| Visualization rhetoric: Framing effects in narrative visualization J Hullman, N Diakopoulos IEEE transactions on visualization and computer graphics 17 (12), 2231-2240, 2011 | 790 | 2011 |
| The science of visual data communication: What works SL Franconeri, LM Padilla, P Shah, JM Zacks, J Hullman Psychological Science in the public interest 22 (3), 110-161, 2021 | 490 | 2021 |
| When (ish) is My Bus? User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems M Kay, T Kola, SA Munson, JR Hullman ACM CHI 2016, 2016 | 353 | 2016 |
| A deeper understanding of sequence in narrative visualization J Hullman, S Drucker, NH Riche, B Lee, D Fisher, E Adar IEEE Transactions on visualization and computer graphics 19 (12), 2406-2415, 2013 | 349 | 2013 |
| Human factors in model interpretability: Industry practices, challenges, and needs SR Hong, J Hullman, E Bertini Proceedings of the ACM on Human-Computer Interaction 4 (CSCW1), 1-26, 2020 | 293 | 2020 |
| Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering. J Hullman, P Resnick, E Adar PloS one 10 (11), e0142444-e0142444, 2015 | 248 | 2015 |
| Benefitting infovis with visual difficulties J Hullman, E Adar, P Shah IEEE Transactions on Visualization and Computer Graphics 17 (12), 2213-2222, 2011 | 243 | 2011 |
| In pursuit of error: A survey of uncertainty visualization evaluation J Hullman, X Qiao, M Correll, A Kale, M Kay IEEE transactions on visualization and computer graphics 25 (1), 903-913, 2018 | 232 | 2018 |
| Why authors don't visualize uncertainty J Hullman IEEE transactions on visualization and computer graphics 26 (1), 130-139, 2019 | 225 | 2019 |
| Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making M Fernandes, L Walls, S Munson, J Hullman, M Kay | 222 | 2018 |
| Contextifier: automatic generation of annotated stock visualizations J Hullman, N Diakopoulos, E Adar Proceedings of the SIGCHI Conference on human factors in computing systems …, 2013 | 205 | 2013 |
| Keeping multiple views consistent: Constraints, validations, and exceptions in visualization authoring Z Qu, J Hullman IEEE transactions on visualization and computer graphics 24 (1), 468-477, 2017 | 158 | 2017 |
| Hypothetical outcome plots help untrained observers judge trends in ambiguous data A Kale, F Nguyen, M Kay, J Hullman IEEE transactions on visualization and computer graphics 25 (1), 892-902, 2018 | 154 | 2018 |
| Explaining the gap: Visualizing one's predictions improves recall and comprehension of data YS Kim, K Reinecke, J Hullman Proceedings of the 2017 CHI conference on human factors in computing systems …, 2017 | 149 | 2017 |
| Uncertainty visualization L Padilla, M Kay, J Hullman PsyArXiv, 2020 | 148 | 2020 |
| GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing Y Kim, K Wongsuphasawat, J Hullman, J Heer Proceedings of the ACM Conference on Computer-Human Interaction (CHI 2017), 2017 | 137 | 2017 |
| Newsviews: an automated pipeline for creating custom geovisualizations for news T Gao, JR Hullman, E Adar, B Hecht, N Diakopoulos Proceedings of the SIGCHI conference on human factors in computing systems …, 2014 | 130 | 2014 |
| Visual reasoning strategies for effect size judgments and decisions A Kale, M Kay, J Hullman IEEE transactions on visualization and computer graphics 27 (2), 272-282, 2020 | 128 | 2020 |
| Mechanical Turk is Not Anonymous (SSRN Scholarly Paper No. ID 2228728). Rochester, NY: Social Science Research Network M Lease, J Hullman, J Bigham, M Bernstein, J Kim, W Lasecki, R Miller | 124* | 2013 |
| A bayesian cognition approach to improve data visualization YS Kim, LA Walls, P Krafft, J Hullman Proceedings of the 2019 chi conference on human factors in computing systems …, 2019 | 107 | 2019 |
Matthew KayAssociate Professor, Northwestern UniversityVerified email at northwestern.edu
