Stephanie Lunn

422 citations
40 papers · 219 · h-index 9

Impact in

Papers in

Stephanie Lunn

33 papers receiving 211 citations

Peers

Stephanie Lunn
Comparison fields: 5 of 56
  • Computer Science Applications 92
  • Safety Research 33
  • Gender Studies 36
  • Education 64
  • Information Systems 47
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Sarah Hug United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephanie Lunn

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Lunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie Lunn. 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 Stephanie Lunn. The network helps show where Stephanie Lunn may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephanie Lunn, 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 Stephanie Lunn Line = papers co-authored together Stephanie Lunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202138
2 202019
3 202116
4 202116
5 202115
6 202114
7 202013
8 202210
9 20239
10
Early Career Teacher Professional Development: Bridging Simulation Technology with Evidence-Based Behavior Management.
20188
11 20206
12 20245
13 20245
14 20225
15 20234
16 20244
17 20244
18 20213
19 20243
20 20213

About Stephanie Lunn

Stephanie Lunn is a scholar working on Computer Science Applications, Information Systems, Education, Gender Studies and Safety Research, having authored 40 papers that have together received 219 indexed citations. Recurring topics across this work include Teaching and Learning Programming (18 papers), Information Systems Education and Curriculum Development (11 papers), Gender and Technology in Education (11 papers), Online Learning and Analytics (11 papers), Career Development and Diversity (5 papers), Innovative Teaching and Learning Methods (3 papers), Biomedical and Engineering Education (3 papers) and Online and Blended Learning (2 papers). The work is most often cited by research in Computer Science Applications (92 citations), Safety Research (33 citations), Gender Studies (36 citations), Education (64 citations) and Information Systems (47 citations). Stephanie Lunn has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Monique Ross, Matthew Ohland, Zhu Jia, Mark Allen Weiss, Maíra Marques Samary, Michael Georgiopoulos, Zahra Hazari, Alan Peterfreund, Christine Lisetti and Kenneth J. Christensen. Their work appears in journals such as ACM Transactions on Computing Education, Journal of Medical Internet Research, Geological Society London Memoirs, 2021 ASEE Virtual Annual Conference Content Access Proceedings and 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

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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