Malcolm Bauer

1.4k citations
39 papers · 1.1k · h-index 14

Impact in

Papers in

Malcolm Bauer

37 papers receiving 928 citations

Peers

Malcolm Bauer
Comparison fields: 5 of 97
  • Computer Science Applications 202
  • Developmental and Educational Psychology 438
  • General Decision Sciences 28
  • Artificial Intelligence 470
  • Experimental and Cognitive Psychology 132
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Ernest Adams United States
Marsha C. Lovett United States
Anna N. Rafferty United States
Patricia Schänk United States
Mark T. Keane Ireland
Dorrit Billman United States
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Dennis E. Egan United States
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Franz Schmalhofer Germany
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Citations per field
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Citations per year

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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993280
2 2009179
3 198991
4 198974
5 201749
6 200442
7 200739
8 201536
9 201634
10 200433
11 201526
12 201915
13
English ABLE
200714
14 199514
15 201912
16 201911
17 200311
18 201910
19 198610
20 201810

About Malcolm Bauer

Malcolm Bauer is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Education, Computer Science Applications and Experimental and Cognitive Psychology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (9 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Educational Games and Gamification (5 papers), Online Learning and Analytics (4 papers), Child and Animal Learning Development (4 papers), Speech and dialogue systems (3 papers), Reflective Practices in Education (3 papers) and Student Assessment and Feedback (3 papers). The work is most often cited by research in Computer Science Applications (202 citations), Developmental and Educational Psychology (438 citations), General Decision Sciences (28 citations), Artificial Intelligence (470 citations) and Experimental and Cognitive Psychology (132 citations). Malcolm Bauer has collaborated with scholars based in United States and Germany. Frequent co-authors include P. N. Johnson‐Laird, Valerie J. Shute, Stephen José Hanson, Matthew Ventura, Robert J. Mislevy, Diego Zapata‐Rivera, John T. Behrens, Alina von Davier, Susanne Narciss and Peter W. Foltz. Their work appears in journals such as International Journal of Artificial Intelligence in Education, Machine Learning, International Journal of Testing, Interactive Technology and Smart Education and Computer Supported Cooperative Work (CSCW).

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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