most citedDe-cluttering Scatterplots with Integral Images

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

MIA: A Visual Analytics System for Multimodal Spectral Imaging Data

Hennes Rave, Katharina Kronenberg, Hannes Gödde +9

Hyperspectral bioimaging techniques such as infrared (IR) microscopy and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) produce high-dimensional, spatially…

cs.CG2026

Fast Time-Varying Contiguous Cartograms Using Integral Images

Vladimir Molchanov, Hennes Rave, Lars Linsen

Cartograms are a technique for visually representing geographically distributed statistical data, where values of a numerical attribute are mapped to the size of geographic regions…

cs.HC2026★ 1 cited

Improving Low-Vision Chart Accessibility via On-Cursor Visual Context

Yotam Sechayk, Hennes Rave, Max Rädler +4

Despite widespread use, charts remain largely inaccessible for Low-Vision Individuals (LVI). Reading charts requires viewing data points within a global context, which is difficult…

cs.HC2024★ 7 cited

De-cluttering Scatterplots with Integral Images

Hennes Rave, Vladimir Molchanov, Lars Linsen

Scatterplots provide a visual representation of bivariate data (or 2D embeddings of multivariate data) that allows for effective analyses of data dependencies, clusters, trends, an…

cs.HC2024★ 2 cited

Interactive Visual Analysis of Spatial Sensitivities

Marina Evers, Simon Leistikow, Hennes Rave +1

Sensitivity analyses of simulation ensembles determine how simulation parameters influence the simulation's outcome. Commonly, one global numerical sensitivity value is computed pe…