Lace Padilla

2.1k total citations
43 papers, 1.0k citations indexed

About

Lace Padilla is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Lace Padilla has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Lace Padilla's work include Data Visualization and Analytics (20 papers), Spatial Cognition and Navigation (5 papers) and Data Analysis with R (5 papers). Lace Padilla is often cited by papers focused on Data Visualization and Analytics (20 papers), Spatial Cognition and Navigation (5 papers) and Data Analysis with R (5 papers). Lace Padilla collaborates with scholars based in United States, United Kingdom and Canada. Lace Padilla's co-authors include Sarah H. Creem-Regehr, Mary Hegarty, Jeanine K. Stefanucci, Ian T. Ruginski, Jessica Hullman, Steven Franconeri, Jeffrey M. Zacks, Priti Shah, Donald H. House and William B. Thompson and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and Frontiers in Psychology.

In The Last Decade

Lace Padilla

37 papers receiving 1.0k citations

Peers

Lace Padilla

CVPR

SPS

ECP

Kuo‐En Chang Taiwan

Rossano Schifanella Italy

Alan Chamberlain United Kingdom

Paul M. Aoki United States

Younah Kang South Korea

Tye Rattenbury United States

Hideo Joho Japan

Jessica Hullman United States

Josep Blat Spain

Julie Bauer Morrison United States

Kuo‐En Chang Taiwan

Lace Padilla

567 ×1.3

CVPR

395 ×1.6

SPS

226 ×1.0

145 ×1.2

ECP

84 ×0.8

Citations per year, relative to Lace Padilla Lace Padilla (= 1×) peers Kuo‐En Chang

Countries citing papers authored by Lace Padilla

Since Specialization

Citations

This map shows the geographic impact of Lace Padilla'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 Lace Padilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lace Padilla more than expected).

Fields of papers citing papers by Lace Padilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lace Padilla. 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 Lace Padilla. The network helps show where Lace Padilla may publish in the future.

Co-authorship network of co-authors of Lace Padilla

This figure shows the co-authorship network connecting the top 25 collaborators of Lace Padilla. A scholar is included among the top collaborators of Lace Padilla 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 Lace Padilla. Lace Padilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Padilla, Lace, et al.. (2025). Evaluating convergence between two data visualization literacy assessments. Cognitive Research Principles and Implications. 10(1). 15–15.

Padilla, Lace, et al.. (2024). Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1169–1179.

Joshi, Alark, Alvitta Ottley, Benjamin Bach, et al.. (2024). Toward a More Comprehensive Understanding of Visualization Literacy. 1–7. 5 indexed citations

Matzen, Laura E., et al.. (2024). Examining Limits of Small Multiples: Frame Quantity Impacts Judgments With Line Graphs. IEEE Transactions on Visualization and Computer Graphics. 31(3). 1875–1887.

Padilla, Lace, et al.. (2023). Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 6 indexed citations

Szafir, Danielle Albers, Rita Borgo, Min Chen, et al.. (2023). Visualization Psychology. 5 indexed citations

Eriksson, Max, Mohammad Safeeq, Lace Padilla, et al.. (2023). Drivers of social acceptance of natural-resource management: A comparison of the public and professionals in California. Journal of Environmental Management. 345. 118605–118605. 3 indexed citations

Padilla, Lace, et al.. (2022). Impact of COVID-19 forecast visualizations on pandemic risk perceptions. Scientific Reports. 12(1). 2014–2014. 18 indexed citations

Padilla, Lace, et al.. (2021). Multiple Hazard Uncertainty Visualization Challenges and Paths Forward. Frontiers in Psychology. 12. 579207–579207. 9 indexed citations

10.

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

11.

Padilla, Lace, et al.. (2021). Through the eyes of the expert: Evaluating holistic processing in architects through gaze-contingent viewing. Psychonomic Bulletin & Review. 28(3). 870–878. 3 indexed citations

12.

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

13.

Lobato, Emilio J. C., et al.. (2020). Factors Predicting Willingness to Share COVID-19 Misinformation. Frontiers in Psychology. 11. 566108–566108. 64 indexed citations

14.

Padilla, Lace, Sarah H. Creem-Regehr, & William B. Thompson. (2019). The powerful influence of marks: Visual and knowledge-driven processing in hurricane track displays.. Journal of Experimental Psychology Applied. 26(1). 1–15. 16 indexed citations

15.

Padilla, Lace, Sarah H. Creem-Regehr, Mary Hegarty, & Jeanine K. Stefanucci. (2018). Decision making with visualizations: a cognitive framework across disciplines. Cognitive Research Principles and Implications. 3(1). 29–29. 172 indexed citations

16.

Padilla, Lace, Sarah H. Creem-Regehr, Jeanine K. Stefanucci, & Elizabeth Cashdan. (2016). Sex differences in virtual navigation influenced by scale and navigation experience. Psychonomic Bulletin & Review. 24(2). 582–590. 33 indexed citations

17.

Ruginski, Ian T., Alexander P. Boone, Lace Padilla, et al.. (2016). Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cognition and Computation. 16(2). 154–172. 88 indexed citations

18.

Padilla, Lace, et al.. (2015). Sex Differences in Mobility and Spatial Cognition. Human Nature. 27(1). 16–34. 24 indexed citations

19.

Cashdan, Elizabeth, Karen L. Kramer, Helen Davis, Lace Padilla, & Russell D. Greaves. (2015). Mobility and Navigation among the Yucatec Maya. Human Nature. 27(1). 35–50. 18 indexed citations

20.

Padilla, Lace, et al.. (2014). The influence of different graphical displays on nonexpert decision making under uncertainty.. Journal of Experimental Psychology Applied. 21(1). 37–46. 26 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.

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