Sarah S. Wu

About

Sarah S. Wu is a scholar working on Statistics and Probability, Education and Experimental and Cognitive Psychology. According to data from OpenAlex, Sarah S. Wu has authored 7 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 3 papers in Education and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Sarah S. Wu’s work include Cognitive and developmental aspects of mathematical skills (5 papers), Education, Achievement, and Giftedness (3 papers) and Early Childhood Education and Development (2 papers). Sarah S. Wu is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (5 papers), Education, Achievement, and Giftedness (3 papers) and Early Childhood Education and Development (2 papers). Sarah S. Wu collaborates with scholars based in United States, Italy and Japan. Sarah S. Wu's co-authors include Vinod Menon, Christina B. Young, Vanessa L. Malcarne, Maria Barth, Hitha Amin, Erik G. Willcutt, Christian Battista, Tanya M. Evans, Shaozheng Qin and John Kochalka and has published in prestigious journals such as Journal of Neuroscience, Psychological Science and Cognition.

In The Last Decade

Co-authorship network of co-authors of Sarah S. Wu i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Sarah S. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah S. Wu. 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 Sarah S. Wu. The network helps show where Sarah S. Wu may publish in the future.

Countries citing papers authored by Sarah S. Wu

Since Specialization

Citations

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