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Heidrun Schumann

Heidrun Schumann

D-Index & Metrics

Computer Science

D-Index
43
Citations
8788
World Ranking
7913
National Ranking
384

Overview

Heidrun Schumann is affiliated with the University of Rostock in Germany. Their research spans primarily the fields of Computer Science and Medicine, with a specific focus on subfields including Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Ophthalmology, and Radiology, Nuclear Medicine and Imaging.

The main areas of work for Heidrun Schumann include:

  • Data Visualization and Analytics
  • Data Management and Algorithms
  • Time Series Analysis and Forecasting
  • Video Analysis and Summarization
  • Data Analysis with R
  • Advanced Text Analysis Techniques
  • Retinal Imaging and Analysis

Recent publications by Schumann highlight a variety of topics and venues. These include:

  • "A theoretical model for pattern discovery in visual analytics," 2020, published in Visual Informatics
  • "Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs," 2020, published in IEEE Transactions on Visualization and Computer Graphics
  • "Thickness of Intraretinal Layers in Patients with Type 2 Diabetes Mellitus Depending on a Concomitant Diabetic Neuropathy: Results of a Cross-Sectional Study Using Deviation Maps for OCT Data Analysis," 2020, published in Biomedicines
  • "A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools," 2022, published in Computers & Graphics
  • "Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques," 2020, published in Eurographics

Heidrun Schumann frequently collaborates with a number of coauthors. The most frequent coauthors include:

  • Christian Tominski
  • Silvia Miksch
  • Wolfgang Aigner
  • Martin Röhlig
  • Lars Nonnemann

Publication venues where Schumann often publishes include:

  • arXiv (Cornell University)
  • Visual Informatics
  • IEEE Transactions on Visualization and Computer Graphics
  • Biomedicines
  • Eurographics

In addition to articles, Schumann has authored books published by Springer Nature. Notably, the book Visualization of Time-Oriented Data was published in 2023.

Best Publications

  • Visualization of Time-Oriented Data

    Wolfgang Aigner;Silvia Miksch;Heidrun Schumann;Christian Tominski

  • Space, time and visual analytics

    Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch

  • Visualizing time-oriented data-A systematic view

    Wolfgang Aigner;Silvia Miksch;Wolfgang Müller;Heidrun Schumann

  • Visualisierung: Grundlagen und allgemeine Methoden

    Heidrun Schumann;Wolfgang Müller

  • Visual Methods for Analyzing Time-Oriented Data

    W. Aigner;S. Miksch;W. Muller;H. Schumann

  • Stacking-Based Visualization of Trajectory Attribute Data

    C. Tominski;H. Schumann;G. Andrienko;N. Andrienko

  • Visualization for modeling and simulation: visualization methods for time-dependent data - an overview

    Wolfgang Müller;Heidrun Schumann

  • A Design Space of Visualization Tasks

    Hans-Jorg Schulz;Thomas Nocke;Magnus Heitzler;Heidrun Schumann

  • 3D information visualization for time dependent data on maps

    C. Tominski;P. Schulze-Wollgast;H. Schumann

  • Axes-based visualizations with radial layouts

    Christian Tominski;James Abello;Heidrun Schumann

  • The Visualization of Uncertain Data: Methods and Problems.

    Henning Griethe;Heidrun Schumann

  • The Design Space of Implicit Hierarchy Visualization: A Survey

    H-J Schulz;S Hadlak;H Schumann

  • Fisheye Tree Views and Lenses for Graph Visualization

    C. Tominski;J. Abello;F. van Ham;H. Schumann

  • Technical Section: CGV-An interactive graph visualization system

    Christian Tominski;James Abello;Heidrun Schumann

  • Tangible views for information visualization

    Martin Spindler;Christian Tominski;Heidrun Schumann;Raimund Dachselt

  • A flexible approach for visual data mining

    M. Kreuseler;H. Schumann

  • Interactive Lenses for Visualization: An Extended Survey

    C. Tominski;S. Gladisch;U. Kister;R. Dachselt

  • A scalable framework for information visualization

    M. Kreuseler;N. Lopez;H. Schumann

  • Task-Driven Color Coding

    C. Tominski;G. Fuchs;H. Schumann

  • A Survey on Interactive Lenses in Visualization

    Christian Tominski;Stefan Gladisch;Ulrike Kister;Raimund Dachselt

  • Space and time

    G. Andrienko;N. Andrienko;H. Schumann;C. Tominski

Frequent Co-Authors

Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Jason Dykes
Jason Dykes City, University of London
Menno-Jan Kraak
Menno-Jan Kraak University of Twente
Dieter Schmalstieg
Dieter Schmalstieg University of Stuttgart
Holger Theisel
Holger Theisel Otto-von-Guericke University Magdeburg
Daniel A. Keim
Daniel A. Keim University of Konstanz
Stefan Wrobel
Stefan Wrobel University of Bonn

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