Michael Correll
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
1
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CHI | The Many Tendrils of the Octopus Map. | Eduardo Puerta, Shani Claire Spivak, Michael Correll |
| 2024 | CHI | When the Body Became Data: Historical Data Cultures and Anatomical Illustration. | Michael Correll, Laura A. Garrison |
| 2024 | CHI | Toward a More Comprehensive Understanding of Visualization Literacy. | Lily W. Ge, Maryam Hedayati, Yuan Cui, Yiren Ding, Karen Bonilla, Alark Joshi, Alvitta Ottley, Benjamin Bach, Bum Chul Kwon, David N. Rapp, Evan M. Peck, Lace M. K. Padilla, Michael Correll, Michelle A. Borkin, Lane Harrison, Matthew Kay |
| 2024 | CHI | Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. | Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Michael Correll, Eli T. Brown, Matthew Kay |
| 2023 | CHI | Troubling Collaboration: Matters of Care for Visualization Design Study. | Derya Akbaba, Devin Lange, Michael Correll, Alexander Lex, Miriah Meyer |
| 2022 | CHI | Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. | Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle |
| 2021 | CHI | User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. | Anamaria Crisan, Michael Correll |
| 2021 | CHI | Data-Driven Mark Orientation for Trend Estimation in Scatterplots. | Tingting Liu, Xiaotong Li, Chen Bao, Michael Correll, Changhe Tu, Oliver Deussen, Yunhai Wang |
| 2021 | CHI | Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. | Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle |
| 2020 | CHI | Truncating the Y-Axis: Threat or Menace? | Michael Correll, Enrico Bertini, Steven Franconeri |
| 2020 | CHI | Divining Insights: Visual Analytics Through Cartomancy. | Andrew M. McNutt, Anamaria Crisan, Michael Correll |
| 2020 | CHI | Surfacing Visualization Mirages. | Andrew M. McNutt, Gordon L. Kindlmann, Michael Correll |
| 2019 | CHI | Ethical Dimensions of Visualization Research. | Michael Correll |
| 2018 | CHI | Ross-Chernoff Glyphs Or: How Do We Kill Bad Ideas in Visualization? | Michael Correll |
| 2018 | CHI | Value-Suppressing Uncertainty Palettes. | Michael Correll, Dominik Moritz, Jeffrey Heer |
| 2017 | CHI | Regression by Eye: Estimating Trends in Bivariate Visualizations. | Michael Correll, Jeffrey Heer |
| 2017 | CHI | Designing for Uncertainty in HCI: When Does Uncertainty Help? | Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer |
| 2014 | CHI | Task-driven evaluation of aggregation in time series visualization. | Danielle Albers, Michael Correll, Michael Gleicher |
| 2013 | CHI | Quantity estimation in visualizations of tagged text. | Michael Correll, Eric C. Alexander, Michael Gleicher |
| 2012 | CHI | Comparing averages in time series data. | Michael Correll, Danielle Albers, Steven Franconeri, Michael Gleicher |