Sam Cunningham

466 citations
34 papers · 329 · h-index 9

Impact in

Papers in

    • Evaluation of Teaching Practices 5
    • Online and Blended Learning 3
    • Educational Assessment and Pedagogy 3
    • Student Assessment and Feedback 3

Sam Cunningham

28 papers receiving 304 citations

Peers

Sam Cunningham
Comparison fields: 5 of 76
  • Computer Science Applications 100
  • Health Informatics 21
  • Artificial Intelligence 106
  • Education 89
  • Soil Science 22
Replace Katharine Welsh with:
Katharine Welsh United Kingdom
Terence Day Canada
Sithara H. P. W. Gamage Australia
Yanping Song China
Judy Lambert United States
Karsten Maurer United States
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Citations per field
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Citations per year

Countries citing papers authored by Sam Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Sam Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of chatbots in education: Practical steps forward
201964
2 201956
3 201645
4 201628
5 202125
6 202023
7 202015
8 202213
9 195810
10 20187
11 20235
12 20235
13 20234
14
Visually exploring sentiment and keywords for analysing student satisfaction data
20184
15 19974
16 20233
17
Linking numerical scores with sentiment analysis of students' teaching and subject evaluation surveys: Pointers to teaching enhancements
20163
18
Coverage-based next best view selection
20152
19
Visualising student satisfaction
20172
20
Pointers to Conceptual Understanding
20172

About Sam Cunningham

Sam Cunningham is a scholar working on Education, Information Systems, Computer Science Applications, Artificial Intelligence and Media Technology, having authored 34 papers that have together received 329 indexed citations. Recurring topics across this work include Evaluation of Teaching Practices (5 papers), Online Learning and Analytics (5 papers), Engineering Education and Curriculum Development (4 papers), Advanced Text Analysis Techniques (4 papers), Online and Blended Learning (3 papers), Educational Assessment and Pedagogy (3 papers), Student Assessment and Feedback (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Computer Science Applications (100 citations), Health Informatics (21 citations), Artificial Intelligence (106 citations), Education (89 citations) and Soil Science (22 citations). Sam Cunningham has collaborated with scholars based in Australia, United States and Tanzania. Frequent co-authors include Wageeh Boles, Mahsa Baktashmotlagh, Lori S. Bennear, Martin D. Smith, Abby Cathcart, Les Dawes, Howard Stein, Faustin Maganga, Rie Odgaard and Kelly Askew. Their work appears in journals such as Assessment & Evaluation in Higher Education, Student Success, IEEE Transactions on Learning Technologies, Australasian Journal of Educational Technology and IEEE Transactions on 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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