Joshua Quick

20 papers receiving 176 citations

Peers

Joshua Quick
Comparison fields: 5 of 40
  • Computer Science Applications 93
  • Developmental and Educational Psychology 50
  • Education 82
  • Health Informatics 2
  • Information Systems and Management 10
Replace Wee Hoe Tan with:
Wee Hoe Tan Malaysia
Eyal Rabin Israel
Gill Althia Francis United Kingdom
José M. Rodríguez-Ferrer Spain
Eabhnat Ní Fhloinn Ireland
Sebastian Strauß Germany
Elizabeth Dyer United States
Khaled Mohsen Jordan
Rachel Slama United States
Muhammad Younas China
Joshua Quick relative to Wee Hoe Tan Malaysia Wee Hoe Tan's profile →
Citations per field
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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 20 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

20 of 20 papers shown
#Work
1 202136
2 201929
3 202122
4 202320
5 202217
6 202015
7 20228
8 20167
9 20157
10 20216
11 20234
12
Digital Badges and Ethics: The Uses of Individual Learning Data in Social Contexts.
20153
13
Learning Analytics and Knowledge 2019
20183
14 20242
15
A Modest Feature for Repositioning Minoritized Online Students to Support Disciplinary Engagement and Achievement.
20201
16 20231
17 20201
18
The Digital Divide among College Students: Lessons Learned from the COVID-19 Emergency Transition. Policy Report.
20211
19 20201
20 20201

About Joshua Quick

Joshua Quick is a scholar working on Computer Science Applications, Education, Developmental and Educational Psychology, Information Systems and Clinical Psychology, having authored 20 papers that have together received 185 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Online and Blended Learning (8 papers), Innovative Teaching and Learning Methods (3 papers), Library Collection Development and Digital Resources (2 papers), COVID-19 and Mental Health (2 papers), Behavioral Health and Interventions (1 paper), Experimental Behavioral Economics Studies (1 paper) and Innovations in Educational Methods (1 paper). The work is most often cited by research in Computer Science Applications (93 citations), Developmental and Educational Psychology (50 citations), Education (82 citations), Health Informatics (2 citations) and Information Systems and Management (10 citations). Joshua Quick has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Benjamin Motz, Noah L. Schroeder, Daniel T. Hickey, Fernando Marmolejo‐Ramos, Xinyi Shen, Yoav Bergner, Christopher Brooks, Geraldine Gray, Janis L. Breeze and James E. Willis. Their work appears in journals such as Online Learning, IEEE Transactions on Learning Technologies, Journal of Cardiothoracic and Vascular Anesthesia, American Economic Journal Microeconomics and Journal of Learning Analytics.

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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