Peter W. Foltz

10.5k citations
102 papers · 6.6k indexed · 3 hit papers · h-index 27

Peter W. Foltz

96 papers receiving 5.8k citations

Hit Papers

Advancing the Science o...223199820262007201610002.0k3.0k

Peers

Peter W. Foltz
Comparison fields: 5 of 174
  • Artificial Intelligence 3.5k
  • Developmental and Educational Psychology 1.1k
  • Computer Science Applications 300
  • Experimental and Cognitive Psychology 715
  • Information Systems 1.2k
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Citations per year

Countries citing papers authored by Peter W. Foltz

Since Specialization
Citations

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

Fields of papers citing papers by Peter W. Foltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter W. Foltz. 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 Peter W. Foltz. The network helps show where Peter W. Foltz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202310
4 20223
5 20223
6 20215
7
An apprenticeship model for human and AI collaborative essay grading.
20191
8 201929
9
Assessment of collaborative problem solving.
20174
10 201739
11 201620
12 201416
13 20119
14
Automated Team Discourse Modeling: Test of Performance and Generalization
200610
15
Technologies for Augmented Collaboration
20062
16
Automated Essay Scoring: Applications to Educational Technology
1999145
17
Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report
199768
18
Interactive Information Retrieval Using Term Relationship Networks.
19976
19
Reasoning from multiple texts: An automatic analysis of readers' situation models
199619
20
Models of Human Memory and Computer Information Retrieval: Similar Approaches to Simiar Problems
19912

About Peter W. Foltz

Peter W. Foltz is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology, having authored 102 papers that have together received 6.6k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (12 papers), Team Dynamics and Performance (10 papers), Innovative Teaching and Learning Methods (10 papers), Neurobiology of Language and Bilingualism (9 papers), Advanced Text Analysis Techniques (9 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers) and Online Learning and Analytics (6 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Developmental and Educational Psychology (1.1k citations) and Computer Science Applications (300 citations). Peter W. Foltz has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Thomas K. Landauer, Darrell Laham, Walter Kintsch, Brita Elvevåg, Susan Dumais, Mark Rosenstein, Daniel R. Weinberger, Terry E. Goldberg, Chelsea Chandler and Jian Cheng. Their work appears in journals such as American Psychologist, Communications of the ACM and Journal of Abnormal Psychology.

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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