Anders Weinstein
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- Teaching and Learning Programming 2
- Online Learning and Analytics 1
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- Innovative Teaching and Learning Methods 3
- Artificial Intelligence top 5%
- Intelligent Tutoring Systems and Adaptive Learning 6
- Speech and dialogue systems 1
- Education top 10%
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- Experimental Learning in Engineering 2
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- Behavioral Health and Interventions 1
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- Aging and Gerontology Research 1
- Co-authors
- Kurt VanLehnKay G. SchulzeM. C. WintersgillRobert ShelbyCollin LynchD.J. TreacyJoel A. ShapiroPamela Jordan
- Cited by
- Computer Science ApplicationsDevelopmental and Educational PsychologyArtificial Intelligence
- Journals
- Behavioral Neuroscience (1 paper)International Journal of Artificial Intelligence in Education (1 paper)Natural Language Engineering (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Anders Weinstein
9 papers receiving 422 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 198
- Developmental and Educational Psychology 252
- Artificial Intelligence 385
- Experimental and Cognitive Psychology 44
- Education 82
Countries citing papers authored by Anders Weinstein
This map shows the geographic impact of Anders Weinstein'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 Anders Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Weinstein more than expected).
Fields of papers citing papers by Anders Weinstein
This network shows the impact of papers produced by Anders Weinstein. 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 Anders Weinstein. The network helps show where Anders Weinstein may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Anders Weinstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 13 | |
| 2 | 2015 | 5 | |
| 3 | 2011 | 2 | |
| 4 | Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems | 2007 | 6 |
| 5 | 2005 | 1 | |
| 6 | 2005 | 326 | |
| 7 | The Andes Physics Tutoring System: Five Years of Evaluations | 2005 | 65 |
| 8 | Interactive Conceptual Tutoring in Atlas-Andes | 2002 | 62 |
| 9 | 2001 | 9 |
About Anders Weinstein
Anders Weinstein is a scholar working on Neuropsychology and Physiological Psychology, Computer Science Applications and General Decision Sciences, having authored 9 papers that have together received 489 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Innovative Teaching and Learning Methods (3 papers), Teaching and Learning Programming (2 papers), Experimental Learning in Engineering (2 papers), Behavioral Health and Interventions (1 paper), Speech and dialogue systems (1 paper), Online Learning and Analytics (1 paper) and Aging and Gerontology Research (1 paper). The work is most often cited by research in Computer Science Applications (198 citations), Developmental and Educational Psychology (252 citations) and Artificial Intelligence (385 citations). Anders Weinstein has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Kurt VanLehn, Kay G. Schulze, M. C. Wintersgill, Robert Shelby, Collin Lynch, D.J. Treacy, Joel A. Shapiro, Pamela Jordan, Stephanie Siler and Michael Ringenberg. Their work appears in journals such as Behavioral Neuroscience, International Journal of Artificial Intelligence in Education, Natural Language Engineering and The Physics Video Demonstration Database (Cornell University).
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.