H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 61 Citations 16,063 250 World Ranking 1492 National Ranking 52

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Data mining
  • Statistics

Gennady Andrienko focuses on Visual analytics, Visualization, Data science, Data mining and Data visualization. His biological study spans a wide range of topics, including Machine learning, Information visualization, Inference and Computer vision. His Visualization research includes elements of Task and Geographic information system.

His Data science research incorporates elements of Spatial database, Decision support system and Decision engineering. The Exploratory data analysis research Gennady Andrienko does as part of his general Data mining study is frequently linked to other disciplines of science, such as Focus, therefore creating a link between diverse domains of science. His studies in Data visualization integrate themes in fields like Domain, Knowledge extraction and Knowledge acquisition.

His most cited work include:

  • Visual Analytics: Definition, Process, and Challenges (617 citations)
  • Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach (397 citations)
  • Semantic trajectories modeling and analysis (361 citations)

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

His main research concerns Visual analytics, Visualization, Data science, Data mining and Data visualization. His Visual analytics study integrates concerns from other disciplines, such as Analytics and Human–computer interaction. His research integrates issues of Exploratory data analysis, Task and Geographic information system in his study of Visualization.

His biological study spans a wide range of topics, including Workflow, Geospatial analysis and Big data. The Data mining study combines topics in areas such as Spatial analysis, Trajectory, Information retrieval and Cluster analysis. His Artificial intelligence research incorporates themes from Machine learning, Computer vision and Pattern recognition.

He most often published in these fields:

  • Visual analytics (59.39%)
  • Visualization (37.58%)
  • Data science (33.94%)

What were the highlights of his more recent work (between 2018-2021)?

  • Visual analytics (59.39%)
  • Data science (33.94%)
  • Visualization (37.58%)

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

Gennady Andrienko mostly deals with Visual analytics, Data science, Visualization, Human–computer interaction and Data visualization. The various areas that Gennady Andrienko examines in his Visual analytics study include Theoretical computer science, Pairwise comparison, Workflow and Process. Gennady Andrienko has researched Process in several fields, including Session, Information visualization, Software engineering and Usability.

His Data science research is multidisciplinary, incorporating elements of Conceptual model, Spatial analysis, Relevance and Big data. His Interactive visualization study in the realm of Visualization interacts with subjects such as Set. Gennady Andrienko has included themes like Exploratory data analysis, Analytics and Task analysis in his Data visualization study.

Between 2018 and 2021, his most popular works were:

  • Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling (18 citations)
  • COPE: Interactive Exploration of Co-Occurrence Patterns in Spatial Time Series (18 citations)
  • A conceptual framework for studying collective reactions to events in location-based social media (15 citations)

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

  • Artificial intelligence
  • Statistics
  • Data mining

His primary areas of investigation include Visual analytics, Data visualization, Human–computer interaction, Visualization and Social media. His Visual analytics study necessitates a more in-depth grasp of Data mining. His study explores the link between Data visualization and topics such as Analytics that cross with problems in Feature extraction, Use case and Computer graphics.

Gennady Andrienko works mostly in the field of Human–computer interaction, limiting it down to topics relating to Task analysis and, in certain cases, Process, Design process, Identification and Domain. His Visualization research focuses on Information retrieval and how it relates to Data cube, Structure and Aggregate. His Social media study combines topics in areas such as Knowledge extraction, Data analysis and Virtual research environment.

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)

1162 Citations

Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach

Natalia Andrienko;Gennady Andrienko.
(2005)

912 Citations

Interactive maps for visual data exploration

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

610 Citations

Exploratory spatio-temporal visualization: an analytical review

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

586 Citations

Semantic trajectories modeling and analysis

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

540 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)

519 Citations

Space, time and visual analytics

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

508 Citations

Visual analytics tools for analysis of movement data

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

433 Citations

Map-centred exploratory approach to multiple criteria spatial decision making

Piotr Jankowski;Natalia V. Andrienko;Gennady L. Andrienko.
International Journal of Geographical Information Science (2001)

347 Citations

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

Natalia Andrienko;Gennady Andrienko.
Information Visualization (2013)

335 Citations

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