William Baggett

783 citations
10 papers · 476 indexed · h-index 7

Impact in

Papers in

William Baggett

9 papers receiving 418 citations

Peers

William Baggett
Comparison fields: 5 of 73
  • Developmental and Educational Psychology 290
  • Computer Science Applications 71
  • Experimental and Cognitive Psychology 126
  • Artificial Intelligence 193
  • Education 148
Replace Lennart Schalk with:
Lennart Schalk Switzerland
Pascal Wilhelm Netherlands
José Otero Spain
Brent A. Olde United States
Gemma Corbalan Netherlands
Jeri L. Little United States
J. Elizabeth Richey United States
Douglas Klahr United States
Greg Perfetto United States
Rolf Schwonke Germany
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Citations per field
00.5×2.5×
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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 17 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

10 of 10 papers shown
#Work
1
Error Analysis as a Validation of Learning Progressions.
20140
2
The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems
20147
3 201410
4
Recommendations for the Generalized Intelligent Framework for Tutoring Based on the Development of the Deep Tutor Service.
20135
5 2003284
6 199664
7 19957
8 199388
9 19921
10 199110

About William Baggett

William Baggett is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Artificial Intelligence, Education and Computational Theory and Mathematics, having authored 10 papers that have together received 476 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (3 papers), Visual and Cognitive Learning Processes (2 papers), Innovative Teaching and Learning Methods (2 papers), Educational Strategies and Epistemologies (2 papers), Child and Animal Learning Development (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Speech and dialogue systems (1 paper). The work is most often cited by research in Developmental and Educational Psychology (290 citations), Computer Science Applications (71 citations), Experimental and Cognitive Psychology (126 citations), Artificial Intelligence (193 citations) and Education (148 citations). William Baggett has collaborated with scholars based in United States. Frequent co-authors include Takashi Yamauchi, Kurt VanLehn, Charles Murray, Stephanie Siler, Arthur C. Graesser, Joseph P. Magliano, Richard A. Miller, Marie A. Sell, Dan Ştefănescu and Nobal B. Niraula. Their work appears in journals such as Discourse Processes, Journal of Applied Polymer Science, Journal of Parallel and Distributed Computing, Language Resources and Evaluation and Cognition and Instruction.

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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