Andrew Patterson
Impact in
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- Teaching and Learning Programming
- Online Learning and Analytics
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
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- Teaching and Learning Programming 3
- Open Education and E-Learning 2
- Software 2
- Software Testing and Debugging Techniques 2
- Co-authors
- John RosenbergMichael KöllingMartha WhiteLei LeChristopher SainsburyNaira HovakimyanHenry C. ThomasIrene M. Gregory
- Journals
- Computer Science Education (1 paper)Pathology (1 paper)Frontiers in Digital Health (1 paper)ATZelektronik (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Andrew Patterson
10 papers receiving 447 citations
Peers
Comparison fields: 5 of 83
- Computer Science Applications 332
- Software 134
- Developmental and Educational Psychology 123
- Media Technology 67
- Information Systems 145
Countries citing papers authored by Andrew Patterson
This map shows the geographic impact of Andrew Patterson'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 Andrew Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Patterson more than expected).
Fields of papers citing papers by Andrew Patterson
This network shows the impact of papers produced by Andrew Patterson. 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 Andrew Patterson. The network helps show where Andrew Patterson may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Andrew Patterson, 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 | 2022 | 5 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 1 | |
| 4 | Supervised autoencoders: Improving generalization performance with unsupervised regularizers | 2018 | 95 |
| 5 | 2017 | 4 | |
| 6 | 2017 | 1 | |
| 7 | 2003 | 329 | |
| 8 | 2003 | 18 | |
| 9 | 2003 | 34 | |
| 10 | A textbook of quantitative analysis | 1952 | 1 |
About Andrew Patterson
Andrew Patterson is a scholar working on Computer Science Applications, Software, Hardware and Architecture, Health Information Management and Speech and Hearing, having authored 10 papers that have together received 490 indexed citations. Recurring topics across this work include Teaching and Learning Programming (3 papers), Open Education and E-Learning (2 papers), Real-Time Systems Scheduling (2 papers), Real-time simulation and control systems (2 papers), Software Testing and Debugging Techniques (2 papers), Ethics in Clinical Research (1 paper), Research Data Management Practices (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Computer Science Applications (332 citations), Software (134 citations), Developmental and Educational Psychology (123 citations), Media Technology (67 citations) and Information Systems (145 citations). Andrew Patterson has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include John Rosenberg, Michael Kölling, Martha White, Lei Le, Christopher Sainsbury, Naira Hovakimyan, Henry C. Thomas, Irene M. Gregory, Dmitri Roussinov and Natalie Thorne. Their work appears in journals such as Computer Science Education, Pathology, Frontiers in Digital Health, ATZelektronik and Neural Information Processing Systems.
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.