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Michael Sedlmair

Michael Sedlmair

D-Index & Metrics

Computer Science

D-Index
37
Citations
6242
World Ranking
10700
National Ranking
537

Overview

Michael Sedlmair is affiliated with the University of Stuttgart in Germany and has a primary research focus on computer science, with an emphasis on data visualization and related fields. Their work spans multiple subfields including computer vision and pattern recognition, human-computer interaction, artificial intelligence, signal processing, and social psychology.

The scientist's research addresses a variety of topics, prominently featuring data visualization and analytics. Other main topics covered include virtual reality applications and impacts, augmented reality applications, interactive and immersive displays, image and video quality assessment, gaze tracking and assistive technology, and visual attention and saliency detection.

Recent publications showcase contributions across leading venues. Notable papers include:

  • "Design Patterns for Situated Visualization in Augmented Reality" (2023), published in IEEE Transactions on Visualization and Computer Graphics
  • "The Value of Immersive Visualization" (2021), published in IEEE Computer Graphics and Applications
  • "VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications" (2021), published in IEEE Transactions on Visualization and Computer Graphics
  • "Palettailor: Discriminable Colorization for Categorical Data" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "Scalability in Visualization" (2022), published in IEEE Transactions on Visualization and Computer Graphics

Frequent coauthors collaborating with Michael Sedlmair include:

  • Daniel Weiskopf
  • Tobias Isenberg
  • Kuno Kurzhals
  • Dieter Schmalstieg
  • Guido Reina

Publishing venues for their work frequently involve top-tier outlets such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Computer Graphics and Applications
  • Computer Graphics Forum
  • Zenodo (CERN European Organization for Nuclear Research)

Michael Sedlmair has also contributed to academic literature through book publications, including the 2024 title Progressive Data Analysis released by the Centre National de la Recherche Scientifique.

Best Publications

  • Design Study Methodology: Reflections from the Trenches and the Stacks

    M. Sedlmair;M. Meyer;T. Munzner

  • A Systematic Review on the Practice of Evaluating Visualization

    Tobias Isenberg;Petra Isenberg;Jian Chen;Michael Sedlmair

  • Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis

    Dominik Sacha;Leishi Zhang;Michael Sedlmair;John A. Lee

  • Visual Parameter Space Analysis: A Conceptual Framework

    Michael Sedlmair;Christoph Heinzl;Stefan Bruckner;Harald Piringer

  • More than Bags of Words : Sentiment Analysis with Word Embeddings

    Elena Rudkowsky;Martin Haselmayer;Matthias Wastian;Marcelo Jenny

  • Empirical Guidance on Scatterplot and Dimension Reduction Technique Choices

    Michael Sedlmair;Tamara Munzner;Melanie Tory

  • A Taxonomy of Visual Cluster Separation Factors

    M. Sedlmair;A. Tatu;T. Munzner;M. Tory

  • What you see is what you can change

    Dominik Sacha;Michael Sedlmair;Leishi Zhang;John A. Lee

  • Opening the Black Box: Strategies for Increased User Involvement in Existing Algorithm Implementations

    Thomas Mühlbacher;Harald Piringer;Samuel Gratzl;Michael Sedlmair

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

    Petra Isenberg;Florian Heimerl;Steffen Koch;Tobias Isenberg

  • Comparing Visual-Interactive Labeling with Active Learning: An Experimental Study

    Jurgen Bernard;Marco Hutter;Matthias Zeppelzauer;Dieter Fellner

  • The nested blocks and guidelines model

    Miriah D. Meyer;Michael Sedlmair;P. Samuel Quinan;Tamara Munzner

  • VIAL: a unified process for visual interactive labeling

    Jürgen Bernard;Jürgen Bernard;Matthias Zeppelzauer;Michael Sedlmair;Wolfgang Aigner;Wolfgang Aigner

  • Visualizing dimensionally-reduced data: interviews with analysts and a characterization of task sequences

    Matthew Brehmer;Michael Sedlmair;Stephen Ingram;Tamara Munzner

  • Human-centered machine learning through interactive visualization

    Dominik Sacha;Michael Sedlmair;Leishi Zhang;John Aldo Lee

  • Information visualization evaluation in large companies: challenges, experiences and recommendations

    Michael Sedlmair;Petra Isenberg;Dominikus Baur;Andreas Butz

  • Visualization as Seen through its Research Paper Keywords

    Petra Isenberg;Tobias Isenberg;Michael Sedlmair;Jian Chen

  • Priming and Anchoring Effects in Visualization

    Andre Calero Valdez;Martina Ziefle;Michael Sedlmair

  • The Streams of Our Lives: Visualizing Listening Histories in Context

    Dominikus Baur;Frederik Seiffert;Michael Sedlmair;Sebastian Boring

  • Data-driven evaluation of visual quality measures

    M. Sedlmair;M. Aupetit

  • A unified process for visual-interactive labeling

    Jürgen Bernard;Matthias Zeppelzauer;Michael Sedlmair;Wolfgang Aigner

Frequent Co-Authors

Torsten Möller
Torsten Möller University of Vienna
Petra Isenberg
Petra Isenberg French Institute for Research in Computer Science and Automation - INRIA
Tobias Isenberg
Tobias Isenberg French Institute for Research in Computer Science and Automation - INRIA
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Tamara Munzner
Tamara Munzner University of British Columbia
Andreas Butz
Andreas Butz Ludwig-Maximilians-Universität München
Oliver Deussen
Oliver Deussen University of Konstanz
Robert S. Laramee
Robert S. Laramee University of Nottingham
Baoquan Chen
Baoquan Chen Peking University
Daniel A. Keim
Daniel A. Keim University of Konstanz

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