John A. Ellis

528 total citations
27 papers, 331 citations indexed

About

John A. Ellis is a scholar working on Artificial Intelligence, Education and Cognitive Neuroscience. According to data from OpenAlex, John A. Ellis has authored 27 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Education and 6 papers in Cognitive Neuroscience. Recurrent topics in John A. Ellis's work include Memory Processes and Influences (6 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Visual and Cognitive Learning Processes (4 papers). John A. Ellis is often cited by papers focused on Memory Processes and Influences (6 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Visual and Cognitive Learning Processes (4 papers). John A. Ellis collaborates with scholars based in United States and United Kingdom. John A. Ellis's co-authors include George Semb, John Fontenele Araújo, Daniel M. Laskin, William E. Montague, Brian P. Cole, Paula Konoske, Al M. Best, Barbara E. Taylor, Barbara A. McDonald and Jon L. Williams and has published in prestigious journals such as Journal of Educational Psychology, Review of Educational Research and American Educational Research Journal.

In The Last Decade

John A. Ellis

23 papers receiving 296 citations

Peers

John A. Ellis
Comparison fields: 5 of 82
  • Developmental and Educational Psychology 131
  • Education 127
  • Experimental and Cognitive Psychology 58
  • Artificial Intelligence 52
  • Public Health, Environmental and Occupational Health 48
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Citations per field, relative to John A. Ellis
John A. Ellis · 1×
Citations per year, relative to John A. Ellis
John A. Ellis · 1×

Countries citing papers authored by John A. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by John A. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Ellis. A scholar is included among the top collaborators of John A. Ellis 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 John A. Ellis. John A. Ellis 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 0
2 20
3 23
4 3
5 12
6
The Interactive Multisensor Analysis Training (IMAT) System: An Evaluation in Operator and Tactician Training.
2
7 18
8 8
9 106
10 2
11 6
12 47
13 1
14
Knowledge Learned in College: What Is Remembered?.
3
15 6
16
An analysis of perceptions of Indiana secondary teachers regarding components deemed important to effective staff development programs
0
17 2
18
COGNITIVE FACTORS IN LEARNING AND RETENTION OF PROCEDURAL TASKS
9
19 11
20 1

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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