Leonard D. Stern

519 total citations
17 papers, 373 citations indexed

About

Leonard D. Stern is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Leonard D. Stern has authored 17 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Developmental and Educational Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Leonard D. Stern's work include Memory Processes and Influences (8 papers), Child and Animal Learning Development (6 papers) and Visual and Cognitive Learning Processes (3 papers). Leonard D. Stern is often cited by papers focused on Memory Processes and Influences (8 papers), Child and Animal Learning Development (6 papers) and Visual and Cognitive Learning Processes (3 papers). Leonard D. Stern collaborates with scholars based in United States. Leonard D. Stern's co-authors include Douglas L. Hintzman, Murray G. Millar, Elizabeth A. Cole, Corby K. Martin, Philip C. Watkins and Elizabeth Cole and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Abnormal Psychology and Memory & Cognition.

In The Last Decade

Leonard D. Stern

17 papers receiving 318 citations

Peers

Leonard D. Stern
Comparison fields: 5 of 92
  • Cognitive Neuroscience 207
  • Sociology and Political Science 91
  • Social Psychology 87
  • Experimental and Cognitive Psychology 87
  • Developmental and Educational Psychology 69
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Citations per field, relative to Leonard D. Stern
Leonard D. Stern · 1×
Citations per year, relative to Leonard D. Stern
Leonard D. Stern · 1×

Countries citing papers authored by Leonard D. Stern

Since Specialization
Citations

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

Fields of papers citing papers by Leonard D. Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard D. Stern. 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 Leonard D. Stern. The network helps show where Leonard D. Stern may publish in the future.

Co-authorship network of co-authors of Leonard D. Stern

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard D. Stern. A scholar is included among the top collaborators of Leonard D. Stern 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 Leonard D. Stern. Leonard D. Stern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1
A Visual Approach to SPSS for Windows: A Guide to SPSS 15.0
42
2 2
3 66
4 3
5 6
6
The structures and strategies of human memory
18
7 100
8 4
9 10
10 25
11 2
12 5
13 15
14 49
15 21
16 3
17 2

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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