Erin Shaw

1.5k citations
38 papers · 818 · h-index 14

Impact in

Papers in

Erin Shaw

35 papers receiving 732 citations

Peers

Erin Shaw
Comparison fields: 5 of 85
  • Computer Science Applications 119
  • Developmental and Educational Psychology 238
  • Artificial Intelligence 457
  • Human-Computer Interaction 66
  • Experimental and Cognitive Psychology 115
Replace Howard Hao-Jan Chen with:
Howard Hao-Jan Chen Taiwan
Noah Wardrip–Fruin United States
Brian M. Slator United States
Qifan Yang China
Sangmin‐Michelle Lee South Korea
Mary C. Dyson United Kingdom
H. Chad Lane United States
Paul Brna United Kingdom
Paul Vogt Netherlands
Safinah Ali United States
Erin Shaw relative to Howard Hao-Jan Chen Taiwan Howard Hao-Jan Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erin Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Erin Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 1999131
3
Animated Pedagogical Agents: An Opportunity to be Grasped?
200269
4 200669
5 200558
6 200542
7 200639
8
Building a Case for Agent-Assisted Learning as a Catalyst for Curriculum Reform in Medical Education
200030
9 200323
10
Dienst: Implementation Reference Manual
199520
11 199719
12
The Politeness Effect: Pedagogical Agents and Learning Gains
200519
13 201618
14
Towards modeling threaded discussions using induced ontology knowledge
200615
15
Working memory and math problem solving by blind middle and high school students: Implications for universal access
20089
16 20199
17
An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions.
20078
18
Assisting Instructional Assessment of Undergraduate Collaborative Wiki and SVN Activities.
20127
19
Teaching Vocabulary Through Data-Driven Learning
20116
20
Pedagogical Discourse: Connecting Students to Past Discussions and Peer Mentors within an Online Discussion Board
20095

About Erin Shaw

Erin Shaw is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Communication, Education and Social Psychology, having authored 38 papers that have together received 818 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (13 papers), Speech and dialogue systems (7 papers), Wikis in Education and Collaboration (6 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Topic Modeling (5 papers), Online and Blended Learning (4 papers), Multi-Agent Systems and Negotiation (3 papers) and AI in Service Interactions (3 papers). The work is most often cited by research in Computer Science Applications (119 citations), Developmental and Educational Psychology (238 citations), Artificial Intelligence (457 citations), Human-Computer Interaction (66 citations) and Experimental and Cognitive Psychology (115 citations). Erin Shaw has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include W. Lewis Johnson, Richard E. Mayer, Rajaram Ganeshan, Paola Rizzo, Jihie Kim, Eduard Hovy, Ning Wang, Geraldine Clarebout, Jan Elen and Ning Wang. Their work appears in journals such as International Journal of Human-Computer Studies, Scientific Reports, Journal of Experimental Biology, Artificial Intelligence Review and Computer Graphics Forum.

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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