Jessica Hullman

Q: What Schools Are Affiliated With Jessica Hullman

Jessica Hullman is affiliated with the following schools: Northwestern University , Ohio State University, University of Michigan, Naropa University, Northwestern University, Stanford University, University of Washington

Jessica Hullman's AcademicInfluence.com Rankings

Jessica Hullman

Computer Science

#7992

World Rank

#8401

Historical Rank

Database

#7516

World Rank

#7783

Historical Rank

computer-science Degrees

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Computer Science

Jessica Hullman's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University

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Why Is Jessica Hullman Influential?

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According to Wikipedia, Jessica Hullman is a computer scientist and the Ginni Rometty associate professor of Computer Science at Northwestern University. She is known for her research in Information visualization. Education Hullman graduated magna cum laude from Ohio State University with a Bachelor of Arts degree in Comparative Studies. She obtained a Masters of Fine Arts degree in Writings and Poetics from Naropa University. Hullman received her Master of Science in Information and Ph.D in Information Science from the University of Michigan - School of Information, where she was advised by Eytan Adar. She completed a postdoctoral fellowship at the University of California, Berkeley Computer Science Department with Maneesh Agrawala.

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Jessica Hullman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

Visualization Rhetoric: Framing Effects in Narrative Visualization (2011) (362)
When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems (2016) (204)
A Deeper Understanding of Sequence in Narrative Visualization (2013) (167)
Benefitting InfoVis with Visual Difficulties (2011) (131)
Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering (2015) (119)
Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making (2018) (109)
Contextifier: automatic generation of annotated stock visualizations (2013) (109)
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs (2020) (99)
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation (2019) (97)
Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data (2017) (92)
Mechanical Turk is Not Anonymous (2013) (79)
Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring (2019) (75)
Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data (2019) (75)
Why Authors Don't Visualize Uncertainty (2019) (74)
The impact of social information on visual judgments (2011) (71)
GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing (2017) (69)
NewsViews: an automated pipeline for creating custom geovisualizations for news (2014) (67)
Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty (2018) (45)
A Bayesian Cognition Approach to Improve Data Visualization (2019) (44)
The Science of Visual Data Communication: What Works (2021) (41)
Visual Reasoning Strategies for Effect Size Judgments and Decisions (2020) (40)
Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation (2018) (37)
How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results (2020) (37)
Leveraging Citation Networks to Visualize Scholarly Influence Over Time (2016) (36)
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths (2019) (32)
Uncertainty Visualization (2020) (31)
Content, Context, and Critique: Commenting on a Data Visualization Blog (2015) (31)
Illusion of Causality in Visualized Data (2019) (29)
Vocal Shortcuts for Creative Experts (2019) (26)
Generating Personalized Spatial Analogies for Distances and Areas (2016) (25)
Uncertain About Uncertainty: How Qualitative Expressions of Forecaster Confidence Impact Decision-Making With Uncertainty Visualizations (2021) (23)
Designing for Uncertainty in HCI: When Does Uncertainty Help? (2017) (23)
Picturing Science: Design Patterns in Graphical Abstracts (2018) (22)
Finding a Clear Path: Structuring Strategies for Visualization Sequences (2017) (22)
SimpleScience: Lexical Simplification of Scientific Terminology (2016) (21)
Why Evaluating Uncertainty Visualization is Error Prone (2016) (21)
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements (2021) (20)
HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions (2019) (19)
Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency (2016) (18)
PersaLog: Personalization of News Article Content (2017) (16)
Information, incentives, and goals in election forecasts (2020) (16)
Improving Comprehension of Measurements Using Concrete Re-expression Strategies (2018) (15)
To design interfaces for exploratory data analysis, we need theories of graphical inference (2021) (14)
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases (2022) (12)
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning (2022) (12)
Bayesian-Assisted Inference from Visualized Data (2020) (11)
A Survey of Domain Knowledge Elicitation in Applied Machine Learning (2021) (10)
Exploring the Effects of Aggregation Choices on Untrained Visualization Users' Generalizations From Data (2020) (9)
Inking Your Insights: Investigating Digital Externalization Behaviors During Data Analysis (2019) (9)
Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis (2019) (8)
Challenges in Evaluating Interactive Visual Machine Learning Systems (2020) (8)
Design Patterns and Trade‐Offs in Responsive Visualization for Communication (2021) (7)
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization (2021) (7)
Causal Support: Modeling Causal Inferences with Visualizations (2021) (6)
Anticipatory Ethics and the Role of Uncertainty (2020) (6)
Adaptation and Learning Priors in Visual Inference (2019) (6)
From Analysis to Communication (2018) (6)
Workshop on Trust and Reliance in AI-Human Teams (TRAIT) (2022) (5)
IMPROVING TEST SCORE REPORTING: PERSPECTIVES FROM THE ETS SCORE REPORTING CONFERENCE (2011) (5)
multiverse: Multiplexing Alternative Data Analyses in R Notebooks (2021) (5)
Not All HITs Are Created Equal: Controlling for Reasoning and Learning Processes in MTurk (2011) (5)
User-driven Expectation Visualization : Opportunities for Personalized Feedback (2015) (4)
Causal quartets: Different ways to attain the same average treatment effect (2023) (4)
Cicero: A Declarative Grammar for Responsive Visualization (2022) (3)
Contextifier (2013) (3)
DeScipher : A Text Simplification Tool for Science Journalism (2015) (3)
Visualization Equilibrium (2021) (2)
Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions (2020) (2)
Framing Artistic Visualization: Aesthetic Object as Evidence (2009) (1)
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs) (2021) (1)
Designing for Personalized Article Content (2015) (1)
What's Driving Conflicts Around Differential Privacy for the U.S. Census (2022) (1)
If you want more women in your workforce, here's how to recruit. (2020) (1)
Evaluating Approaches to Crowdsourced Visual Analytics (2015) (1)
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews (2022) (1)
Translating Scientific Graphics for Public Audiences (2018) (1)
Toward Better Communication of Uncertainty in Science Journalism (2020) (1)
Chance-It: Motivating Collaborative Exploration using Spatial Layout on a Multitouch Surface (2011) (0)
Mechanical Turk is Not Anonymous [ Version 1 . 0 , March 6 , 2013 ] (2013) (0)
Visualizing Uncertainty in the Jobs Report: A Psychophysical Evaluation (2018) (0)
Don ’ t Visualize Uncertainty (2019) (0)
Jhullman/Concrete-Measurement-Re-Expressions: Initialization (2017) (0)
Challenges in Incorporating Exploratory Data Analysis into Statistical Workflow (2021) (0)
Community Finding in a Lexical Network of News Feeds (2007) (0)
Modeling the Interpretation of Visualized Statistics as Bayesian Cognition (2019) (0)
Workshop on Trust and Reliance in AI-Human Teams (TRAIT) (2023) (0)
Data Visualization as a Domain to Research Areas in Cognitive Science (2018) (0)
Understanding and Supporting Trade-offs in the Design of Visualizations for Communication. (2014) (0)
Atlas of Me (0)
1 Evaluating Approaches to Crowdsourced Visual Analytics (2015) (0)
MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis (2023) (0)
The Rational Agent Benchmark for Data Visualization (2023) (0)

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What Schools Are Affiliated With Jessica Hullman?

Jessica Hullman is affiliated with the following schools:

Jessica Hullman's Academic­Influence.com Rankings