John E. Hummel

3.3k citations
51 papers · 2.3k · 1 hit paper · h-index 19

Impact in

Papers in

John E. Hummel

48 papers receiving 2.0k citations

John E. Hummel's Hit Papers

Distributed representations of structure: A theory of analogical access and mapping. 1997 · 713 citations
7130+9+19Years since publication200400600

Peers

John E. Hummel
Comparison fields: 5 of 109
  • Developmental and Educational Psychology 1.1k
  • Cognitive Neuroscience 816
  • Experimental and Cognitive Psychology 550
  • Cultural Studies 226
  • Artificial Intelligence 849
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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 51 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 →
1997713
2 2003407
3 2008263
4 2004119
5 202276
6 201274
7
The Proper Treatment of Symbols in a Connectionist Architecture
200055
8 199050
9
LISA: A computational model of analogical inference and schema induction
199639
10 200136
11 200235
12 201232
13 199028
14 201227
15 201327
16 200427
17 201127
18 199621
19
A solution to the binding problem for compositional connectionism
200419
20 200918

About John E. Hummel

John E. Hummel is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Child and Animal Learning Development (24 papers), Cognitive Science and Mapping (12 papers), Advanced Text Analysis Techniques (11 papers), Action Observation and Synchronization (7 papers), Language and cultural evolution (5 papers), Social Representations and Identity (4 papers), Bayesian Modeling and Causal Inference (4 papers) and Language, Metaphor, and Cognition (4 papers). The work is most often cited by research in Developmental and Educational Psychology (1.1k citations), Cognitive Neuroscience (816 citations), Experimental and Cognitive Psychology (550 citations), Cultural Studies (226 citations) and Artificial Intelligence (849 citations). John E. Hummel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Keith J. Holyoak, Leonidas A. A. Doumas, Catherine M. Sandhofer, Barbara J. Knowlton, Robert Morrison, Chad J. Marsolek, Charles R. Fletcher, Indre V. Viskontas, Jun Saiki and Wookyoung Jung. Their work appears in journals such as Behavioral and Brain Sciences, Cognitive Science, Psychological Review, Journal of Experimental Psychology Learning Memory and Cognition and Journal of Vision.

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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