Lace Padilla

33 papers and 739 indexed citations i.

About

Lace Padilla is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Lace Padilla has authored 33 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Cognitive Neuroscience. Recurrent topics in Lace Padilla’s work include Data Visualization and Analytics (16 papers), Spatial Cognition and Navigation (4 papers) and Data Analysis with R (3 papers). Lace Padilla is often cited by papers focused on Data Visualization and Analytics (16 papers), Spatial Cognition and Navigation (4 papers) and Data Analysis with R (3 papers). Lace Padilla collaborates with scholars based in United States, Canada and United Kingdom. Lace Padilla's co-authors include Sarah H. Creem-Regehr, Mary Hegarty, Jeanine K. Stefanucci, Ian T. Ruginski, Jessica Hullman, Donald H. House, William B. Thompson, Steven Franconeri, Jeffrey M. Zacks and Priti Shah and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Lace Padilla i

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.

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).

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

Rankless by CCL
2025