Malcolm Bauer

1.4k citations
30 papers · 643 · h-index 11

Impact in

Papers in

Malcolm Bauer

29 papers receiving 569 citations

Peers

Malcolm Bauer
Comparison fields: 5 of 90
  • Computer Science Applications 86
  • Developmental and Educational Psychology 184
  • General Decision Sciences 26
  • Artificial Intelligence 288
  • Experimental and Cognitive Psychology 89
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Countries citing papers authored by Malcolm Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993246
2 198978
3 198965
4 201739
5 200429
6 200728
7 200425
8 201623
9 201913
10 199512
11
English ABLE
200711
12 200310
13 20198
14 20197
15
Using Evidence-Centered Design to Develop Advanced Simulation-Based Assessment and Training
20036
16
Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10.
20165
17 20215
18 20095
19
SourceFinder: Course preparation via linguistically targeted web search
20014
20
Why Video Games can be a Good Fit for Formative Assessment
20174

About Malcolm Bauer

Malcolm Bauer is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Education, Computer Science Applications and Communication, having authored 30 papers that have together received 643 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (8 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Speech and dialogue systems (3 papers), Educational Games and Gamification (3 papers), Online Learning and Analytics (2 papers), Child and Animal Learning Development (2 papers), Science Education and Pedagogy (2 papers) and Educational Strategies and Epistemologies (2 papers). The work is most often cited by research in Computer Science Applications (86 citations), Developmental and Educational Psychology (184 citations), General Decision Sciences (26 citations), Artificial Intelligence (288 citations) and Experimental and Cognitive Psychology (89 citations). Malcolm Bauer has collaborated with scholars based in United States and Germany. Frequent co-authors include P. N. Johnson‐Laird, Stephen José Hanson, Robert J. Mislevy, John T. Behrens, Susanne Narciss, Diego Zapata‐Rivera, Peter W. Foltz, Valerie J. Shute, David M. Williamson and Jiangang Hao. Their work appears in journals such as International Journal of Testing, Machine Learning, International Journal of Artificial Intelligence in Education, International Journal of Science Education and Behavioral and Brain Sciences.

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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