World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
23278
World Ranking
1577
National Ranking
822

Overview

Catherine Plaisant is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on the domain of computer science, with a concentration on data visualization and analytics, complex network analysis techniques, and multimedia communication and technology. Their work also spans advanced clustering algorithms research, topological and geometric data analysis, mental health research topics, and usability and user interface design.

The scientist has contributed to several research papers, published in reputable academic venues. Notable recent papers include:

  • Integrating Prior Knowledge in Mixed-Initiative Social Network Clustering, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Six methods for transforming layered hypergraphs to apply layered graph layout algorithms, 2022, Computer Graphics Forum
  • Understanding Barriers to Network Exploration With Visualization: A Report from the Trenches, 2022, IEEE Transactions on Visualization and Computer Graphics
  • Lightning and Thunder: The Early Days of Interactive Information Visualization at the University of Maryland, 2022, IEEE Computer Graphics and Applications
  • The 2020 Visualization Career Award, 2021, IEEE Transactions on Visualization and Computer Graphics

Their frequent co-authors include Jean-Daniel Fekete, Alexis Pister, Paolo Buono, Paola Valdivia, and Ben Shneiderman. These collaborations have resulted in multiple publications that advance understanding in the fields related to visualization and computer graphics.

The publishing venues where the scientist's work regularly appears include:

  • IEEE Transactions on Visualization and Computer Graphics
  • IEEE Computer Graphics and Applications
  • Computer Graphics Forum
  • interactions

Their research interests encompass the subfields of computer vision and pattern recognition, statistical and nonlinear physics, sociology and political science, human-computer interaction, and artificial intelligence. These interdisciplinary subfields support a broader scope in their work bridging technology and social applications.

Catherine Plaisant's research presents a significant focus on integrating visualization methods and clustering techniques to support network analysis and social network exploration. Their investigations also extend to usability and user interface design, reflecting an interest in practical applications of visualization technologies in user-centric environments.

Best Publications

  • Technology probes: inspiring design for and with families

    Hilary Hutchinson;Wendy Mackay;Bo Westerlund;Benjamin B. Bederson

  • The challenge of information visualization evaluation

    Catherine Plaisant

  • LifeLines: visualizing personal histories

    Catherine Plaisant;Brett Milash;Anne Rose;Seth Widoff

  • Empirical Studies in Information Visualization: Seven Scenarios

    H. Lam;E. Bertini;P. Isenberg;C. Plaisant

  • Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)

    Ben Shneiderman;Catherine Plaisant

  • Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies

    Ben Shneiderman;Catherine Plaisant

  • Virtual memory palaces: immersion aids recall

    Eric Krokos;Catherine Plaisant;Amitabh Varshney

  • LifeLines: Using Visualization to Enhance Navigation and Analysis of Patient Records

    Catherine Plaisant;Richard Mushlin;Aaron Snyder;Jia Li

  • Task taxonomy for graph visualization

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

  • SpaceTree: supporting exploration in large node link tree, design evolution and empirical evaluation

    C. Plaisant;J. Grosjean;B.B. Bederson

  • LifeFlow: visualizing an overview of event sequences

    Krist Wongsuphasawat;John Alexis Guerra Gómez;Catherine Plaisant;Taowei David Wang

  • Research directions in data wrangling: visuatizations and transformations for usable and credible data

    Sean Kandel;Jeffrey Heer;Catherine Plaisant;Jessie Kennedy

  • Interactive information visualization of a million items

    J.-D. Fekete;C. Plaisant

  • Navigation patterns and usability of zoomable user interfaces with and without an overview

    Kasper Hornbæk;Benjamin B. Bederson;Catherine Plaisant

  • Temporal Event Sequence Simplification

    Megan Monroe;Rongjian Lan;Hanseung Lee;Catherine Plaisant

  • Aligning temporal data by sentinel events: discovering patterns in electronic health records

    Taowei David Wang;Catherine Plaisant;Alexander J. Quinn;Roman Stanchak

  • Designing the User Interface: Strategies for Effective Human-Computer Interaction, 5 Edition

    Ben Shneiderman;Catherine Plaisant

  • Excentric labeling: dynamic neighborhood labeling for data visualization

    Jean-Daniel Fekete;Catherine Plaisant

  • Interactive Information Visualization to Explore and Query Electronic Health Records

    Alexander Rind;Taowei David Wang;Wolfgang Aigner;Silvia Miksch

  • Image-browser taxonomy and guidelines for designers

    C. Plaisant;D. Carr;B. Shneiderman

Frequent Co-Authors

Ben Shneiderman
Ben Shneiderman University of Maryland, College Park
Benjamin B. Bederson
Benjamin B. Bederson University of Maryland, College Park
Georges Grinstein
Georges Grinstein University of Massachusetts Lowell
Gary Marchionini
Gary Marchionini University of North Carolina at Chapel Hill
Allison Druin
Allison Druin University of Maryland, College Park
Bongshin Lee
Bongshin Lee Microsoft (United States)
Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA
John Stasko
John Stasko Georgia Institute of Technology
Jean Scholtz
Jean Scholtz Pacific Northwest National Laboratory
Nathalie Henry Riche
Nathalie Henry Riche Microsoft (United States)

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