Andee Rubin

1.3k citations
47 papers · 573 · h-index 14

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 6
    • Education and Technology Integration 5
    • Text Readability and Simplification 5

Andee Rubin

43 papers receiving 470 citations

Peers

Andee Rubin
Comparison fields: 5 of 78
  • Statistics and Probability 181
  • Computer Science Applications 68
  • Developmental and Educational Psychology 144
  • Museology 30
  • Education 211
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Citations per field
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Andee Rubin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andee Rubin Line = papers co-authored together Andee Rubin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198174
2 202249
3 201941
4
Exploring informal inference with interactive visualization software
200634
5
Students' Tendency To Assume Resemblances between a Function and Its Derivative.
199234
6 201828
7
Ghosts in the machine: Women’s voices in research with technology
200226
8
Readability formulas: Matching tool and task.
198825
9 201121
10 201721
11 199619
12 199618
13
Making Stories, Making Sense.
198016
14
Quill : reading and writing with a microcomputer
198414
15 200712
16 202112
17 199011
18 199311
19 20029
20
Strategies for Controlling Hypothesis Formation in Reading
19848

About Andee Rubin

Andee Rubin is a scholar working on Education, Artificial Intelligence, Developmental and Educational Psychology, Statistics and Probability and Sociology and Political Science, having authored 47 papers that have together received 573 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (11 papers), Mathematics Education and Teaching Techniques (6 papers), Educational Games and Gamification (5 papers), Education and Technology Integration (5 papers), Text Readability and Simplification (5 papers), Reading and Literacy Development (4 papers), Innovative Teaching and Learning Methods (3 papers) and Mechanical Engineering and Vibrations Research (2 papers). The work is most often cited by research in Statistics and Probability (181 citations), Computer Science Applications (68 citations), Developmental and Educational Psychology (144 citations), Museology (30 citations) and Education (211 citations). Andee Rubin has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Bertram C. Bruce, Katie Makar, Kathleen Starr, Ricardo Nemirovsky, James Hammerman, Nicola Yelland, Andrew D. Boyd, Lynn D. Dierking, Scott Pattison and Smirla Ramos‐Montañez. Their work appears in journals such as Visitor Studies, Communications of the ACM, IEEE Transactions on Professional Communication, Investigative Radiology and Journal of the Learning Sciences.

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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