D-Index & Metrics Best Publications
Silvia Miksch

Silvia Miksch

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 9,108 214 World Ranking 3583 National Ranking 26

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Statistics
  • Programming language

Her primary areas of investigation include Visualization, Data mining, Information visualization, Visual analytics and Data science. Her research in Visualization is mostly focused on Data visualization. Her study on Temporal database is often connected to Abstraction as part of broader study in Data mining.

Her work is dedicated to discovering how Information visualization, User interface are connected with Usability, GRASP and Syntax and other disciplines. Her Interactive visual analysis study in the realm of Visual analytics interacts with subjects such as Dynamic network analysis. In Data science, Silvia Miksch works on issues like Quality, which are connected to Taxonomy.

Her most cited work include:

  • Comparing computer-interpretable guideline models: a case-study approach. (480 citations)
  • Visualization of Time-Oriented Data (408 citations)
  • THE ASGAARD PROJECT: A TASK-SPECIFIC FRAMEWORK FOR THE APPLICATION AND CRITIQUING OF TIME-ORIENTED CLINICAL GUIDELINES (407 citations)

What are the main themes of her work throughout her whole career to date?

Silvia Miksch mainly investigates Visualization, Visual analytics, Data science, Human–computer interaction and Information visualization. She does research in Visualization, focusing on Data visualization specifically. Her work in the fields of Visual analytics, such as Interactive visual analysis, intersects with other areas such as Set.

Her Data science research integrates issues from Quality and Field. Her study in Human–computer interaction is interdisciplinary in nature, drawing from both Creative visualization, User interface, Multimedia and Interactive visualization. Silvia Miksch works mostly in the field of Process, limiting it down to topics relating to Software engineering and, in certain cases, Task and Plan.

She most often published in these fields:

  • Visualization (28.83%)
  • Visual analytics (26.64%)
  • Data science (22.63%)

What were the highlights of her more recent work (between 2015-2021)?

  • Visual analytics (26.64%)
  • Visualization (28.83%)
  • Data science (22.63%)

In recent papers she was focusing on the following fields of study:

Silvia Miksch spends much of her time researching Visual analytics, Visualization, Data science, Process and Data visualization. The Visual analytics study combines topics in areas such as Information retrieval and Time series. Her studies deal with areas such as Workflow and Human–computer interaction as well as Visualization.

Her Data science research is multidisciplinary, relying on both Quality, Field, Order and Decision support system. Her Process research is multidisciplinary, incorporating perspectives in Domain, Digital humanities, Application domain and Usability. Her studies deal with areas such as Data modeling and Computer graphics as well as Data visualization.

Between 2015 and 2021, her most popular works were:

  • Characterizing Guidance in Visual Analytics (85 citations)
  • The State-of-the-Art of Set Visualization (57 citations)
  • A Survey on Visual Approaches for Analyzing Scientific Literature and Patents (37 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Programming language

Silvia Miksch focuses on Visual analytics, Visualization, Data science, Data visualization and Information visualization. Her Visual analytics research includes elements of Univariate, Multivariate statistics, Time series, Plot and Process. Her study in Visualization is interdisciplinary in nature, drawing from both Information retrieval, Workflow and Human–computer interaction.

Her Data science research incorporates themes from Field, Order and Knowledge-based systems. Her Data visualization research is multidisciplinary, relying on both Tacit knowledge, Data modeling, Knowledge economy, Explicit knowledge and Conceptual model. Her work deals with themes such as Variety, State, Set and Data model, which intersect with Information visualization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Visualization of Time-Oriented Data

Wolfgang Aigner;Silvia Miksch;Heidrun Schumann;Christian Tominski.
(2011)

871 Citations

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

Mor Peleg;Samson W. Tu;Jonathan Bury;Paolo Ciccarese.
Journal of the American Medical Informatics Association (2003)

753 Citations

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

Yuval Shahar;Silvia Miksch;Peter D. Johnson.
Artificial Intelligence in Medicine (1998)

656 Citations

Visualizing time-oriented data-A systematic view

Wolfgang Aigner;Silvia Miksch;Wolfgang Müller;Heidrun Schumann.
Computers & Graphics (2007)

432 Citations

Visual Methods for Analyzing Time-Oriented Data

W. Aigner;S. Miksch;W. Muller;H. Schumann.
IEEE Transactions on Visualization and Computer Graphics (2008)

364 Citations

Interactive Information Visualization to Explore and Query Electronic Health Records

Alexander Rind;Taowei David Wang;Wolfgang Aigner;Silvia Miksch.
(2013)

277 Citations

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

Silvia Miksch;Yuval Shahar;Peter Johnson.
(1999)

221 Citations

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

Ragnar Bade;Stefan Schlechtweg;Silvia Miksch.
human factors in computing systems (2004)

217 Citations

Semantic depth of field

R. Kosara;S. Miksch;H. Hauser.
ieee symposium on information visualization (2001)

195 Citations

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.
Artificial Intelligence in Medicine (1996)

158 Citations

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Best Scientists Citing Silvia Miksch

Yuval Shahar

Yuval Shahar

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Fraunhofer Institute for Intelligent Analysis and Information Systems

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Natalia Andrienko

Natalia Andrienko

Fraunhofer Society

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