Samuel B. Day

2.8k total citations
21 papers, 500 citations indexed

About

Samuel B. Day is a scholar working on Developmental and Educational Psychology, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Samuel B. Day has authored 21 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 4 papers in Social Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Samuel B. Day's work include Child and Animal Learning Development (8 papers), Educational Strategies and Epistemologies (7 papers) and Innovative Teaching and Learning Methods (3 papers). Samuel B. Day is often cited by papers focused on Child and Animal Learning Development (8 papers), Educational Strategies and Epistemologies (7 papers) and Innovative Teaching and Learning Methods (3 papers). Samuel B. Day collaborates with scholars based in United States. Samuel B. Day's co-authors include Robert L. Goldstone, Dedre Gentner, Daniel M. Bartels, Benjamin Motz, Robert S. Sinkovits, James E. Crowe, Cinque Soto, Andre Branchizio, Robin Bombardi and Elaine C. Chen and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cognition.

In The Last Decade

Samuel B. Day

19 papers receiving 452 citations

Peers

Samuel B. Day
Comparison fields: 5 of 96
  • Developmental and Educational Psychology 197
  • Education 152
  • Experimental and Cognitive Psychology 105
  • Artificial Intelligence 77
  • Social Psychology 58
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Citations per field, relative to Samuel B. Day
Samuel B. Day · 1×
Citations per year, relative to Samuel B. Day
Samuel B. Day · 1×

Countries citing papers authored by Samuel B. Day

Since Specialization
Citations

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

Fields of papers citing papers by Samuel B. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel B. Day. 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 Samuel B. Day. The network helps show where Samuel B. Day may publish in the future.

Co-authorship network of co-authors of Samuel B. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel B. Day. A scholar is included among the top collaborators of Samuel B. Day 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 Samuel B. Day. Samuel B. Day 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
# Work Indexed citations
1 13
2 1
3 41
4 3
5
Re-representation in comparison and similarity.
3
6 20
7 165
8 72
9
Transfer, and the Effects of Context Outside of the Training Task
0
10 55
11
The effects of similarity and individual differences on comparison and transfer
10
12
Analogical transfer from interaction with a simulated physical system
4
13
Hidden Structure: Indirect Measurement of Relational Representation
2
14 72
15 19
16
Representation Across Time: Generalizing Temporal Effects on Perceived Similarity
1
17
The Effects of Prior Use on Preference
3
18
Temporal Distance, Event Representation, and Similarity
8
19
Analogical Inference in Automatic Interpretation
2
20 6

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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