Jim Davies

39 papers receiving 271 citations

Peers

Jim Davies
Comparison fields: 5 of 79
  • Artificial Intelligence 89
  • Cognitive Neuroscience 73
  • Experimental and Cognitive Psychology 59
  • Computer Vision and Pattern Recognition 55
  • Developmental and Educational Psychology 55
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Countries citing papers authored by Jim Davies

Since Specialization
Citations

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

Fields of papers citing papers by Jim Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Davies. A scholar is included among the top collaborators of Jim Davies 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 Jim Davies. Jim Davies 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
#WorkIndexed citations
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Introspect Model: Competency Assessment in the Virtual World.
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Coherence in the Visual Imagination: Local Hill Search Outperforms Thagard’s Connectionist Model
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Theoretical Assessment of the SOILIE Model of the Human Imagination.
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8 7
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Structure and aesthetics in non-photorealistic images
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What Makes an Explanation Believable?: Mechanistic and Anthropomorphic Explanations of Natural Phenomena
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Estimating quantitative magnitudes using semantic similarity
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Distance Estimation as a Process of Generating Ad-Hoc Metrical Systems
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A cognitive model of visual analogical problem-solving transfer
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Transfer of Problem-Solving Strategy Using the Cognitive Visual Language.
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Representation Issues in Visual Analogy
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Visual Case-Based Reasoning II: Transfer and Adaptation.
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Research Laboratories as Evolving Distributed Cognitive Systems
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Visual analogy in problem solving
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About Jim Davies

Jim Davies is a scholar working on General Decision Sciences, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 46 papers that have together received 302 indexed citations. Recurring topics across this work include Child and Animal Learning Development (10 papers), AI-based Problem Solving and Planning (8 papers) and Cognitive Science and Mapping (6 papers). The work is most often cited by research in History and Philosophy of Science (21 citations), Experimental and Cognitive Psychology (59 citations) and Developmental and Educational Psychology (55 citations). Jim Davies has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ashok K. Goel, Nancy J. Nersessian, Wendy Newstetter, Elke Kurz‐Milcke, Ralph P. Tatam, Clive Buckberry, J.D.C. Jones, Kourken Michaelian, Tony Kuo and Janice Glasgow. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and The American Journal of Psychology.

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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