Kathryn Cunningham

423 citations
29 papers · 278 · h-index 10

Impact in

Papers in

Kathryn Cunningham

27 papers receiving 274 citations

Peers

Kathryn Cunningham
Comparison fields: 5 of 43
  • Computer Science Applications 218
  • Software 32
  • Developmental and Educational Psychology 100
  • Information Systems 74
  • Information Systems and Management 18
Replace Bárbara Sabitzer with:
Bárbara Sabitzer Austria
Raina Mason Australia
Nataša Grgurina Netherlands
Dan Garcia United States
Caitlin Duncan New Zealand
S. Monisha Pulimood United States
Maria Kallia United Kingdom
Rodrigo Duran Finland
Isidoro Hernán Losada Spain
Miranda C. Parker United States
Kathryn Cunningham relative to Bárbara Sabitzer Austria Bárbara Sabitzer's profile →
Citations per field
00.5×4.8×
Bárbara Sabitzer · 1×
Citations per year

Countries citing papers authored by Kathryn Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201754
2 202128
3 201923
4 201922
5 201921
6 201820
7 202116
8 201715
9 202214
10 201910
11 20179
12 20226
13 20196
14 20205
15 20195
16 20204
17 20184
18 20233
19 20232
20 20242

About Kathryn Cunningham

Kathryn Cunningham is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Artificial Intelligence and Software, having authored 29 papers that have together received 278 indexed citations. Recurring topics across this work include Teaching and Learning Programming (24 papers), Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (7 papers), Educational Games and Gamification (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Experimental Learning in Engineering (3 papers), Software Engineering Research (3 papers) and Information Systems Education and Curriculum Development (3 papers). The work is most often cited by research in Computer Science Applications (218 citations), Software (32 citations), Developmental and Educational Psychology (100 citations), Information Systems (74 citations) and Information Systems and Management (18 citations). Kathryn Cunningham has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Barbara Ericson, Mark Guzdial, Jodi Asbell‐Clarke, Elizabeth Rowe, Bude Su, Eleanor O’Rourke, Marcelo Worsley, Arto Hellas, Claudia Szabo and Laura Cruz. Their work appears in journals such as ACM Inroads, PubMed, Digital Archive @ GSU, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) and To improve the academy.

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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