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Silvia Miksch

Silvia Miksch

D-Index & Metrics

Computer Science

D-Index
54
Citations
11439
World Ranking
4574
National Ranking
30

Overview

Silvia Miksch is a researcher affiliated with TU Wien in Austria, specializing primarily in computer science with a focus on data visualization and analytics. Their work spans multiple subfields including computer vision and pattern recognition, signal processing, artificial intelligence, statistical and nonlinear physics, and ecological modeling.

The main topics of their research include:

  • Data Visualization and Analytics
  • Video Analysis and Summarization
  • Complex Network Analysis Techniques
  • Data Management and Algorithms
  • Species Distribution and Climate Change
  • Semantic Web and Ontologies
  • Blind Source Separation Techniques

Silvia Miksch's recent papers reflect their engagement in advancing visual analytics and network visualization. Notable publications include:

  • "A theoretical model for pattern discovery in visual analytics," 2020, Visual Informatics
  • "Perspectives of visualization onboarding and guidance in VA," 2022, Visual Informatics
  • "Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies," 2023, Computer Graphics Forum
  • "Guide Me in Analysis: A Framework for Guidance Designers," 2020, Computer Graphics Forum
  • "A Typology of Guidance Tasks in Mixed-Initiative Visual Analytics Environments," 2022, Computer Graphics Forum

Frequent co-authors collaborating with Silvia Miksch include:

  • Christian Tominski
  • Davide Ceneda
  • Alessio Arleo
  • Wolfgang Aigner
  • Markus Bögl

Their research output has appeared in several key publication venues, demonstrating active contributions to the field of visualization and computer graphics. These venues are:

  • IEEE Transactions on Visualization and Computer Graphics
  • Computer Graphics Forum
  • arXiv (Cornell University)
  • Visual Informatics
  • IEEE Computer Graphics and Applications

In addition to articles, Silvia Miksch has authored a book published by Springer Nature titled "Visualization of Time-Oriented Data" in 2023.

Best Publications

  • Visualization of Time-Oriented Data

    Wolfgang Aigner;Silvia Miksch;Heidrun Schumann;Christian Tominski

  • Comparing computer-interpretable guideline models: a case-study approach.

    Mor Peleg;Samson W. Tu;Jonathan Bury;Paolo Ciccarese

  • THE ASGAARD PROJECT: A TASK-SPECIFIC FRAMEWORK FOR THE APPLICATION AND CRITIQUING OF TIME-ORIENTED CLINICAL GUIDELINES

    Yuval Shahar;Silvia Miksch;Peter D. Johnson

  • Visualizing time-oriented data-A systematic view

    Wolfgang Aigner;Silvia Miksch;Wolfgang Müller;Heidrun Schumann

  • Visual Methods for Analyzing Time-Oriented Data

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

  • Interactive Information Visualization to Explore and Query Electronic Health Records

    Alexander Rind;Taowei David Wang;Wolfgang Aigner;Silvia Miksch

  • Characterizing Guidance in Visual Analytics

    Davide Ceneda;Theresia Gschwandtner;Thorsten May;Silvia Miksch

  • Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges

    Florian Windhager;Paolo Federico;Gunther Schreder;Katrin Glinka

  • Connecting time-oriented data and information to a coherent interactive visualization

    Ragnar Bade;Stefan Schlechtweg;Silvia Miksch

  • ASBRU: A TASK-SPECIFIC, INTENTION-BASED, AND TIME-ORIENTED LANGUAGE FOR REPRESENTING SKELETAL PLANS

    Silvia Miksch;Yuval Shahar;Peter Johnson

  • Semantic depth of field

    R. Kosara;S. Miksch;H. Hauser

  • Special Section on Visual Analytics: A matter of time: Applying a data-users-tasks design triangle to visual analytics of time-oriented data

    Silvia Miksch;Wolfgang Aigner

  • Focus+context taken literally

    R. Kosara;S. Miksch;H. Hauser

  • Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants

    Silvia Miksch;Werner Horn;Werner Horn;Christian Popow;Franz Paky

  • Improving medical protocols by formal methods

    Annette ten Teije;Mar Marcos;Michel Balser;Joyce van Croonenborg

  • Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges

    Bilal Alsallakh;Luana Micallef;Wolfgang Aigner;Helwig Hauser

  • PlanningLines: novel glyphs for representing temporal uncertainties and their evaluation

    W. Aigner;S. Miksch;B. Thurnher;S. Biffl

  • The State-of-the-Art of Set Visualization

    Bilal Alsallakh;Luana Micallef;Luana Micallef;Wolfgang Aigner;Wolfgang Aigner;Helwig Hauser

  • Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans

    Robert Kosara;Silvia Miksch

  • pdf2table: A Method to Extract Table Information from PDF Files.

    Burcu Yildiz;Katharina Kaiser;Silvia Miksch

Frequent Co-Authors

Mor Peleg
Mor Peleg University of Haifa
Yuval Shahar
Yuval Shahar Ben-Gurion University of the Negev
Heidrun Schumann
Heidrun Schumann University of Rostock
Helwig Hauser
Helwig Hauser University of Bergen
Manfred Reichert
Manfred Reichert University of Ulm
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Peter J. F. Lucas
Peter J. F. Lucas University of Twente
Alan M. MacEachren
Alan M. MacEachren Pennsylvania State University
Barbara Hayes-Roth
Barbara Hayes-Roth RAND Corporation

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