Ray Bareiss

998 citations
36 papers · 572 indexed · h-index 10

Ray Bareiss

31 papers receiving 480 citations

Peers

Ray Bareiss
Comparison fields: 5 of 79
  • Computer Science Applications 91
  • Artificial Intelligence 346
  • Developmental and Educational Psychology 101
  • Software 27
  • Information Systems 139
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Citations per year

Countries citing papers authored by Ray Bareiss

Since Specialization
Citations

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

Fields of papers citing papers by Ray Bareiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Ray Bareiss, 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 Ray Bareiss Line = papers co-authored together Ray Bareiss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2 20180
3 20122
4 20121
5 20104
6 200817
7 20032
8 19987
9 19985
10 19964
11
Authoring learning environments using an embedded pedagogical model
19962
12
Administering the Business School Case Method with a Goal-Based Scenario.
19952
13 199438
14
Automated index generation for constructing large-scale conversational hypermedia systems
19933
15
Index Generation in the Construction of Large-scale Conversational Hypermedia Systems
19930
16 19932
17 199326
18
A memory architecture for case-based argumentation
19923
19 199278
20 1990164

About Ray Bareiss

Ray Bareiss is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Human-Computer Interaction, Software and Information Systems, having authored 36 papers that have together received 572 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (9 papers), Teaching and Learning Programming (7 papers), Innovative Teaching and Learning Methods (5 papers), Video Analysis and Summarization (4 papers), AI-based Problem Solving and Planning (4 papers), Multimedia Communication and Technology (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Computer Science Applications (91 citations), Artificial Intelligence (346 citations), Developmental and Educational Psychology (101 citations), Software (27 citations) and Information Systems (139 citations). Ray Bareiss has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Bruce Porter, Robert C. Holte, Lawrence Birnbaum, William D. Ferguson, Benjamin Bell, Richard Beckwith, Martin Griss, Thomas R. Hinrichs, Larry Birnbaum and Christopher Johnson. Their work appears in journals such as Machine Learning, Journal of the Learning Sciences, Artificial Intelligence, SHILAP Revista de lepidopterología and CERN Bulletin.

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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