The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Catherine Plaisant sits on this spectrum.
This scientist: 285 publications — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Catherine Plaisant sits on this spectrum.
This scientist: 73 D-Index — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
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:
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:
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.
Hilary Hutchinson;Wendy Mackay;Bo Westerlund;Benjamin B. Bederson
Catherine Plaisant
Catherine Plaisant;Brett Milash;Anne Rose;Seth Widoff
H. Lam;E. Bertini;P. Isenberg;C. Plaisant
Ben Shneiderman;Catherine Plaisant
Ben Shneiderman;Catherine Plaisant
Eric Krokos;Catherine Plaisant;Amitabh Varshney
Catherine Plaisant;Richard Mushlin;Aaron Snyder;Jia Li
Bongshin Lee;Catherine Plaisant;Cynthia Sims Parr;Jean-Daniel Fekete
C. Plaisant;J. Grosjean;B.B. Bederson
Krist Wongsuphasawat;John Alexis Guerra Gómez;Catherine Plaisant;Taowei David Wang
Sean Kandel;Jeffrey Heer;Catherine Plaisant;Jessie Kennedy
J.-D. Fekete;C. Plaisant
Kasper Hornbæk;Benjamin B. Bederson;Catherine Plaisant
Megan Monroe;Rongjian Lan;Hanseung Lee;Catherine Plaisant
Taowei David Wang;Catherine Plaisant;Alexander J. Quinn;Roman Stanchak
Ben Shneiderman;Catherine Plaisant
Jean-Daniel Fekete;Catherine Plaisant
Alexander Rind;Taowei David Wang;Wolfgang Aigner;Silvia Miksch
C. Plaisant;D. Carr;B. Shneiderman
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