Joshua Quick

1.6k citations
17 papers · 150 · h-index 7

Impact in

Papers in

Joshua Quick

15 papers receiving 144 citations

Peers

Joshua Quick
Comparison fields: 5 of 38
  • Computer Science Applications 68
  • Developmental and Educational Psychology 44
  • Education 73
  • Information Systems and Management 8
  • Applied Psychology 5
Replace José M. Rodríguez-Ferrer with:
José M. Rodríguez-Ferrer Spain
Rachel Slama United States
Geiser Chalco Challco Brazil
Hyun Jin Cho United States
Sebastian Strauß Germany
Wee Hoe Tan Malaysia
Stijn Van Laer Belgium
Alfred Lindl Germany
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Stuart Hallifax France
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Citations per field
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José M. Rodríguez-Ferrer · 1×
Citations per year

Countries citing papers authored by Joshua Quick

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Quick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Joshua Quick, 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 Joshua Quick Line = papers co-authored together Joshua Quick links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202134
2 201926
3 202121
4 202319
5 202012
6 20167
7 20227
8 20216
9 20155
10 20234
11
Learning Analytics and Knowledge 2019
20183
12
Digital Badges and Ethics: The Uses of Individual Learning Data in Social Contexts.
20152
13
A Modest Feature for Repositioning Minoritized Online Students to Support Disciplinary Engagement and Achievement.
20201
14 20231
15 20201
16 20241
17
The Digital Divide among College Students: Lessons Learned from the COVID-19 Emergency Transition. Policy Report.
20210

About Joshua Quick

Joshua Quick is a scholar working on Education, Computer Science Applications, Developmental and Educational Psychology, Clinical Psychology and Computer Networks and Communications, having authored 17 papers that have together received 150 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), Online and Blended Learning (8 papers), Innovative Teaching and Learning Methods (3 papers), COVID-19 and Mental Health (2 papers), Behavioral Health and Interventions (1 paper), Experimental Behavioral Economics Studies (1 paper), Innovations in Educational Methods (1 paper) and Higher Education Learning Practices (1 paper). The work is most often cited by research in Computer Science Applications (68 citations), Developmental and Educational Psychology (44 citations), Education (73 citations), Information Systems and Management (8 citations) and Applied Psychology (5 citations). Joshua Quick has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Benjamin Motz, Noah L. Schroeder, Daniel T. Hickey, Xinyi Shen, Christopher Brooks, Fernando Marmolejo‐Ramos, Yoav Bergner, Geraldine Gray, James E. Willis and Elizabeth A. Canning. Their work appears in journals such as IEEE Transactions on Learning Technologies, Journal of Learning Analytics, Journal of Cardiothoracic and Vascular Anesthesia, American Economic Journal Microeconomics and Online Learning.

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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