberg

  • Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design

    Stefan Bruckner;Torsten Möller

  • Tuner: Principled Parameter Finding for Image Segmentation Algorithms Using Visual Response Surface Exploration

    Thomas Torsney-Weir;A. Saad;T. Moller;H. Hege

  • Optimal regular volume sampling

    T. Theussl;T. Moller;M.E. Groller

  • Splatting without the blur

    Klaus Mueller;Torsten Möller;Roger Crawfis

  • A comparison of normal estimation schemes

    Torsten Möller;Raghu Machiraju;Klaus Mueller;Roni Yagel

  • DimStiller: Workflows for dimensional analysis and reduction

    Stephen Ingram;Tamara Munzner;Veronika Irvine;Melanie Tory

  • A parallel coordinates style interface for exploratory volume visualization

    M. Tory;S. Potts;T. Moller

  • Isosurface similarity maps

    Stefan Bruckner;Torsten Möller

  • Vismon: Facilitating Analysis of Trade-Offs, Uncertainty, and Sensitivity In Fisheries Management Decision Making

    Maryam Booshehrian;Torsten Möller;Randall M. Peterman;Tamara Munzner

  • Full search content independent block matching based on the fast Fourier transform

    S.L. Kilthau;M.S. Drew;T. Moller

  • Practical Box Splines for Reconstruction on the Body Centered Cubic Lattice

    A. Entezari;D. Van De Ville;T. Moller

  • Design of accurate and smooth filters for function and derivative reconstruction

    Torsten Möller;Klaus Mueller;Yair Kurzion;Raghu Machiraju

Frequent Co-Authors

Michael Sedlmair
Michael Sedlmair University of Stuttgart
Raghu Machiraju
Raghu Machiraju The Ohio State University
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Roni Yagel
Roni Yagel InSightec (Israel)
Ghassan Hamarneh
Ghassan Hamarneh Simon Fraser University
Klaus Mueller
Klaus Mueller Stony Brook University
Jian Chen
Jian Chen The Ohio State University
Steven J.M. Jones
Steven J.M. Jones University of British Columbia
Petra Isenberg
Petra Isenberg French Institute for Research in Computer Science and Automation - INRIA

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