John E. Hummel

3.3k citations
44 papers · 1.9k · 1 hit paper · h-index 17

Impact in

Papers in

John E. Hummel

42 papers receiving 1.7k citations

John E. Hummel's Hit Papers

Distributed representations of structure: A theory of analogical access and mapping. 1997 · 610 citations
6100+9+19Years since publication200400600

Peers

John E. Hummel
Comparison fields: 5 of 104
  • Developmental and Educational Psychology 942
  • Cognitive Neuroscience 712
  • Experimental and Cognitive Psychology 441
  • Cultural Studies 180
  • Artificial Intelligence 708
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Countries citing papers authored by John E. Hummel

Since Specialization
Citations

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

Fields of papers citing papers by John E. Hummel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Hummel. 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 John E. Hummel. The network helps show where John E. Hummel may publish in the future.

Co-authors

The 25 scholars most cited alongside John E. Hummel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John E. Hummel Line = papers co-authored together John E. Hummel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distributed representations of structure: A theory of analogical access and mapping.
Hit paper breakdown →
1997610
2 2003339
3 2008247
4 2004113
5 202268
6 201267
7 199045
8
The Proper Treatment of Symbols in a Connectionist Architecture
200044
9
LISA: A computational model of analogical inference and schema induction
199634
10 201229
11 200227
12 201324
13 200424
14 201124
15 199021
16 199619
17
A solution to the binding problem for compositional connectionism
200416
18 200916
19 201413
20 199813

About John E. Hummel

John E. Hummel is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Child and Animal Learning Development (23 papers), Advanced Text Analysis Techniques (11 papers), Cognitive Science and Mapping (9 papers), Action Observation and Synchronization (6 papers), Bayesian Modeling and Causal Inference (4 papers), Language and cultural evolution (4 papers), Social Representations and Identity (4 papers) and Cognitive Science and Education Research (3 papers). The work is most often cited by research in Developmental and Educational Psychology (942 citations), Cognitive Neuroscience (712 citations), Experimental and Cognitive Psychology (441 citations), Cultural Studies (180 citations) and Artificial Intelligence (708 citations). John E. Hummel has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Keith J. Holyoak, Leonidas A. A. Doumas, Catherine M. Sandhofer, Barbara J. Knowlton, Robert Morrison, Indre V. Viskontas, Chad J. Marsolek, Charles R. Fletcher, Jun Saiki and Wookyoung Jung. Their work appears in journals such as Behavioral and Brain Sciences, Psychological Review, Cognitive Science, Journal of Experimental Psychology Learning Memory and Cognition and Thinking & Reasoning.

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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