Matthew Weinstein

739 citations
29 papers · 424 · h-index 12

Impact in

Papers in

Matthew Weinstein

28 papers receiving 363 citations

Peers

Matthew Weinstein
Comparison fields: 5 of 107
  • Education 195
  • Developmental and Educational Psychology 60
  • Human Factors and Ergonomics 8
  • Information Systems and Management 23
  • Sociology and Political Science 121
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Patricia Sullivan United States
Sonya N. Martin South Korea
Joel Weiss Canada
Anindito Aditomo Indonesia
Emilia Djonov Australia
Laura B. Sample McMeeking United States
Jim Parsons Canada
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Matthew Weinstein, 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 Matthew Weinstein Line = papers co-authored together Matthew Weinstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199873
2 201056
3 201337
4 200535
5 200723
6 201623
7 200819
8 200118
9 200416
10 199816
11 201212
12 200612
13 200911
14
Robot World: Education, Popular Culture, and Science
199810
15 20069
16 20179
17 20107
18 20197
19 20175
20
Critiquing and Transcending STEM
20164

About Matthew Weinstein

Matthew Weinstein is a scholar working on Education, Sociology and Political Science, Developmental and Educational Psychology, Information Systems and Literature and Literary Theory, having authored 29 papers that have together received 424 indexed citations. Recurring topics across this work include Science Education and Perceptions (5 papers), Science Education and Pedagogy (5 papers), Educator Training and Historical Pedagogy (3 papers), Digital Education and Society (3 papers), Literacy, Media, and Education (2 papers), Diverse Educational Innovations Studies (2 papers), Posthumanist Ethics and Activism (2 papers) and Teacher Education and Leadership Studies (2 papers). The work is most often cited by research in Education (195 citations), Developmental and Educational Psychology (60 citations), Human Factors and Ergonomics (8 citations), Information Systems and Management (23 citations) and Sociology and Political Science (121 citations). Matthew Weinstein has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Adam Gamoran, Michael Patterson, Anil V. Rao, Jennifer D. Adams, Lyn Carter, Larry Bencze, Ralph Levinson, Chantal Pouliot and Ajay Sharma. Their work appears in journals such as Cultural Studies of Science Education, Science Education, Science as Culture, Qualitative Inquiry and ACM Transactions on Mathematical Software.

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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