Michael D. Wallis

20 papers receiving 357 citations

Peers

Michael D. Wallis
Comparison fields: 5 of 52
  • Computer Science Applications 94
  • Developmental and Educational Psychology 126
  • Artificial Intelligence 230
  • Industrial and Manufacturing Engineering 29
  • Polymers and Plastics 44
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Countries citing papers authored by Michael D. Wallis

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Wallis. 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 Michael D. Wallis. The network helps show where Michael D. Wallis may publish in the future.

Co-authors

The 10 scholars most cited alongside Michael D. Wallis, 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 Michael D. Wallis Line = papers co-authored together Michael D. Wallis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200867
2 201146
3 200744
4 200531
5 201030
6
Dialogue Act Modeling in a Complex Task-Oriented Domain
201024
7 200923
8 200920
9 200820
10 201019
11 200916
12 200810
13 200910
14
Leveraging Hidden Dialogue State to Select Tutorial Moves
20108
15 20097
16 20096
17
JavaTutor - A Remotely Collaborative, Real-Time Distributed Intelligent Tutoring System for Introductory Java Computer Programming - A Qualitative Analysis.
20114
18 20092
19 20102
20
Learning a Tutorial Dialogue Policy for Delayed Feedback
20111

About Michael D. Wallis

Michael D. Wallis is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Polymers and Plastics, Computer Science Applications and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 390 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (16 papers), Topic Modeling (9 papers), Speech and dialogue systems (9 papers), Innovative Teaching and Learning Methods (7 papers), Polymer crystallization and properties (4 papers), Online Learning and Analytics (3 papers), Recycling and Waste Management Techniques (2 papers) and Polymer Science and PVC (2 papers). The work is most often cited by research in Computer Science Applications (94 citations), Developmental and Educational Psychology (126 citations), Artificial Intelligence (230 citations), Industrial and Manufacturing Engineering (29 citations) and Polymers and Plastics (44 citations). Michael D. Wallis has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Mladen A. Vouk, Kristy Elizabeth Boyer, Robert Phillips, James C. Lester, Suresh K. Bhatia, Eun Young Ha, P. Massarotto, Edward Kosior, Alain Mercier and Rob Phillips. Their work appears in journals such as Polymer Degradation and Stability, Computer Science Education, European Archives of Psychiatry and Clinical Neuroscience, Industrial & Engineering Chemistry Research and International Journal of Artificial Intelligence in Education.

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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