Andee Rubin

20 papers and 420 indexed citations i.

About

Andee Rubin is a scholar working on Education, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Andee Rubin has authored 20 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Education, 6 papers in Statistics and Probability and 5 papers in Artificial Intelligence. Recurrent topics in Andee Rubin’s work include Statistics Education and Methodologies (6 papers), Mathematics Education and Teaching Techniques (4 papers) and Museums and Cultural Heritage (2 papers). Andee Rubin is often cited by papers focused on Statistics Education and Methodologies (6 papers), Mathematics Education and Teaching Techniques (4 papers) and Museums and Cultural Heritage (2 papers). Andee Rubin collaborates with scholars based in United States, Israel and Australia. Andee Rubin's co-authors include Katie Makar, Bertram C. Bruce, Nicola Yelland, Barbara J. Grosz, Swapna Reddy, Scott Pattison, Smirla Ramos‐Montañez, Lynn D. Dierking, Kobi Gal and Stuart M. Shieber and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Investigative Radiology.

In The Last Decade

Co-authorship network of co-authors of Andee Rubin i

Fields of papers citing papers by Andee Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andee Rubin

Since Specialization
Citations

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