Michael G. Dyer

2.0k total citations
75 papers, 1.2k citations indexed

About

Michael G. Dyer is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael G. Dyer has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael G. Dyer's work include Topic Modeling (20 papers), Natural Language Processing Techniques (18 papers) and AI-based Problem Solving and Planning (10 papers). Michael G. Dyer is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (18 papers) and AI-based Problem Solving and Planning (10 papers). Michael G. Dyer collaborates with scholars based in United States and France. Michael G. Dyer's co-authors include Trent E. Lange, Margot Flowers, Risto Miikkulainen, Michael J. Pazzani, Wendy G. Lehnert, Peter N. Johnson, Valeriy Nenov, Alex Quilici, Colleen M. Seifert and John B. Black and has published in prestigious journals such as Trends in Cognitive Sciences, Behavioral and Brain Sciences and Artificial Intelligence.

In The Last Decade

Michael G. Dyer

69 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael G. Dyer United States 14 757 202 185 149 99 75 1.2k
M. Ross Quillian United States 7 611 0.8× 218 1.1× 360 1.9× 330 2.2× 115 1.2× 12 1.2k
Rineke Verbrugge Netherlands 20 590 0.8× 127 0.6× 236 1.3× 288 1.9× 183 1.8× 118 1.4k
Sangeet Khemlani United States 22 636 0.8× 261 1.3× 370 2.0× 417 2.8× 243 2.5× 82 1.5k
C. Raymond Perrault Canada 10 1.3k 1.7× 227 1.1× 103 0.6× 67 0.4× 109 1.1× 18 1.7k
William J. Rapaport United States 19 501 0.7× 277 1.4× 187 1.0× 39 0.3× 46 0.5× 84 1.0k
Joseph P. Levy United Kingdom 10 568 0.8× 121 0.6× 239 1.3× 226 1.5× 90 0.9× 19 1.0k
Henry S. Thompson United Kingdom 17 1.1k 1.5× 373 1.8× 95 0.5× 83 0.6× 100 1.0× 57 1.6k
Graéme Ritchie United Kingdom 20 1.1k 1.5× 518 2.6× 119 0.6× 54 0.4× 463 4.7× 73 1.8k
Kevin Lund United States 5 838 1.1× 278 1.4× 528 2.9× 421 2.8× 155 1.6× 6 1.5k
Marco Colombetti Italy 20 906 1.2× 59 0.3× 82 0.4× 67 0.4× 60 0.6× 66 1.2k

Countries citing papers authored by Michael G. Dyer

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Dyer. 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 Michael G. Dyer. The network helps show where Michael G. Dyer may publish in the future.

Co-authorship network of co-authors of Michael G. Dyer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Dyer. A scholar is included among the top collaborators of Michael G. Dyer 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 Michael G. Dyer. Michael G. Dyer 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
1.
Panangadan, Anand & Michael G. Dyer. (2002). Learning Spatial and Temporal Correlation for Navigation in a 2-Dimensional Continuous World. International Conference on Machine Learning. 474–481. 1 indexed citations
2.
Dyer, Michael G.. (2000). Understanding Language Understanding: Computational Models of Reading edited by Ashwin Ram and Kenneth Moorman. Trends in Cognitive Sciences. 4(1). 35–35. 1 indexed citations
3.
Nenov, Valeriy & Michael G. Dyer. (1994). Language learning via perceptual/motor association: a massively parallel model. MIT Press eBooks. 202–245. 1 indexed citations
4.
Dyer, Michael G.. (1994). QUANTUM PHYSICS AND CONSCIOUSNESS, CREATIVITY, COMPUTERS: A COMMENTARY ON GOSWAMI'S QUANTUM-BASED THERORY OF CONSCIOUSNESS AND FREE WILL. ˜The œJournal of mind and behavior. 15(3). 265–290. 1 indexed citations
5.
Werner, Gregory M. & Michael G. Dyer. (1994). BioLand: a massively parallel simulation environment for evolving distributed forms of intelligent behavior. MIT Press eBooks. 316–349. 9 indexed citations
6.
Dyer, Michael G., et al.. (1991). Computational morality: a process model of belief conflict and resolution for story understanding. 10 indexed citations
7.
Dyer, Michael G., et al.. (1989). Storing and generalizing multiple instances while maintaining knowledge-level parallelism. Journal of Biomaterials Applications. 36(9). 1426–1431. 12 indexed citations
8.
Dyer, Michael G.. (1989). Comprehension and Acquisition of Figurative Expressions With Phrasal/Lexical Memory. 4(3). 173–201. 1 indexed citations
9.
Lange, Trent E. & Michael G. Dyer. (1988). Dynamic, Non-Local Role Bindings and Inferencing in a Localist Network for Natural Language Understanding. Neural Information Processing Systems. 1. 545–552. 9 indexed citations
10.
Dyer, Michael G., et al.. (1987). Toward the evolution of symbols. international conference on Genetic algorithms. 123–131. 10 indexed citations
11.
Dyer, Michael G.. (1987). Emotions and their computations: Three computer models. Cognition & Emotion. 1(3). 323–347. 67 indexed citations
12.
Pazzani, Michael J., Michael G. Dyer, & Margot Flowers. (1986). The role of prior causal theories in generalization. National Conference on Artificial Intelligence. 545–550. 25 indexed citations
13.
Dyer, Michael G., et al.. (1985). Understanding analogies in editorials. International Joint Conference on Artificial Intelligence. 845–847. 5 indexed citations
14.
Dyer, Michael G., et al.. (1985). Learning planning heuristic through observation. International Joint Conference on Artificial Intelligence. 600–602. 1 indexed citations
15.
Dyer, Michael G.. (1983). Understanding stories through morals and remindings. International Joint Conference on Artificial Intelligence. 75–77. 5 indexed citations
16.
Dyer, Michael G.. (1982). Affect processing for narratives. National Conference on Artificial Intelligence. 265–268. 4 indexed citations
17.
Dyer, Michael G.. (1981). Restaurant revisited or Lunch with BORIS. International Joint Conference on Artificial Intelligence. 234–236. 5 indexed citations
18.
Dyer, Michael G.. (1981). Integration, unification, reconstruction, modification: an eternal parsing braid. International Joint Conference on Artificial Intelligence. 37–42. 4 indexed citations
19.
Dyer, Michael G., et al.. (1981). BORIS: an in-depth understander of narratives. International Joint Conference on Artificial Intelligence. 32(4). 1057–1057. 4 indexed citations
20.
Dyer, Michael G., et al.. (1980). Memory Organization and Search Processes for Narratives.. Defense Technical Information Center (DTIC). 7 indexed citations

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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