Arto Hellas

3.4k total citations · 4 hit papers
115 papers, 1.7k citations indexed

About

Arto Hellas is a scholar working on Computer Science Applications, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Arto Hellas has authored 115 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Science Applications, 37 papers in Information Systems and 29 papers in Developmental and Educational Psychology. Recurrent topics in Arto Hellas's work include Teaching and Learning Programming (73 papers), Online Learning and Analytics (60 papers) and Software Engineering Research (28 papers). Arto Hellas is often cited by papers focused on Teaching and Learning Programming (73 papers), Online Learning and Analytics (60 papers) and Software Engineering Research (28 papers). Arto Hellas collaborates with scholars based in Finland, United States and New Zealand. Arto Hellas's co-authors include Juho Leinonen, Paul Denny, Sami Sarsa, Petri Ihantola, James Prather, Andrew Petersen, Brett A. Becker, Stephen MacNeil, Brent N. Reeves and Andrew Tran and has published in prestigious journals such as Scientific Reports, Communications of the ACM and IEEE Access.

In The Last Decade

Arto Hellas

105 papers receiving 1.7k citations

Hit 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.

Using Large Language Models to Enhance Programming Error Messages

2023 128 citations Juho Leinonen, Arto Hellas et al. Aaltodoc (Aalto University) 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 →
Computing Education in the Era of Generative AI

2024 108 citations Paul Denny, James Prather et al. Communications of the ACM profile →
Comparing Code Explanations Created by Students and Large Language Models

2023 103 citations Juho Leinonen, Paul Denny 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
Arto Hellas Finland	20	1.3k	459	440	350	198	115	1.7k
Juho Leinonen Finland	21	1.4k 1.1×	660 1.4×	549 1.2×	331 0.9×	170 0.9×	118	2.1k
Andrew Petersen Canada	21	1.3k 1.1×	300 0.7×	444 1.0×	435 1.2×	256 1.3×	98	1.8k
James Prather United States	22	1.4k 1.1×	595 1.3×	620 1.4×	379 1.1×	133 0.7×	72	2.1k
‪Marcos Román-González‬ Spain	23	2.1k 1.7×	340 0.7×	411 0.9×	1.0k 2.9×	369 1.9×	55	2.5k
Irene Lee United States	14	1.3k 1.0×	228 0.5×	240 0.5×	515 1.5×	246 1.2×	38	1.6k
Benedict du Boulay United Kingdom	20	1.1k 0.9×	640 1.4×	450 1.0×	678 1.9×	233 1.2×	60	1.8k
Chris Piech United States	16	1.5k 1.2×	779 1.7×	378 0.9×	378 1.1×	418 2.1×	45	2.0k
Michelle Craig Canada	22	902 0.7×	189 0.4×	318 0.7×	358 1.0×	308 1.6×	63	1.3k
Petri Ihantola Finland	22	1.4k 1.1×	305 0.7×	524 1.2×	469 1.3×	202 1.0×	71	1.8k
Thomas Price United States	19	802 0.6×	312 0.7×	246 0.6×	429 1.2×	277 1.4×	72	1.4k

Countries citing papers authored by Arto Hellas

Since Specialization

Citations

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

Fields of papers citing papers by Arto Hellas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arto Hellas

This figure shows the co-authorship network connecting the top 25 collaborators of Arto Hellas. A scholar is included among the top collaborators of Arto Hellas 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 Arto Hellas. Arto Hellas 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

1.

Vuorimaa, Petri, et al.. (2025). Potential of Serverless Edge-powered Islands for Web Development. Journal of Web Engineering.

2.

Brusilovsky, Peter, et al.. (2025). Adaptive Learning Curve Analytics with LLM-KC Identifiers for Knowledge Component Refinement. 1–7.

3.

Sarsa, Sami, et al.. (2025). Evaluating Language Models for Generating and Judging Programming Feedback. Aaltodoc (Aalto University). 624–630. 3 indexed citations

4.

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

5.

Denny, Paul, James Prather, Brett A. Becker, et al.. (2024). Computing Education in the Era of Generative AI. Communications of the ACM. 67(2). 56–67. 108 indexed citations breakdown →

6.

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

7.

Sarsa, Sami, et al.. (2024). Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge. Jyväskylä University Digital Archive (University of Jyväskylä). 52–58. 13 indexed citations

8.

Hellas, Arto, et al.. (2024). Propagating Large Language Models Programming Feedback. Aaltodoc (Aalto University). 366–370. 2 indexed citations

9.

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

10.

Hellas, Arto, et al.. (2023). Experiences from Learnersourcing SQL Exercises: Do They Cover Course Topics and Do Students Use Them?. Aaltodoc (Aalto University). 123–131. 3 indexed citations

11.

Malmi, Lauri, Arto Hellas, & Kate Sanders. (2023). Understanding Pathways to Computing Education Research (CER). 1–2.

12.

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 →

13.

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 →

14.

Reeves, Brent N., Sami Sarsa, James Prather, et al.. (2023). Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. Aaltodoc (Aalto University). 299–305. 39 indexed citations

15.

Leinonen, Juho, et al.. (2022). Experiences With and Lessons Learned on Deadlines and Submission Behavior. Aaltodoc (Aalto University). 1–13. 5 indexed citations

16.

Leinonen, Juho, et al.. (2022). Trends From Computing Education Research Conferences: Increasing Submissions and Decreasing Acceptance Rates. 1–2. 1 indexed citations

17.

MacNeil, Stephen, Joanne Kim, Juho Leinonen, et al.. (2022). The Implications of Large Language Models for CS Teachers and Students. Open Research Online (The Open University). 1255–1255. 26 indexed citations

18.

Duran, Rodrigo, et al.. (2020). Measuring the Cognitive Load of Learning to Program: A Replication Study. Aaltodoc (Aalto University). 3–9. 10 indexed citations

19.

Hellas, Arto, et al.. (2020). Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study. Aaltodoc (Aalto University). 1–10. 7 indexed citations

20.

Hellas, Arto, et al.. (2020). Crowdsourcing in Computing Education Research: Case Amazon MTurk. Aaltodoc (Aalto University). 1–5. 8 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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