William Baggett

820 citations
14 papers · 625 · h-index 8

Impact in

Papers in

William Baggett

13 papers receiving 547 citations

Peers

William Baggett
Comparison fields: 5 of 79
  • Developmental and Educational Psychology 381
  • Computer Science Applications 95
  • Experimental and Cognitive Psychology 143
  • Artificial Intelligence 286
  • Education 181
Replace José Otero with:
José Otero Spain
Allison J. Jaeger United States
Lennart Schalk Switzerland
Jeri L. Little United States
Greg Perfetto United States
Ron Salden United States
Gemma Corbalan Netherlands
Daniel M. Belenky United States
James Hoeffner United States
J. Elizabeth Richey United States
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Citations per field
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Citations per year

Countries citing papers authored by William Baggett

Since Specialization
Citations

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

Fields of papers citing papers by William Baggett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside William Baggett, 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 William Baggett Line = papers co-authored together William Baggett links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003356
2 199394
3 199673
4 199338
5 201412
6 201411
7 201410
8 199110
9 19957
10
Recommendations for the Generalized Intelligent Framework for Tutoring Based on the Development of the Deep Tutor Service.
20136
11 19965
12 19922
13 20221
14
Error Analysis as a Validation of Learning Progressions.
20140

About William Baggett

William Baggett is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Education and Social Psychology, having authored 14 papers that have together received 625 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovative Teaching and Learning Methods (4 papers), Topic Modeling (3 papers), Educational Strategies and Epistemologies (2 papers), Visual and Cognitive Learning Processes (2 papers), Natural Language Processing Techniques (2 papers), Child and Animal Learning Development (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Developmental and Educational Psychology (381 citations), Computer Science Applications (95 citations), Experimental and Cognitive Psychology (143 citations), Artificial Intelligence (286 citations) and Education (181 citations). William Baggett has collaborated with scholars based in United States. Frequent co-authors include Charles Murray, Kurt VanLehn, Takashi Yamauchi, Stephanie Siler, Arthur C. Graesser, Joseph P. Magliano, Nobal B. Niraula, Dan Ştefănescu, Vasile Rus and Rajendra Banjade. Their work appears in journals such as Discourse Processes, Applied Cognitive Psychology, Journal of Parallel and Distributed Computing, Journal of Applied Polymer Science and Language Resources and Evaluation.

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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