Matthew W. Easterday

1.2k citations
48 papers · 836 · h-index 17

Impact in

Papers in

Matthew W. Easterday

44 papers receiving 785 citations

Peers

Matthew W. Easterday
Comparison fields: 5 of 87
  • Computer Science Applications 207
  • Developmental and Educational Psychology 301
  • Human-Computer Interaction 93
  • Education 240
  • Communication 45
Replace Robert Z. Zheng with:
Robert Z. Zheng United States
Nick Kelly Australia
Francisco Javier Hinojo Lucena Spain
Debbie Holley United Kingdom
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Fotini Paraskeva Greece
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Beaumie Kim Canada
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Citations per field
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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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 201788
3 201478
4 201854
5 201947
6 200543
7 201542
8 201130
9 201827
10 201724
11 202024
12 201621
13 200920
14 201520
15 201618
16 201818
17 201417
18 201816
19 201613
20 201712

About Matthew W. Easterday

Matthew W. Easterday is a scholar working on Developmental and Educational Psychology, Computer Science Applications, Communication, Management of Technology and Innovation and Human-Computer Interaction, having authored 48 papers that have together received 836 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (20 papers), Educational Games and Gamification (10 papers), Design Education and Practice (7 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Approaches in Technology and Social Development (5 papers), Innovative Human-Technology Interaction (5 papers), Online and Blended Learning (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Computer Science Applications (207 citations), Developmental and Educational Psychology (301 citations), Human-Computer Interaction (93 citations), Education (240 citations) and Communication (45 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, Richard Scheines, Sharon McCoy Carver, Michael D. Greenberg, Bilge Mutlu, Julie S. Hui and Jodi Forlizzi. 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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