D-Index & Metrics Best Publications
Computer Science
Germany
2023

D-Index & Metrics 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.

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 60 Citations 16,348 294 World Ranking 2072 National Ranking 86

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Germany Leader Award

Overview

What is he best known for?

The fields of study Gennady Andrienko is best known for:

  • Visual analytics
  • Information visualization
  • Unified Modeling Language

Many of his studies on Programming language involve topics that are commonly interrelated, such as Set (abstract data type). His work on Programming language expands to the thematically related Set (abstract data type). He conducted interdisciplinary study in his works that combined Visualization and Interactive visual analysis. Gennady Andrienko integrates several fields in his works, including Interactive visual analysis and Visualization. His research is interdisciplinary, bridging the disciplines of Perspective (graphical) and Artificial intelligence. As part of his studies on Perspective (graphical), he often connects relevant subjects like Artificial intelligence. Gennady Andrienko performs integrative Visual analytics and Human–computer interaction research in his work. He performs multidisciplinary study on Human–computer interaction and Visual analytics in his works. Much of his study explores Graph relationship to Theoretical computer science.

His most cited work include:

  • Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns (117 citations)
  • Viewing Visual Analytics as Model Building (57 citations)

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

His study focuses on the intersection of Thematic map and fields such as Cartography with connections in the field of Geospatial analysis and Scale (ratio). While working in this field, Gennady Andrienko studies both Geospatial analysis and Geovisualization. Scale (ratio) and Cartography are commonly linked in his work. Politics is the topic of his studies on Collective identity and Collective action. Collective action and Politics are frequently intertwined in his study. In most of his Data mining studies, his work intersects topics such as Glyph (data visualization). Glyph (data visualization) and Data mining are frequently intertwined in his study. Data science and Exploratory data analysis are two areas of study in which Gennady Andrienko engages in interdisciplinary work. Gennady Andrienko merges Exploratory data analysis with Data science in his research.

Gennady Andrienko most often published in these fields:

  • Data mining (70.00%)
  • Data science (70.00%)
  • Programming language (60.00%)

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

Visual Analytics: Definition, Process, and Challenges

Daniel Keim;Gennady Andrienko;Jean-Daniel Fekete;Carsten Görg.
Information Visualization (2008)

1412 Citations

Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach

Natalia Andrienko;Gennady Andrienko.
(2005)

953 Citations

Exploratory spatio-temporal visualization: an analytical review

Natalia V. Andrienko;Gennady L. Andrienko;Peter Gatalsky.
Journal of Visual Languages and Computing (2003)

619 Citations

Interactive maps for visual data exploration

Gennady L. Andrienko;Natalia V. Andrienko.
International Journal of Geographical Information Science (1999)

618 Citations

Semantic trajectories modeling and analysis

Christine Parent;Stefano Spaccapietra;Chiara Renso;Gennady Andrienko.
ACM Computing Surveys (2013)

605 Citations

Geovisual analytics for spatial decision support: Setting the research agenda

G. Andrienko;N. Andrienko;P. Jankowski;D. Keim.
International Journal of Geographical Information Science (2007)

575 Citations

Space, time and visual analytics

Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch.
International Journal of Geographical Information Science (2010)

549 Citations

Visual analytics tools for analysis of movement data

Gennady Andrienko;Natalia Andrienko;Stefan Wrobel.
Sigkdd Explorations (2007)

448 Citations

Visual Analytics of Movement

Gennady Andrienko;Natalia Andrienko;Peter Bak;Daniel Keim.
(2013)

388 Citations

Visual analytics of movement: an overview of methods, tools and procedures

Natalia Andrienko;Gennady Andrienko.
Information Visualization (2013)

364 Citations

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