Andy Smith

953 citations
49 papers · 533 · h-index 13

Impact in

Papers in

    • Education Systems and Policy 9
    • Higher Education and Employability 6
    • Higher Education Learning Practices 4
    • Teaching and Learning Programming 9
    • Online Learning and Analytics 8

Andy Smith

45 papers receiving 487 citations

Peers

Andy Smith
Comparison fields: 5 of 98
  • Computer Science Applications 158
  • Developmental and Educational Psychology 176
  • Human-Computer Interaction 45
  • Human Factors and Ergonomics 13
  • Education 144
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Citations per year

Countries citing papers authored by Andy Smith

Since Specialization
Citations

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

Fields of papers citing papers by Andy Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019126
2 201948
3 201738
4 201828
5 201126
6 200319
7
Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments.
201917
8 201217
9
High quality traineeships: identifying what works
200917
10 201616
11 201016
12 202015
13 202012
14 201210
15 20219
16 20198
17 20197
18 20067
19 20217
20 20056

About Andy Smith

Andy Smith is a scholar working on Education, Computer Science Applications, Developmental and Educational Psychology, Artificial Intelligence and Economics and Econometrics, having authored 49 papers that have together received 533 indexed citations. Recurring topics across this work include Teaching and Learning Programming (9 papers), Education Systems and Policy (9 papers), Online Learning and Analytics (8 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Educational Games and Gamification (6 papers), Higher Education and Employability (6 papers), Innovative Teaching and Learning Methods (5 papers) and Higher Education Learning Practices (4 papers). The work is most often cited by research in Computer Science Applications (158 citations), Developmental and Educational Psychology (176 citations), Human-Computer Interaction (45 citations), Human Factors and Ergonomics (13 citations) and Education (144 citations). Andy Smith has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Jonathan Rowe, James C. Lester, Roger Azevedo, Robert G. Sawyer, Bradford Mott, Eric Wiebe, James Lester, Michelle Taub, Kristy Elizabeth Boyer and Erica Smith. Their work appears in journals such as Journal of Vocational Education and Training, IEEE Transactions on Learning Technologies, Gerontology, Frontiers in Psychology and Computer.

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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