Leah P. Macfadyen

2.7k citations
55 papers · 1.8k indexed · 2 hit papers · h-index 19

Leah P. Macfadyen

50 papers receiving 1.6k citations

Hit Papers

A systematic revie...1142009202620142020200400600

Peers

Leah P. Macfadyen
Comparison fields: 5 of 109
  • Computer Science Applications 1.1k
  • Education 715
  • Health Informatics 30
  • Developmental and Educational Psychology 277
  • Communication 87
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Citations per year

Countries citing papers authored by Leah P. Macfadyen

Since Specialization
Citations

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

Fields of papers citing papers by Leah P. Macfadyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah P. Macfadyen. 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 Leah P. Macfadyen. The network helps show where Leah P. Macfadyen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Leah P. Macfadyen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leah P. Macfadyen Line = papers co-authored together Leah P. Macfadyen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3
Overcoming Barriers to Educational Analytics: How Systems Thinking and Pragmatism Can Help
201710
4
Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge.
201496
5 201440
6
Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan
2012189
7
New media and intercultural communication : identity, community and politics
201226
8 20127
9 201124
10
The Learner Interaction Monitoring System (LiMS): Capturing Online Learner Behaviour
20103
11
Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design.
201010
12
Learner Interaction Monitoring System (LiMS): Capturing the Behaviors of Online Learners and Evaluating Online Training Courses.
20102
13 20081
14 20041
15 20032
16 200244
17 200152
18 200030
19 199627
20 199656

About Leah P. Macfadyen

Leah P. Macfadyen is a scholar working on Computer Science Applications, Communication and Human-Computer Interaction, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Online Learning and Analytics (21 papers), Online and Blended Learning (11 papers), E-Learning and Knowledge Management (10 papers), Innovative Teaching and Learning Methods (6 papers), Digital Communication and Language (5 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Education (715 citations) and Health Informatics (30 citations). Leah P. Macfadyen has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Shane Dawson, Rosemary J. Redfield, Dragan Gašević, Seyyed Kazem Banihashem, Abelardo Pardo, Mackie Chase, Lori Lockyer, H.J.A. Biemans, Stan van Ginkel and Omid Noroozi. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology and Computers & Education.

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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