World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
16386
World Ranking
3046
National Ranking
49

Research.com Recognitions

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

Overview

Jean-Daniel Fekete is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily spans the field of Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, and Signal Processing.

The main topics addressed in their body of work include Data Visualization and Analytics, Complex Network Analysis Techniques, Multimedia Communication and Technology, Image and Video Quality Assessment, Advanced Text Analysis Techniques, Natural Language Processing Techniques, and Semantic Web and Ontologies.

Fekete's recent publications reflect these research interests and cover various aspects of visualization and data analysis. Notable papers include:

  • "Scalability in Visualization" (2022), published in IEEE Transactions on Visualization and Computer Graphics
  • "Integrating Prior Knowledge in Mixed-Initiative Social Network Clustering" (2020), published in IEEE Transactions on Visualization and Computer Graphics
  • "Exploring Reproducibility in Visualization" (2020), published in IEEE Computer Graphics and Applications
  • "Cartolabe: A Web-Based Scalable Visualization of Large Document Collections" (2020), published in IEEE Computer Graphics and Applications
  • "A Survey on Progressive Visualization" (2023), published in IEEE Transactions on Visualization and Computer Graphics

Frequent coauthors collaborating with Fekete include Philippe Caillou, Jonas Renault, Hande Gözükan, and Alexis Pister.

Publication venues where Fekete has contributed multiple works include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Computer Graphics and Applications
  • Computer Graphics Forum

In addition to journal and conference papers, Jean-Daniel Fekete has also authored a book titled Progressive Data Analysis, published in 2024 by the Centre National de la Recherche Scientifique.

Best Publications

  • Visual Analytics: Definition, Process, and Challenges

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

  • NodeTrix: a Hybrid Visualization of Social Networks

    N. Henry;J.-D. Fekete;M.J. McGuffin

  • Visual analysis of large graphs : state-of-the-art and future research challenges

    T. von Landesberger;A. Kuijper;A. Kuijper;T. Schreck;J. Kohlhammer

  • Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation

    N. Elmqvist;P. Dragicevic;J.-D. Fekete

  • Task taxonomy for graph visualization

    Bongshin Lee;Catherine Plaisant;Cynthia Sims Parr;Jean-Daniel Fekete

  • Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines

    N. Elmqvist;J.-D. Fekete

  • A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations

    M. Ghoniem;J.-D. Fekete;P. Castagliola

  • On the readability of graphs using node-link and matrix-based representations: a controlled experiment and statistical analysis

    Mohammad Ghoniem;Jean-Daniel Fekete;Philippe Castagliola

  • The InfoVis Toolkit

    J.-D. Fekete

  • MatrixExplorer: a Dual-Representation System to Explore Social Networks

    N. Henry;J.-D. Fekete

  • The Value of Information Visualization

    Jean-Daniel Fekete;Jarke J. Wijk;John T. Stasko;Chris North

  • Interactive information visualization of a million items

    J.-D. Fekete;C. Plaisant

  • A Principled Way of Assessing Visualization Literacy

    Jeremy Boy;Ronald A. Rensink;Enrico Bertini;Jean Daniel Fekete

  • Excentric labeling: dynamic neighborhood labeling for data visualization

    Jean-Daniel Fekete;Catherine Plaisant

  • Zooids: Building Blocks for Swarm User Interfaces

    Mathieu Le Goc;Lawrence H. Kim;Ali Parsaei;Jean-Daniel Fekete

  • Evaluating the efficiency of physical visualizations

    Yvonne Jansen;Pierre Dragicevic;Jean-Daniel Fekete

  • ZAME: Interactive Large-Scale Graph Visualization

    N. Elmqvist;Thanh-Nghi Do;H. Goodell;N. Henry

  • Matrix reordering methods for table and network visualization

    Michael Behrisch;Benjamin Bach;Nathalie Henry Riche;Tobias Schreck

  • MatLink: enhanced matrix visualization for analyzing social networks

    Nathalie Henry;Jean-Daniel Fekete

  • GraphDiaries: Animated Transitions andTemporal Navigation for Dynamic Networks

    Benjamin Bach;Emmanuel Pietriga;Jean-Daniel Fekete

Frequent Co-Authors

Pierre Dragicevic
Pierre Dragicevic French Institute for Research in Computer Science and Automation - INRIA
Niklas Elmqvist
Niklas Elmqvist University of Maryland, College Park
Petra Isenberg
Petra Isenberg French Institute for Research in Computer Science and Automation - INRIA
Benjamin Bach
Benjamin Bach University of Edinburgh
Catherine Plaisant
Catherine Plaisant University of Maryland, College Park
Fanny Chevalier
Fanny Chevalier University of Toronto
Chris North
Chris North Virginia Tech
John Stasko
John Stasko Georgia Institute of Technology
Nathalie Henry Riche
Nathalie Henry Riche Microsoft (United States)
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems

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