Amber Simpson

1.2k citations
78 papers · 827 · 1 hit paper · h-index 16

Impact in

Papers in

Amber Simpson

66 papers receiving 772 citations

Amber Simpson's Hit Papers

The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning 2025 · 26 citations
260Years since publication510152025

Peers

Amber Simpson
Comparison fields: 5 of 75
  • Developmental and Educational Psychology 281
  • Education 446
  • Computer Science Applications 84
  • Safety Research 111
  • Statistics and Probability 102
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Amber Simpson relative to Samantha G. Daley United States Samantha G. Daley's profile →
Citations per field
00.5×2×3×3.6×
Samantha G. Daley · 1×
Citations per year

Countries citing papers authored by Amber Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Amber Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amber Simpson, 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 Amber Simpson Line = papers co-authored together Amber Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004104
2 201684
3 201570
4 202057
5 201841
6 201640
7 201736
8 201732
9
The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning
Hit paper breakdown →
202526
10 201526
11 201321
12 201920
13 201619
14 201418
15 201918
16 201716
17 201914
18 201411
19 201911
20 202010

About Amber Simpson

Amber Simpson is a scholar working on Education, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Computer Science Applications and Statistics and Probability, having authored 78 papers that have together received 827 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (17 papers), Teaching and Learning Programming (12 papers), Cognitive and developmental aspects of mathematical skills (10 papers), Design Education and Practice (9 papers), Early Childhood Education and Development (7 papers), Career Development and Diversity (7 papers), Teacher Education and Leadership Studies (7 papers) and Innovative Teaching and Learning Methods (7 papers). The work is most often cited by research in Developmental and Educational Psychology (281 citations), Education (446 citations), Computer Science Applications (84 citations), Safety Research (111 citations) and Statistics and Probability (102 citations). Amber Simpson has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Adam V. Maltese, Sandra M. Linder, Kevin M. Ayres, John J. Langone, Anna Hall, Shanshan Wang, Ying Guo, Cassie Quigley, Mikel W. Cole and Erik Jacobson. Their work appears in journals such as Early Childhood Education Journal, International Journal of Science and Mathematics Education, Thinking Skills and Creativity, Journal of Science Education and Technology and Visitor Studies.

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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