Ray Bareiss
Impact in
-
- Teaching and Learning Programming
- Artificial Intelligence top 5%
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Intelligent Tutoring Systems and Adaptive Learning
- Logic, Reasoning, and Knowledge
- Multi-Agent Systems and Negotiation
Papers in
-
- AI-based Problem Solving and Planning 6
- Intelligent Tutoring Systems and Adaptive Learning 4
-
- Teaching and Learning Programming 7
- Co-authors
- Bruce Porter (5 shared papers)Robert C. Holte (1 shared paper)Lawrence Birnbaum (5 shared papers)William D. Ferguson (1 shared paper)Richard Beckwith (2 shared papers)Benjamin Bell (2 shared papers)Martin Griss (5 shared papers)Christopher Johnson (4 shared papers)
- Journals
- Machine Learning (2 papers)Journal of the Learning Sciences (2 papers)Artificial Intelligence (1 paper)The Psychology of learning and motivation (1 paper)Ubiquitous Learning An International Journal (1 paper)
- Partner nations
- United StatesCanadaFinland
In The Last Decade
Ray Bareiss
36 papers receiving 663 citations
Peers
Comparison fields: 5 of 79
- Computer Science Applications 114
- Artificial Intelligence 487
- Developmental and Educational Psychology 140
- Software 33
- Information Systems 181
Countries citing papers authored by Ray Bareiss
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
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-authors
The 23 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.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 217 | |
| 2 | Exemplar-Based Knowledge Acquisition: A Unified Approach to Concept Representation, Classification, and Learning | 1990 | 139 |
| 3 | 1992 | 95 | |
| 4 | 1994 | 48 | |
| 5 | 1996 | 41 | |
| 6 | 1989 | 38 | |
| 7 | 1993 | 32 | |
| 8 | 2000 | 26 | |
| 9 | 2008 | 19 | |
| 10 | 2010 | 12 | |
| 11 | 2012 | 9 | |
| 12 | Automated index generation for constructing large-scale conversational hypermedia systems | 1993 | 9 |
| 13 | 2011 | 9 | |
| 14 | 1998 | 8 | |
| 15 | 1998 | 8 | |
| 16 | 1996 | 6 | |
| 17 | 2008 | 6 | |
| 18 | 1993 | 5 | |
| 19 | ASK How It Works: An interactive intelligent manual for devices | 1993 | 5 |
| 20 | Practical Methods for Automating Linking in Structured Hypermedia Systems. | 1996 | 4 |
About Ray Bareiss
Ray Bareiss is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, having authored 45 papers that have together received 782 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (11 papers), Teaching and Learning Programming (7 papers), Multimedia Communication and Technology (6 papers), Innovative Teaching and Learning Methods (6 papers), AI-based Problem Solving and Planning (6 papers), Context-Aware Activity Recognition Systems (5 papers), Video Analysis and Summarization (5 papers) and Intelligent Tutoring Systems and Adaptive Learning (4 papers). The work is most often cited by research in Computer Science Applications (114 citations), Artificial Intelligence (487 citations), Developmental and Educational Psychology (140 citations), Software (33 citations) and Information Systems (181 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, Richard Beckwith, Benjamin Bell, Martin Griss, Christopher Johnson, Larry Birnbaum and Brian M. Slator. Their work appears in journals such as Machine Learning, Journal of the Learning Sciences, Artificial Intelligence, The Psychology of learning and motivation and Ubiquitous Learning An International Journal.
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.