Jason M. Harley

2.9k citations
56 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Simulation-Based Education in Healthcare (15 papers)Innovative Teaching and Learning Methods (12 papers)Intelligent Tutoring Systems and Adaptive Learning (12 papers)
Journals
SHILAP Revista de lepidopterologíaComputers in Human BehaviorNeurosurgery

In The Last Decade

Jason M. Harley

52 papers receiving 1.3k citations

Hit Papers

Emotion Regulation in Achievement Situations: An Integrat...2019202620212023201950100150

Peers

Jason M. Harley
Comparison fields: 5 of 112
  • Developmental and Educational Psychology 360
  • Education 277
  • Social Psychology 272
  • Experimental and Cognitive Psychology 270
  • Computer Science Applications 224
Replace Doris Holzberger with:
Doris Holzberger Germany
Lasse X Jensen Denmark
Ilana Dubovi Israel
J. D. Fletcher United States
Jerome I. Rotgans Singapore
Juan Zheng Canada
Alexander Skulmowski Germany
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Dorian Peters Australia
Olga Chernikova Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jason M. Harley

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Harley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Harley. 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 Jason M. Harley. The network helps show where Jason M. Harley may publish in the future.

Co-authorship network of co-authors of Jason M. Harley

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Harley. A scholar is included among the top collaborators of Jason M. Harley 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 Jason M. Harley. Jason M. Harley 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 5
4 2
5 7
6 16
7 3
8 7
9 37
10 24
11 7
12 30
13 6
14 0
15 19
16 4
17 8
18 61
19 1
20
The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor
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About Jason M. Harley

Jason M. Harley is a scholar working on Health Informatics, Computer Science Applications and Family Practice, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (15 papers), Innovative Teaching and Learning Methods (12 papers) and Intelligent Tutoring Systems and Adaptive Learning (12 papers). The work is most often cited by research in Health Informatics (98 citations), Computer Science Applications (224 citations) and Developmental and Educational Psychology (360 citations). Jason M. Harley has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Susanne P. Lajoie, Amanda Jarrell, Roger Azevedo, François Bouchet, Jamie L. Taxer, Reinhard Pekrun, James J. Gross, Melissa Duffy, M. Sazzad Hussain and Rafael A. Calvo. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Neurosurgery.

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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