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).
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.
Co-authorship network of co-authors of Andee Rubin
This figure shows the co-authorship network connecting the top 25 collaborators of Andee Rubin.
A scholar is included among the top collaborators of Andee Rubin 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 Andee Rubin. Andee Rubin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Christine, et al.. (2020). Designing for Playful Math Engagement Across Learning Environments.. ICLS.1 indexed citations
4.
Gal, Kobi, et al.. (2018). Modeling the Effects of Students' Interactions with Immersive Simulations Using Markov Switching Systems.. Educational Data Mining.1 indexed citations
5.
Hammerman, James & Andee Rubin. (2015). 1 Reasoning in the Presence of Variability1.1 indexed citations
6.
Gal, Kobi, Swapna Reddy, Stuart M. Shieber, Andee Rubin, & Barbara J. Grosz. (2011). Plan recognition in exploratory domains. Artificial Intelligence. 176(1). 2270–2290.21 indexed citations
7.
Makar, Katie & Andee Rubin. (2007). Beyond the bar graph: Teaching informal statistical inference in primary school. Queensland's institutional digital repository (The University of Queensland).6 indexed citations
8.
Rubin, Andee, et al.. (2006). Exploring informal inference with interactive visualization software.32 indexed citations
Yelland, Nicola & Andee Rubin. (2002). Ghosts in the machine: Women’s voices in research with technology. Peter Lang eBooks.26 indexed citations
11.
Rubin, Andee. (1999). Technology Meets Math Education: Envisioning a Practical Future Forum on the Future of Technology in Education..7 indexed citations
12.
Elliott, Portia C., et al.. (1997). Teaching Math: A Video Library, 9-12. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).7 indexed citations
13.
Rubin, Andee, et al.. (1994). Cartwheeling in CamMotion.. Hand. 17(2). 8–7.1 indexed citations
14.
Nemirovsky, Ricardo & Andee Rubin. (1992). Students' Tendency To Assume Resemblances between a Function and Its Derivative..34 indexed citations
Bruce, Bertram C. & Andee Rubin. (1988). Readability formulas: Matching tool and task..25 indexed citations
17.
Bruce, Bertram C. & Andee Rubin. (1984). Strategies for Controlling Hypothesis Formation in Reading. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign).8 indexed citations
18.
Rubin, Andee & Jane Hansen. (1984). Reading and Writing: How Are the First Two "R's" Related? Reading Education Report No. 51..3 indexed citations
19.
Bruce, Bertram C., et al.. (1981). Why readability formulas fail. IEEE Transactions on Professional Communication. PC-24(1). 50–52.73 indexed citations
20.
Rubin, Andee. (1980). Making Stories, Making Sense.. Language Arts. 57(3). 285.16 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.