Peter Shell
Impact in
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- Cognitive Abilities and Testing
- Education, Achievement, and Giftedness
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- Child and Animal Learning Development
- Educational and Psychological Assessments
- Reading and Literacy Development
Papers in
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- Semantic Web and Ontologies 3
- Natural Language Processing Techniques 2
- Logic, programming, and type systems 1
- Artificial Intelligence in Games 1
- Neural Networks and Applications 1
- AI-based Problem Solving and Planning 1
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- Constraint Satisfaction and Optimization 2
- Co-authors
- Marcel Adam Just (2 shared papers)Patricia A. Carpenter (2 shared papers)Jaime Carbonell (3 shared papers)Donna Gates (1 shared paper)Ariel Cohen (1 shared paper)Sergei Nirenburg (1 shared paper)
- Journals
- Psychological Review (2 papers)International Joint Conference on Artificial Intelligence (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)Figshare (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Peter Shell
5 papers receiving 1.1k citations
Peter Shell's Hit Papers
Peers
Comparison fields: 5 of 97
- Experimental and Cognitive Psychology 728
- Developmental and Educational Psychology 401
- Cognitive Neuroscience 419
- Statistics and Probability 139
- General Decision Sciences 27
Countries citing papers authored by Peter Shell
This map shows the geographic impact of Peter Shell'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 Shell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Shell more than expected).
Fields of papers citing papers by Peter Shell
This network shows the impact of papers produced by Peter Shell. 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 Shell. The network helps show where Peter Shell may publish in the future.
Co-authors
The 6 scholars most cited alongside Peter Shell, 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 | What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. Hit paper breakdown → | 1990 | 1199 |
| 2 | 1990 | 21 | |
| 3 | Towards a general framework for composing disjunctive and iterative macro-operators | 1989 | 14 |
| 4 | 1992 | 8 | |
| 5 | Improving search through diversity | 1994 | 6 |
| 6 | 1993 | 2 | |
| 7 | 2018 | 0 | |
| 8 | 2018 | 0 |
About Peter Shell
Peter Shell is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Experimental and Cognitive Psychology and Language and Linguistics, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (2 papers), Constraint Satisfaction and Optimization (2 papers), Logic, programming, and type systems (1 paper), Artificial Intelligence in Games (1 paper), Lexicography and Language Studies (1 paper), Neural Networks and Applications (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (728 citations), Developmental and Educational Psychology (401 citations), Cognitive Neuroscience (419 citations), Statistics and Probability (139 citations) and General Decision Sciences (27 citations). Peter Shell has collaborated with scholars based in United States. Frequent co-authors include Marcel Adam Just, Patricia A. Carpenter, Jaime Carbonell, Donna Gates, Ariel Cohen and Sergei Nirenburg. Their work appears in journals such as Psychological Review, International Joint Conference on Artificial Intelligence, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), Figshare and National Conference on Artificial Intelligence.
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.