Scott McQuiggan

58 total papers · 1.5k total citations
19 papers, 581 citations indexed

About

Scott McQuiggan is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Scott McQuiggan has authored 19 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Developmental and Educational Psychology and 6 papers in Computer Science Applications. Recurrent topics in Scott McQuiggan's work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online Learning and Analytics (5 papers) and Educational Games and Gamification (4 papers). Scott McQuiggan is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online Learning and Analytics (5 papers) and Educational Games and Gamification (4 papers). Scott McQuiggan collaborates with scholars based in United States. Scott McQuiggan's co-authors include James C. Lester, Jennifer L. Robison, Jennifer Sabourin, Bradford Mott, Jonathan Rowe, Sun Young Lee, James Lester and David Coyle and has published in prestigious journals such as International Journal of Human-Computer Studies, Educational Technology & Society and User Modeling and User-Adapted Interaction.

In The Last Decade

Scott McQuiggan

16 papers receiving 531 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Scott McQuiggan 288 196 124 124 100 19 581
Shulan Lu 342 1.2× 264 1.3× 77 0.6× 122 1.0× 33 0.3× 22 672
Agneta Gulz 243 0.8× 332 1.7× 109 0.9× 137 1.1× 48 0.5× 49 659
Barry Kort 277 1.0× 207 1.1× 108 0.9× 153 1.2× 36 0.4× 6 571
François Bouchet 182 0.6× 310 1.6× 61 0.5× 222 1.8× 61 0.6× 34 606
Sandra Y. Okita 151 0.5× 196 1.0× 210 1.7× 111 0.9× 47 0.5× 30 580
Rinat B. Rosenberg‐Kima 157 0.5× 161 0.8× 183 1.5× 96 0.8× 25 0.3× 25 529
Weinan Zhao 137 0.5× 249 1.3× 53 0.4× 185 1.5× 32 0.3× 15 524
Stephan Weibelzahl 143 0.5× 119 0.6× 55 0.4× 184 1.5× 127 1.3× 39 585
Genaro Rebolledo‐Mendez 147 0.5× 302 1.5× 53 0.4× 159 1.3× 98 1.0× 38 677
Magnus Haake 157 0.5× 286 1.5× 75 0.6× 99 0.8× 32 0.3× 44 625

Countries citing papers authored by Scott McQuiggan

Since Specialization
Citations

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

Fields of papers citing papers by Scott McQuiggan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott McQuiggan

This figure shows the co-authorship network connecting the top 25 collaborators of Scott McQuiggan. A scholar is included among the top collaborators of Scott McQuiggan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott McQuiggan. Scott McQuiggan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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