Jeri L. Little

21 papers receiving 556 citations

Peers

Jeri L. Little
Comparison fields: 5 of 65
  • Cognitive Neuroscience 300
  • Developmental and Educational Psychology 290
  • Artificial Intelligence 197
  • Education 167
  • Experimental and Cognitive Psychology 123
Replace Mariëtte H. van Loon with:
Mariëtte H. van Loon Switzerland
Gino Camp Netherlands
Barbie J. Huelser United States
NarayanKripa Sundararajan United States
Phillip J. Grimaldi United States
Kathleen M. Arnold United States
Hee Seung Lee South Korea
Irina V. Kapler Canada
Carole L. Yue United States
Tino Endres Germany
Jeri L. Little relative to Mariëtte H. van Loon Switzerland Mariëtte H. van Loon's profile →
Citations per field
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Mariëtte H. van Loon · 1×
Citations per year

Countries citing papers authored by Jeri L. Little

Since Specialization
Citations

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

Fields of papers citing papers by Jeri L. Little

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeri L. Little. 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 Jeri L. Little. The network helps show where Jeri L. Little may publish in the future.

Co-authorship network of co-authors of Jeri L. Little

This figure shows the co-authorship network connecting the top 25 collaborators of Jeri L. Little. A scholar is included among the top collaborators of Jeri L. Little 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 Jeri L. Little. Jeri L. Little 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
#WorkIndexed citations
1 1
2 0
3 0
4 14
5
The Rainbow Mnemonic Improves Recall in Preschool Children.
1
6 16
7 8
8 3
9 46
10 18
11 27
12 36
13 53
14 56
15 56
16
The persisting benefits of using multiple-choice tests as learning events
12
17 112
18
Pretesting with Multiple-choice Questions Facilitates Learning
18
19 35
20
Multiple-choice testing can improve the retention of non-tested related information
7

About Jeri L. Little

Jeri L. Little is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence, having authored 23 papers that have together received 586 indexed citations. Recurring topics across this work include Memory Processes and Influences (16 papers), Intelligent Tutoring Systems and Adaptive Learning (12 papers) and Topic Modeling (7 papers). The work is most often cited by research in Developmental and Educational Psychology (290 citations), Cognitive Neuroscience (300 citations) and Family Practice (30 citations). Jeri L. Little has collaborated with scholars based in United States. Frequent co-authors include Elizabeth Ligon Bjork, Mark A. McDaniel, Benjamin C. Storm, Genna Angello, Robert A. Bjork, Nicholas C. Soderstrom, John F. Nestojko, Christopher N. Wahlheim, Dillon H. Murphy and Steven C. Pan. Their work appears in journals such as Psychological Science, Journal of Experimental Psychology Learning Memory and Cognition and Psychology and Aging.

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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