Visual Exploration of Large Multidimensional Data Using Parallel Coordinates on Big Data Infrastructure. - Joris Sansen; Gaëlle Richer; Timothée Jourde; Frédéric Lalanne; David Auber; Romain Bourqui (Informatics, 2017)

Enabling Hierarchical Exploration for Large-Scale Multidimensional Data with Abstract Parallel Coordinates. - Gaëlle Richer; Joris Sansen; Frédéric Lalanne; David Auber; Romain Bourqui (EDBT/ICDT Workshops, 2018)

CorFish: Coordinating Emphasis Across Multiple Views Using Spatial Distortion. - Gaëlle Richer; Romain Bourqui; David Auber (PacificVis, 2019)

HiePaCo: Scalable Hierarchical Exploration in Abstract Parallel Coordinates Under Budget Constraints. - Gaëlle Richer; Joris Sansen; Frédéric Lalanne; David Auber; Romain Bourqui (Big Data Res., 2019)

Passage à l'échelle pour la visualisation interactive exploratoire de données: approches par abstraction et par déformation spatiale. (Addressing scaling challenges in interactive exploratory visualization with abstraction and spatial distortion). - Gaëlle Richer (2019)

VAST 2020 Contest Challenge: GraphMatchMaker - Visual Analytics for Graph Comparison and Matching. - Natkamon Tovanich; Alexis Pister; Gaëlle Richer; Paola Valdivia; Christophe Prieur 002; Jean-Daniel Fekete; Petra Isenberg (IEEE Computer Graphics and Applications, 2022)

Studying Early Decision Making with Progressive Bar Charts. - Ameya B. Patil; Gaëlle Richer; Christopher Jermaine; Dominik Moritz; Jean-Daniel Fekete (IEEE Trans. Vis. Comput. Graph., 2023)

Scalability in Visualization. - Gaëlle Richer; Alexis Pister; Moataz Abdelaal; Jean-Daniel Fekete; Michael Sedlmair; Daniel Weiskopf (IEEE Trans. Vis. Comput. Graph., 2024)