activity
20182022
most citedVisualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns

25 citations · 25 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2022

Traveler: Navigating Task Parallel Traces for Performance Analysis

Sayef Azad Sakin, Alex Bigelow, R. Tohid +7

Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts…

cs.HC2020

Guidelines For Pursuing and Revealing Data Abstractions

Alex Bigelow, Katy Williams, Katherine E. Isaacs

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of…

cs.HC2019★ 25 cited

Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns

Katy Williams, Alex Bigelow, Katherine E. Isaacs

Common pitfalls in visualization projects include lack of data availability and the domain users' needs and focus changing too rapidly for the design process to complete. While it…

cs.HC2018

Origraph: Interactive Network Wrangling

Alex Bigelow, Carolina Nobre, Miriah Meyer +1

Networks are a natural way of thinking about many datasets. The data on which a network is based, however, is rarely collected in a form that suits the analysis process, making it…

cs.HC2018

Jacob's Ladder: The User Implications of Leveraging Graph Pivots

Alex Bigelow, Megan Monroe

This paper reports on a simple visual technique that boils extracting a subgraph down to two operations---pivots and filters---that is agnostic to both the data abstraction, and it…