Raymond Pettit
- Computer Science Applications top 0.5%
- Information Systems top 2%
- Developmental and Educational Psychology top 5%
- Software top 2%
- Artificial Intelligence top 10%
- Co-authors
- James PratherJohn HomerBrett A. BeckerPaul DennyAnicia PetersDastyni LoksaMaxine S. CohenMichelle Craig
- Topics
- Teaching and Learning Programming (19 papers)Online Learning and Analytics (10 papers)Software Engineering Research (8 papers)
- Journals
- ACM Transactions on Computing EducationACM InroadsUWA Profiles and Research Repository (UWA)
- Partner nations
- United StatesNew ZealandIreland
In The Last Decade
Raymond Pettit
22 papers receiving 748 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Science Applications 591
- Information Systems 269
- Developmental and Educational Psychology 233
- Software 195
- Artificial Intelligence 120
Countries citing papers authored by Raymond Pettit
This map shows the geographic impact of Raymond Pettit'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 Raymond Pettit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Pettit more than expected).
Fields of papers citing papers by Raymond Pettit
This network shows the impact of papers produced by Raymond Pettit. 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 Raymond Pettit. The network helps show where Raymond Pettit may publish in the future.
Co-authorship network of co-authors of Raymond Pettit
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Pettit. A scholar is included among the top collaborators of Raymond Pettit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raymond Pettit. Raymond Pettit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | The Robots Are Here: Navigating the Generative AI Revolution in Computing Educationbreakdown → | 151 |
| 7 | 2 | |
| 8 | 65 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 35 | |
| 13 | 124 | |
| 14 | 69 | |
| 15 | 84 | |
| 16 | Automated assessment tools: too many cooks, not enough collaboration | 12 |
| 17 | 51 | |
| 18 | 28 | |
| 19 | 39 | |
| 20 | 2 |
About Raymond Pettit
Raymond Pettit is a scholar working on Computer Science Applications, Software and Information Systems, having authored 22 papers that have together received 771 indexed citations. Recurring topics across this work include Teaching and Learning Programming (19 papers), Online Learning and Analytics (10 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Computer Science Applications (591 citations), Software (195 citations) and Health Informatics (27 citations). Raymond Pettit has collaborated with scholars based in United States, New Zealand and Ireland. Frequent co-authors include James Prather, John Homer, Brett A. Becker, Paul Denny, Anicia Peters, Dastyni Loksa, Maxine S. Cohen, Michelle Craig, Susan Mengel and Amir Kamil. Their work appears in journals such as ACM Transactions on Computing Education, ACM Inroads and UWA Profiles and Research Repository (UWA).
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.