Danielle Albers Szafir

38 papers and 536 indexed citations i.

About

Danielle Albers Szafir is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Danielle Albers Szafir has authored 38 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Cognitive Neuroscience and 8 papers in Social Psychology. Recurrent topics in Danielle Albers Szafir’s work include Data Visualization and Analytics (24 papers), Color perception and design (7 papers) and Visual perception and processing mechanisms (5 papers). Danielle Albers Szafir is often cited by papers focused on Data Visualization and Analytics (24 papers), Color perception and design (7 papers) and Visual perception and processing mechanisms (5 papers). Danielle Albers Szafir collaborates with scholars based in United States, Canada and United Kingdom. Danielle Albers Szafir's co-authors include Michael Gleicher, Steven Franconeri, Steve Haroz, Maureen Stone, Khairi Reda, Vidya Setlur, Jordan Boyd‐Graber, Michael J. Paul, Yoshinari Fujinuma and Ashlynn R. Daughton and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Visualization and Computer Graphics and Journal of Vision.

In The Last Decade

Co-authorship network of co-authors of Danielle Albers Szafir i

Fields of papers citing papers by Danielle Albers Szafir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Albers Szafir. 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 Danielle Albers Szafir. The network helps show where Danielle Albers Szafir may publish in the future.

Countries citing papers authored by Danielle Albers Szafir

Since Specialization
Citations

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

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