R. Charles Murray

639 total citations
22 papers, 259 citations indexed

About

R. Charles Murray is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, R. Charles Murray has authored 22 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Developmental and Educational Psychology and 3 papers in Computer Science Applications. Recurrent topics in R. Charles Murray's work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovative Teaching and Learning Methods (4 papers) and AI-based Problem Solving and Planning (3 papers). R. Charles Murray is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (5 papers), Innovative Teaching and Learning Methods (4 papers) and AI-based Problem Solving and Planning (3 papers). R. Charles Murray collaborates with scholars based in United States, Australia and Germany. R. Charles Murray's co-authors include Kurt VanLehn, Jack Mostow, Louis H. Hempelmann, STEVE RITTER, Thomas K. Harris, Brendon Towle, Carolyn Penstein Rosé, Majd Sakr, Michael Hilton and Christopher Bogart and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Neurology.

In The Last Decade

R. Charles Murray

20 papers receiving 224 citations

Peers

R. Charles Murray
Comparison fields: 5 of 88
  • Artificial Intelligence 100
  • Computer Science Applications 81
  • Developmental and Educational Psychology 51
  • Information Systems 24
  • Radiology, Nuclear Medicine and Imaging 18
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Citations per field, relative to R. Charles Murray
R. Charles Murray · 1×
Citations per year, relative to R. Charles Murray
R. Charles Murray · 1×

Countries citing papers authored by R. Charles Murray

Since Specialization
Citations

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

Fields of papers citing papers by R. Charles Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Charles Murray. 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 R. Charles Murray. The network helps show where R. Charles Murray may publish in the future.

Co-authorship network of co-authors of R. Charles Murray

This figure shows the co-authorship network connecting the top 25 collaborators of R. Charles Murray. A scholar is included among the top collaborators of R. Charles Murray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. Charles Murray. R. Charles Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 2
5 3
6 14
7 6
8
Creating Opportunities for Transactive Exchange for Learning in Performance-Oriented Team Projects.
1
9 4
10 15
11 13
12 24
13 1
14
Reducing the Knowledge Tracing Space
37
15 11
16
Effects of Dissuading Unnecessary Help Requests While Providing Proactive Help
31
17 39
18 2
19
A Decision-Theoretic Architecture for Selecting Tutorial Discourse Actions
2
20 40

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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