Raymond Pettit

1.2k total citations · 1 hit paper
22 papers, 771 citations indexed

About

Raymond Pettit is a scholar working on Computer Science Applications, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Raymond Pettit has authored 22 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Science Applications, 11 papers in Information Systems and 6 papers in Developmental and Educational Psychology. Recurrent topics in Raymond Pettit's work include Teaching and Learning Programming (19 papers), Online Learning and Analytics (10 papers) and Software Engineering Research (8 papers). Raymond Pettit is often cited by papers focused on Teaching and Learning Programming (19 papers), Online Learning and Analytics (10 papers) and Software Engineering Research (8 papers). Raymond Pettit collaborates with scholars based in United States, New Zealand and Ireland. Raymond Pettit's co-authors include James Prather, John Homer, Brett A. Becker, Paul Denny, Anicia Peters, Dastyni Loksa, Maxine S. Cohen, Michelle Craig, Susan Mengel and Amey Karkare and has published in prestigious journals such as ACM Transactions on Computing Education, ACM Inroads and UWA Profiles and Research Repository (UWA).

In The Last Decade

Raymond Pettit

22 papers receiving 748 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Robots Are Here: Navigating the Generative AI Revolution in Computing Education

2023 151 citations James Prather, Paul Denny et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raymond Pettit United States	13	591	269	233	195	120	22	771
Hieke Keuning Netherlands	14	627 1.1×	349 1.3×	104 0.4×	275 1.4×	212 1.8×	32	841
Linda Ott United States	10	381 0.6×	482 1.8×	137 0.6×	394 2.0×	102 0.8×	24	834
Jesús Moreno-León Spain	18	1.0k 1.7×	215 0.8×	485 2.1×	114 0.6×	153 1.3×	35	1.1k
Benjamin Xie United States	11	391 0.7×	168 0.6×	144 0.6×	78 0.4×	66 0.6×	20	520
Efthimia Aivaloglou Netherlands	13	392 0.7×	213 0.8×	138 0.6×	171 0.9×	95 0.8×	54	617
Ibrahim Albluwi United States	6	424 0.7×	139 0.5×	127 0.5×	66 0.3×	94 0.8×	10	544
Niko Myller Finland	13	504 0.9×	206 0.8×	287 1.2×	115 0.6×	148 1.2×	33	713
Michael de Raadt Australia	18	559 0.9×	189 0.7×	242 1.0×	74 0.4×	94 0.8×	36	700
Erik Barendsen Netherlands	11	296 0.5×	134 0.5×	150 0.6×	78 0.4×	152 1.3×	66	647
Daryl D’Souza Australia	16	409 0.7×	165 0.6×	150 0.6×	64 0.3×	84 0.7×	42	622

Countries citing papers authored by Raymond Pettit

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bouvier, Dennis, Richard Glassey, Raymond Pettit, et al.. (2025). GenAI Integration in Upper-Level Computing Courses. Open University of the Netherlands Research Portal. 691–692. 1 indexed citations

Csizmadia, Andrew, Janice L. Pearce, Brian Harrington, et al.. (2025). An International Examination of Non-Technical Skills and Professional Dispositions in Computing -- Identifying the Present Day Academia-Industry Gap. 124–174. 1 indexed citations

Pettit, Raymond, et al.. (2024). Performance, Workload, Emotion, and Self-Efficacy of Novice Programmers Using AI Code Generation. 290–296. 4 indexed citations

Csizmadia, Andrew, Janice L. Pearce, Brian Harrington, et al.. (2024). All for One and One for All - Collaboration in Computing Education: Policy, Practice, and Professional Dispositions. 763–764. 1 indexed citations

Pettit, Raymond, et al.. (2023). Project-Based and Assignment-Based Courses: A Study of Piazza Engagement and Gender in Online Courses. 138–144. 2 indexed citations

Prather, James, Paul Denny, Juho Leinonen, et al.. (2023). Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. 561–562. 16 indexed citations

Prather, James, Paul Denny, Juho Leinonen, et al.. (2023). The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. 108–159. 151 indexed citations breakdown →

Loksa, Dastyni, Lauren E. Margulieux, Brett A. Becker, et al.. (2022). Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use. ACM Transactions on Computing Education. 22(4). 1–31. 65 indexed citations

Pettit, Raymond, et al.. (2021). Gender and Engagement in CS Courses on Piazza. 438–444. 18 indexed citations

10.

Becker, Brett A., Paul Denny, James Prather, et al.. (2021). Towards Assessing the Readability of Programming Error Messages. 181–188. 5 indexed citations

11.

Prather, James, Raymond Pettit, Brett A. Becker, et al.. (2019). BEST PAPER AT SIGCSE 2019 IN THE CS EDUCATION TRACK: First things first: providing metacognitive scaffolding for interpreting problem prompts. ACM Inroads. 10(2). 42–49. 2 indexed citations

12.

Denny, Paul, et al.. (2019). A Closer Look at Metacognitive Scaffolding. 1–10. 35 indexed citations

13.

Becker, Brett A., Paul Denny, Raymond Pettit, et al.. (2019). Compiler Error Messages Considered Unhelpful. 177–210. 124 indexed citations

14.

Becker, Brett A., Paul Denny, Raymond Pettit, et al.. (2019). Unexpected Tokens. UWA Profiles and Research Repository (UWA). 253–254. 8 indexed citations

15.

Prather, James, et al.. (2018). Metacognitive Difficulties Faced by Novice Programmers in Automated Assessment Tools. 41–50. 84 indexed citations

16.

Pettit, Raymond & James Prather. (2017). Automated assessment tools: too many cooks, not enough collaboration. Journal of computing sciences in colleges. 32(4). 113–121. 12 indexed citations

17.

Pettit, Raymond, et al.. (2017). Do Enhanced Compiler Error Messages Help Students?. Digital Commons - ACU (Abilene Christian University). 465–470. 51 indexed citations

18.

Pettit, Raymond, et al.. (2015). Are Automated Assessment Tools Helpful in Programming Courses?. 26.230.1–26.230.20. 28 indexed citations

19.

Pettit, Raymond, et al.. (2015). An Empirical Study of Iterative Improvement in Programming Assignments. Digital Commons - ACU (Abilene Christian University). 410–415. 39 indexed citations

20.

Pettit, Raymond. (2007). Learning From Winners. Psychology Press eBooks. 2 indexed citations

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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