Jessica Hullman

4.6k total citations
76 papers, 2.6k citations indexed

About

Jessica Hullman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Jessica Hullman has authored 76 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 16 papers in Sociology and Political Science. Recurrent topics in Jessica Hullman's work include Data Visualization and Analytics (48 papers), Advanced Text Analysis Techniques (16 papers) and Explainable Artificial Intelligence (XAI) (12 papers). Jessica Hullman is often cited by papers focused on Data Visualization and Analytics (48 papers), Advanced Text Analysis Techniques (16 papers) and Explainable Artificial Intelligence (XAI) (12 papers). Jessica Hullman collaborates with scholars based in United States, Canada and United Kingdom. Jessica Hullman's co-authors include Nicholas Diakopoulos, Eytan Adar, Matthew Kay, Priti Shah, Yea‐Seul Kim, Sean A. Munson, Alex Kale, Zening Qu, Enrico Bertini and Steven Franconeri and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Jessica Hullman

71 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jessica Hullman United States 26 1.6k 944 500 185 179 76 2.6k
Robert Kosara United States 28 1.8k 1.1× 692 0.7× 310 0.6× 218 1.2× 142 0.8× 73 2.5k
Remco Chang United States 33 2.1k 1.3× 862 0.9× 266 0.5× 264 1.4× 201 1.1× 124 3.1k
Michelle X. Zhou United States 28 1.2k 0.7× 1.2k 1.2× 510 1.0× 185 1.0× 64 0.4× 119 2.7k
Michael Sedlmair Germany 30 2.5k 1.5× 1.2k 1.3× 340 0.7× 389 2.1× 88 0.5× 141 3.5k
Adam Perer United States 29 1.3k 0.8× 1.1k 1.2× 347 0.7× 76 0.4× 101 0.6× 74 2.8k
Ji Soo Yi United States 20 1.2k 0.8× 440 0.5× 396 0.8× 405 2.2× 95 0.5× 58 2.0k
Alex Endert United States 29 2.1k 1.3× 923 1.0× 258 0.5× 502 2.7× 99 0.6× 98 2.8k
Giuseppe Carenini Canada 34 867 0.5× 2.5k 2.6× 375 0.8× 327 1.8× 182 1.0× 174 3.6k
Enrico Bertini United States 24 984 0.6× 730 0.8× 196 0.4× 136 0.7× 74 0.4× 67 1.7k
Christopher Collins Canada 28 1.5k 0.9× 779 0.8× 274 0.5× 267 1.4× 88 0.5× 92 2.4k

Countries citing papers authored by Jessica Hullman

Since Specialization
Citations

This map shows the geographic impact of Jessica Hullman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jessica Hullman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Hullman more than expected).

Fields of papers citing papers by Jessica Hullman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica Hullman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jessica Hullman. The network helps show where Jessica Hullman may publish in the future.

Co-authorship network of co-authors of Jessica Hullman

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Hullman. A scholar is included among the top collaborators of Jessica Hullman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jessica Hullman. Jessica Hullman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Musslick, Sebastian, Fernand Gobet, Thomas L. Griffiths, et al.. (2025). Automating the practice of science: Opportunities, challenges, and implications. Proceedings of the National Academy of Sciences. 122(5). e2401238121–e2401238121. 7 indexed citations
2.
Kumar, Aakriti, et al.. (2025). Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. 1–26. 1 indexed citations
3.
Kapoor, Sayash, Christopher A. Bail, Odd Erik Gundersen, et al.. (2024). REFORMS: Consensus-based Recommendations for Machine-learning-based Science. Science Advances. 10(18). eadk3452–eadk3452. 27 indexed citations
4.
Zhang, Sam, et al.. (2024). Improving out-of-population prediction: The complementary effects of model assistance and judgmental bootstrapping. International Journal of Forecasting. 41(2). 689–701.
5.
Ashktorab, Zahra, Gagan Bansal, Zana Buçinca, et al.. (2024). Trust and Reliance in Evolving Human-AI Workflows (TREW). 1–6. 2 indexed citations
6.
Bansal, Gagan, Zana Buçinca, Kenneth Holstein, et al.. (2023). Workshop on Trust and Reliance in AI-Human Teams (TRAIT). 1–6. 4 indexed citations
7.
Gelman, Andrew, et al.. (2023). Causal Quartets: Different Ways to Attain the Same Average Treatment Effect. The American Statistician. 78(3). 267–272. 3 indexed citations
8.
Subramonyam, Hariharan & Jessica Hullman. (2023). Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 4 indexed citations
9.
Rossi, Ryan A., et al.. (2023). Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–10. 5 indexed citations
10.
Franconeri, Steven, Lace Padilla, Priti Shah, Jeffrey M. Zacks, & Jessica Hullman. (2021). The Science of Visual Data Communication: What Works. 22(3). 110–161. 154 indexed citations
11.
Adar, Eytan, et al.. (2021). Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs). IEEE Transactions on Visualization and Computer Graphics. 28(1). 443–453. 9 indexed citations
12.
Padilla, Lace, et al.. (2021). Uncertain About Uncertainty: How Qualitative Expressions of Forecaster Confidence Impact Decision-Making With Uncertainty Visualizations. Frontiers in Psychology. 11. 579267–579267. 35 indexed citations
13.
Kale, Alex, Matthew Kay, & Jessica Hullman. (2020). Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions.. arXiv (Cornell University). 1 indexed citations
14.
Gelman, Andrew, et al.. (2020). Information, incentives, and goals in election forecasts. Judgment and Decision Making. 15(5). 863–880. 14 indexed citations
15.
Boukhelifa, Nadia, Anastasia Bezerianos, Remco Chang, et al.. (2020). Challenges in Evaluating Interactive Visual Machine Learning Systems. IEEE Computer Graphics and Applications. 40(6). 88–96. 9 indexed citations
16.
Kim, Yea‐Seul, Mira Dontcheva, Eytan Adar, & Jessica Hullman. (2019). Vocal Shortcuts for Creative Experts. 1–14. 21 indexed citations
17.
Xiong, Cindy, et al.. (2019). Illusion of Causality in Visualized Data. IEEE Transactions on Visualization and Computer Graphics. 26(1). 853–862. 45 indexed citations
18.
Hullman, Jessica, et al.. (2019). Some Prior(s) Experience Necessary. 1–12. 7 indexed citations
19.
Kale, Alex, et al.. (2018). Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Transactions on Visualization and Computer Graphics. 25(1). 892–902. 68 indexed citations
20.
Hullman, Jessica, Nicholas Diakopoulos, Elaheh Momeni, & Eytan Adar. (2015). Content, Context, and Critique. 1170–1175. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Robert Kosara Breakdown of academic impact, for papers by Remco Chang Breakdown of academic impact, for papers by Michelle X. Zhou Breakdown of academic impact, for papers by Michael Sedlmair Breakdown of academic impact, for papers by Adam Perer Breakdown of academic impact, for papers by Ji Soo Yi Breakdown of academic impact, for papers by Alex Endert Breakdown of academic impact, for papers by Giuseppe Carenini Breakdown of academic impact, for papers by Enrico Bertini Breakdown of academic impact, for papers by Christopher Collins
Rankless by CCL
2026