Stephen MacNeil

2.0k total citations · 5 hit papers
63 papers, 1.1k citations indexed

About

Stephen MacNeil is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Stephen MacNeil has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Science Applications, 18 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Stephen MacNeil's work include Online Learning and Analytics (20 papers), Teaching and Learning Programming (18 papers) and Software Engineering Research (7 papers). Stephen MacNeil is often cited by papers focused on Online Learning and Analytics (20 papers), Teaching and Learning Programming (18 papers) and Software Engineering Research (7 papers). Stephen MacNeil collaborates with scholars based in United States, Finland and New Zealand. Stephen MacNeil's co-authors include Andrew Tran, Juho Leinonen, Paul Denny, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim, James Prather, Brett A. Becker and Brent N. Reeves and has published in prestigious journals such as Journal of Biomechanics, Computer Graphics Forum and American Journal of Speech-Language Pathology.

In The Last Decade

Stephen MacNeil

55 papers receiving 1.0k citations

Hit Papers

5 papers align trajectories

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 →
Generating Diverse Code Explanations using the GPT-3 Large Language Model

2022 126 citations Stephen MacNeil, Andrew Tran et al. profile →
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book

2023 115 citations Stephen MacNeil, Andrew Tran et al. Aaltodoc (Aalto University) profile →
Comparing Code Explanations Created by Students and Large Language Models

2023 103 citations Juho Leinonen, Paul Denny et al. Aaltodoc (Aalto University) profile →
The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers

2024 53 citations James Prather, Brent N. Reeves et al. Aaltodoc (Aalto University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen MacNeil United States	15	567	402	246	143	129	63	1.1k
Brent N. Reeves United States	18	560 1.0×	391 1.0×	348 1.4×	90 0.6×	118 0.9×	37	1.2k
Arto Hellas Finland	20	1.3k 2.2×	459 1.1×	440 1.8×	106 0.7×	350 2.7×	115	1.7k
Juho Leinonen Finland	21	1.4k 2.5×	660 1.6×	549 2.2×	177 1.2×	331 2.6×	118	2.1k
Irene Lee United States	14	1.3k 2.2×	228 0.6×	240 1.0×	73 0.5×	515 4.0×	38	1.6k
Shiyan Jiang United States	13	487 0.9×	127 0.3×	125 0.5×	52 0.4×	242 1.9×	55	842
Benedict du Boulay United Kingdom	20	1.1k 1.9×	640 1.6×	450 1.8×	60 0.4×	678 5.3×	60	1.8k
Nasser Giacaman New Zealand	12	252 0.4×	108 0.3×	181 0.7×	35 0.2×	76 0.6×	73	560
Barbara Ericson United States	22	1.1k 2.0×	215 0.5×	266 1.1×	21 0.1×	463 3.6×	87	1.4k
Deborah Seehorn United States	7	528 0.9×	149 0.4×	150 0.6×	38 0.3×	173 1.3×	8	738
Chris Piech United States	16	1.5k 2.6×	779 1.9×	378 1.5×	27 0.2×	378 2.9×	45	2.0k

Countries citing papers authored by Stephen MacNeil

Since Specialization

Citations

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

Fields of papers citing papers by Stephen MacNeil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen MacNeil

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen MacNeil. A scholar is included among the top collaborators of Stephen MacNeil 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 Stephen MacNeil. Stephen MacNeil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kiesler, Natalie, J. J. B. Smith, Juho Leinonen, et al.. (2025). The Role of Generative AI in Software Student CollaborAItion. Jyväskylä University Digital Archive (University of Jyväskylä). 72–78. 2 indexed citations

Holyfield, Christine, et al.. (2025). Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC. 1–18.

Lee, Jihye, et al.. (2025). Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models. 124–133.

Prather, James, Juho Leinonen, Natalie Kiesler, et al.. (2025). Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. VTechWorks (Virginia Tech). 300–338. 10 indexed citations

Denny, Paul, David H. Smith, Juho Leinonen, et al.. (2025). Exploring Student Reactions to LLM-Generated Feedback on Explain in Plain English Problems. Aaltodoc (Aalto University). 575–581. 1 indexed citations

Leinonen, Juho, et al.. (2025). LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education. Aaltodoc (Aalto University). 56–63. 2 indexed citations

Holyfield, Christine, et al.. (2024). Leveraging Communication Partner Speech to Automate Augmented Input for Children on the Autism Spectrum Who Are Minimally Verbal: Prototype Development and Preliminary Efficacy Investigation. American Journal of Speech-Language Pathology. 33(3). 1174–1192. 10 indexed citations

MacNeil, Stephen, Juho Leinonen, Paul Denny, et al.. (2024). Discussing the Changing Landscape of Generative AI in Computing Education. OHMdok (Technische Hochschule Nürnberg). 1916–1916. 6 indexed citations

Prather, James, et al.. (2024). The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. Aaltodoc (Aalto University). 469–486. 53 indexed citations breakdown →

10.

MacNeil, Stephen, et al.. (2024). Context or Clutter? Efficiently Matching Objects Across Scenes. 404–413.

11.

Prather, James, Juho Leinonen, Natalie Kiesler, et al.. (2024). How Instructors Incorporate Generative AI into Teaching Computing. OHMdok (Technische Hochschule Nürnberg). 771–772. 10 indexed citations

12.

MacNeil, Stephen, et al.. (2024). The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in Hiring. 1–18. 11 indexed citations

13.

Leinonen, Juho, Stephen MacNeil, Paul Denny, & Arto Hellas. (2024). Using Large Language Models for Teaching Computing. 1901–1901. 2 indexed citations

14.

Holyfield, Christine, et al.. (2024). Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays. 1–6. 3 indexed citations

15.

Denny, Paul, David H. Smith, James Prather, et al.. (2024). Integrating Natural Language Prompting Tasks in Introductory Programming Courses. 88–94. 3 indexed citations

16.

MacNeil, Stephen, et al.. (2023). Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. 1–3. 14 indexed citations

17.

MacNeil, Stephen, et al.. (2023). DesignNet: a knowledge graph representation of the conceptual design space. Creativity and Cognition. 375–377. 1 indexed citations

18.

Leinonen, Juho, Paul Denny, Stephen MacNeil, et al.. (2023). Comparing Code Explanations Created by Students and Large Language Models. Aaltodoc (Aalto University). 124–130. 103 indexed citations breakdown →

19.

MacNeil, Stephen, Andrew Tran, Arto Hellas, et al.. (2023). Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. Aaltodoc (Aalto University). 931–937. 115 indexed citations breakdown →

20.

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

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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