2026 Gennady Andrienko: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	66	2302	2233	95	92	330	19517

Research.com Recognitions

2025 - Research.com Computer Science in Germany Leader Award
2023 - Research.com Computer Science in Germany Leader Award
2022 - Research.com Computer Science in Germany Leader Award

Overview

Gennady Andrienko is affiliated with the Fraunhofer Institute for Intelligent Analysis and Information Systems in Germany. Their research spans multiple areas within computer science and social sciences, with a particular focus on data visualization, human mobility, and data management.

Andrienko's main fields of study include:

Computer Science
Social Sciences

Their work covers several subfields of study, notably:

Computer Vision and Pattern Recognition
Artificial Intelligence
Signal Processing
Transportation
Information Systems

In terms of research topics, Andrienko has contributed extensively to:

Data Visualization and Analytics
Human Mobility and Location-Based Analysis
Data Management and Algorithms
Explainable Artificial Intelligence (XAI)
Time Series Analysis and Forecasting
Data Analysis with R
Geographic Information Systems Studies

Frequent publication venues for Andrienko include:

Visual Informatics
IEEE Computer Graphics and Applications
International Journal of Data Science and Analytics
Computer Graphics Forum
Abstracts of the ICA

Among recent papers authored by or involving Andrienko are:

"Human migration: the big data perspective" (2020) published in International Journal of Data Science and Analytics
"Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" (2021) published in CINECA IRIS Institutional research information system (University of Pisa)
"A theoretical model for pattern discovery in visual analytics" (2020) published in Visual Informatics
"(So) Big Data and the transformation of the city" (2020) published in International Journal of Data Science and Analytics
"Guide Me in Analysis: A Framework for Guidance Designers" (2020) published in Computer Graphics Forum

Frequent co-authors collaborating with Andrienko include:

Natalia Andrienko
Fosca Giannotti
Dino Pedreschi
Salvatore Rinzivillo
Siming Chen

Best Publications

Visual Analytics: Definition, Process, and Challenges

Daniel Keim;Gennady Andrienko;Jean-Daniel Fekete;Carsten Görg

1599
Citations
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach

Natalia Andrienko;Gennady Andrienko

1013
Citations
Semantic trajectories modeling and analysis

Christine Parent;Stefano Spaccapietra;Chiara Renso;Gennady Andrienko

684
Citations
Exploratory spatio-temporal visualization: an analytical review

Natalia V. Andrienko;Gennady L. Andrienko;Peter Gatalsky

672
Citations
Interactive maps for visual data exploration

Gennady L. Andrienko;Natalia V. Andrienko

638
Citations
Geovisual analytics for spatial decision support: Setting the research agenda

G. Andrienko;N. Andrienko;P. Jankowski;D. Keim

615
Citations
Space, time and visual analytics

Gennady Andrienko;Natalia Andrienko;Urska Demsar;Doris Dransch

600
Citations
Visual analytics tools for analysis of movement data

Gennady Andrienko;Natalia Andrienko;Stefan Wrobel

458
Citations
Spatial Generalization and Aggregation of Massive Movement Data

Unknown

442
Citations
Visual analytics of movement: an overview of methods, tools and procedures

Natalia Andrienko;Gennady Andrienko

413
Citations
Visual Analytics of Movement

Gennady Andrienko;Natalia Andrienko;Peter Bak;Daniel Keim

389
Citations
Stacking-Based Visualization of Trajectory Attribute Data

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

379
Citations
Map-centred exploratory approach to multiple criteria spatial decision making

Piotr Jankowski;Natalia V. Andrienko;Gennady L. Andrienko

365
Citations
Spatio-temporal aggregation for visual analysis of movements

G. Andrienko;N. Andrienko

332
Citations
Interactive visual clustering of large collections of trajectories

Gennady Andrienko;Natalia Andrienko;Salvatore Rinzivillo;Mirco Nanni

304
Citations
Visually driven analysis of movement data by progressive clustering

Salvatore Rinzivillo;Dino Pedreschi;Mirco Nanni;Fosca Giannotti

283
Citations
Visual Analytics Methodology for Eye Movement Studies

G. Andrienko;N. Andrienko;M. Burch;D. Weiskopf

276
Citations
Interactive analysis of event data using space-time cube

P. Gatalsky;N. Andrienko;G. Andrienko

264
Citations
MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering

Tatiana von Landesberger;Felix Brodkorb;Philipp Roskosch;Natalia Andrienko

247
Citations
Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research

Gennady Andrienko;Natalia Andrienko;Jason Dykes;Sara Irina Fabrikant

217
Citations
Space and time

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

3
Citations

Frequent Co-Authors

Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

Stefan Wrobel University of Bonn

Daniel A. Keim University of Konstanz

Jason Dykes City, University of London

Dino Pedreschi University of Pisa

Piotr Jankowski San Diego State University

Nikos Pelekis University of Piraeus

Yannis Theodoridis University of Piraeus

Menno-Jan Kraak University of Twente

Heidrun Schumann University of Rostock

External Links

Personal website of Gennady Andrienko Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

If you're considering studying Computer Science in the USA, there are a variety of related online degrees and flexible pathways to boost your career. For those seeking fast-track options, there are several easy degrees to get online that pay well, which offer practical skills and good salaries without years of commitment.

As tech fields grow, specialized programs in areas like artificial intelligence are more accessible than ever. Budget-conscious students might be interested in the cheapest online masters in artificial intelligence, which allow you to gain cutting-edge expertise without breaking the bank.

For those still deciding where to focus, choosing the right program in college is crucial. Your major can greatly influence future opportunities and earning potential in the tech industry.

Pursuing advanced education is also more attainable with the rise of accredited masters degrees online. These programs are designed for flexibility and can be completed while you work, providing new career doors in computer science and beyond.