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20122021
most citedData management and analysis with WRF and SFIRE

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

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cs.HC20233 cited

CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering

Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee +3

Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the way…

cs.HC2023

A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations

Tushar M. Athawale, Bryan Triana, Tanmay Kotha +2

Color maps are a commonly used visualization technique in which data are mapped to optical properties, e.g., color or opacity. Color maps, however, do not explicitly convey structu…

cs.HC2021

A Survey of Perception-Based Visualization Studies by Task

Ghulam Jilani Quadri, Paul Rosen

Knowledge of human perception has long been incorporated into visualizations to enhance their quality and effectiveness. The last decade, in particular, has shown an increase in pe…

cs.HC20201 cited

LineSmooth: An Analytical Framework for Evaluating the Effectiveness of Smoothing Techniques on Line Charts

Paul Rosen, Ghulam Jilani Quadri

We present a comprehensive framework for evaluating line chart smoothing methods under a variety of visual analytics tasks. Line charts are commonly used to visualize a series of d…

cs.HC2020

Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology

Ghulam Jilani Quadri, Paul Rosen

Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of…

cs.HC2019

You Can't Publish Replication Studies (and How to Anyways)

Ghulam Jilani Quadri, Paul Rosen

Reproducibility has been increasingly encouraged by communities of science in order to validate experimental conclusions, and replication studies represent a significant opportunit…