Matthew W. Easterday

1.1k citations
43 papers · 707 · h-index 16

Impact in

Papers in

Matthew W. Easterday

40 papers receiving 667 citations

Peers

Matthew W. Easterday
Comparison fields: 5 of 85
  • Computer Science Applications 178
  • Developmental and Educational Psychology 241
  • Human-Computer Interaction 80
  • Education 214
  • Communication 41
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Citations per year

Countries citing papers authored by Matthew W. Easterday

Since Specialization
Citations

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

Fields of papers citing papers by Matthew W. Easterday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201084
2 201772
3 201470
4 201849
5 201942
6 201539
7 200537
8 201827
9 201622
10 201722
11 202021
12 201519
13 201618
14 201417
15 201817
16 200915
17 201812
18 201611
19 201710
20 201710

About Matthew W. Easterday

Matthew W. Easterday is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Mechanical Engineering, Education and Management of Technology and Innovation, having authored 43 papers that have together received 707 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (17 papers), Design Education and Practice (7 papers), Educational Games and Gamification (7 papers), Innovative Human-Technology Interaction (5 papers), Innovative Approaches in Technology and Social Development (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Open Source Software Innovations (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Computer Science Applications (178 citations), Developmental and Educational Psychology (241 citations), Human-Computer Interaction (80 citations), Education (214 citations) and Communication (41 citations). Matthew W. Easterday has collaborated with scholars based in United States, Switzerland and Philippines. Frequent co-authors include Elizabeth M. Gerber, Daniel Rees Lewis, Vincent Aleven, Amy Ogan, Michael D. Greenberg, Richard Scheines, Julie Hui, Sharon M. Carver, Leoandra Onnie Rogers and Douglas L. Medin. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Journal of the Learning Sciences, International Journal of Artificial Intelligence in Education, Instructional Science and Journal of Engineering Education.

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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