Davin McCall
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
- Software 7
- Software Testing and Debugging Techniques 5
- Spreadsheets and End-User Computing 2
- Software Reliability and Analysis Research 1
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- Teaching and Learning Programming 6
- Co-authors
- Michael Kölling (8 shared papers)Neil C. C. Brown (3 shared papers)Ian Utting (2 shared papers)P. S. Stevens (1 shared paper)Cristina Cifuentes (1 shared paper)Padmanabhan Krishnan (1 shared paper)
- Journals
- Computers & Security (1 paper)ACM Transactions on Computing Education (1 paper)ACM SIGCSE Bulletin (1 paper)Kent Academic Repository (University of Kent) (5 papers)
- Partner nations
- United KingdomAustralia
In The Last Decade
Davin McCall
9 papers receiving 268 citations
Peers
Comparison fields: 5 of 30
- Computer Science Applications 230
- Software 109
- Information Systems 130
- Developmental and Educational Psychology 68
- Hardware and Architecture 18
Countries citing papers authored by Davin McCall
This map shows the geographic impact of Davin McCall'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 Davin McCall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davin McCall more than expected).
Fields of papers citing papers by Davin McCall
This network shows the impact of papers produced by Davin McCall. 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 Davin McCall. The network helps show where Davin McCall may publish in the future.
Co-authors
The 6 scholars most cited alongside Davin McCall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 114 | |
| 2 | 2014 | 75 | |
| 3 | 2019 | 45 | |
| 4 | 2012 | 13 | |
| 5 | 2019 | 11 | |
| 6 | 2008 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2008 | 2 | |
| 9 | Motivating programmers via an online community | 2010 | 1 |
About Davin McCall
Davin McCall is a scholar working on Software, Computer Science Applications, Developmental and Educational Psychology, Information Systems and Human-Computer Interaction, having authored 9 papers that have together received 273 indexed citations. Recurring topics across this work include Teaching and Learning Programming (6 papers), Software Testing and Debugging Techniques (5 papers), Innovative Teaching and Learning Methods (3 papers), Usability and User Interface Design (2 papers), Spreadsheets and End-User Computing (2 papers), Software Engineering Techniques and Practices (2 papers), Software Reliability and Analysis Research (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Computer Science Applications (230 citations), Software (109 citations), Information Systems (130 citations), Developmental and Educational Psychology (68 citations) and Hardware and Architecture (18 citations). Davin McCall has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Michael Kölling, Neil C. C. Brown, Ian Utting, P. S. Stevens, Cristina Cifuentes and Padmanabhan Krishnan. Their work appears in journals such as Computers & Security, ACM Transactions on Computing Education, ACM SIGCSE Bulletin and Kent Academic Repository (University of Kent).
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.