---
title: "ICER (A): papers and universities"
description: "ICER (International Computing Education Research Workshop) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 193 of its papers from 2024–2026 (58 in 2024, 71 in 2025, 64 in 2026). By the countries of the authors' institutions, the most papers come from the United States (130), Finland (13) and Germany (12)."
url: https://scholar4ai.com/proceedings/icer
markdown_url: https://scholar4ai.com/proceedings/icer.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ICER (International Computing Education Research Workshop) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 193 of its papers from 2024–2026 (58 in 2024, 71 in 2025, 64 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# ICER: International Computing Education Research Workshop — papers and institutions, 2024–2026

Papers of ICER, International Computing Education Research Workshop (CORE rank A; field: Human-centred computing), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- ICER (International Computing Education Research Workshop) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 193 of its papers from 2024–2026 (58 in 2024, 71 in 2025, 64 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (130), Finland (13) and Germany (12).
- The institutions with the most papers are University of Washington (16), University of Illinois Urbana-Champaign (15) and Aalto University (10).
- Its most-cited paper of these years is “The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers” (2024), with 196 citations.

## Papers per year

*ICER papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 58 | 57 |
| 2025 | 71 | 70 |
| 2026 | 64 | 64 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407085948](https://openalex.org/S7407085948) | The conference's proceedings |

## Who publishes there

*Institutions with the most ICER papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Washington | 16 |
| 2 | University of Illinois Urbana-Champaign | 15 |
| 3 | Aalto University | 10 |
| 4 | Northwestern University | 9 |
| 5 | Georgia Institute of Technology | 8 |
| 6 | North Carolina State University | 7 |
| 7 | University of California San Diego | 7 |
| 8 | Abilene Christian University | 7 |
| 9 | Virginia Tech | 7 |
| 10 | University of Michigan | 6 |

*Countries with the most ICER papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 130 |
| 2 | Finland | 13 |
| 3 | Germany | 12 |
| 4 | India | 11 |
| 5 | Canada | 9 |
| 6 | United Kingdom | 9 |
| 7 | Switzerland | 7 |
| 8 | New Zealand | 6 |
| 9 | Sweden | 4 |
| 10 | Australia | 3 |

*Keywords with the most ICER papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | computer science education | 35 |
| 2 | programming education | 34 |
| 3 | computing education | 23 |
| 4 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 21 |
| 5 | [generative AI](https://scholar4ai.com/keywords/generative-ai.md) | 17 |
| 6 | novice programmers | 15 |
| 7 | artificial intelligence in education | 13 |
| 8 | self-efficacy | 12 |
| 9 | student engagement | 12 |
| 10 | CS1 | 10 |

## Most-cited papers

*Most-cited ICER papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 196 | [The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers](https://doi.org/10.1145/3632620.3671116) | 2024-08-06 | James E. Prather, Brent N. Reeves, Juho Leinonen et al. |
| 2 | 73 | [AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review](https://doi.org/10.1145/3702652.3744217) | 2025-07-31 | Xingjian Gu, Barbara Jane Ericson |
| 3 | 53 | [Evaluating Contextually Personalized Programming Exercises Created with Generative AI](https://doi.org/10.1145/3632620.3671103) | 2024-08-06 | Evanfiya Logacheva, Arto Hellas, James E. Prather et al. |
| 4 | 37 | [Debugging with an AI Tutor: Investigating Novice Help-seeking Behaviors and Perceived Learning](https://doi.org/10.1145/3632620.3671092) | 2024-08-06 | Stephanie Yang, Hanzhang Zhao, Yudian Xu et al. |
| 5 | 35 | [Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course](https://doi.org/10.1145/3632620.3671098) | 2024-08-06 | Aadarsh Padiyath, Xinying Hou, Amy Pang et al. |
| 6 | 30 | [Rubric Is All You Need: Improving LLM-Based Code Evaluation With Question-Specific Rubrics](https://doi.org/10.1145/3702652.3744220) | 2025-07-31 | Aditya Pathak, Rachit Gandhi, V. Gowthami Uttam et al. |
| 7 | 28 | [The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Coding Tasks](https://doi.org/10.1145/3702652.3744219) | 2025-07-31 | Md Istiak Hossain Shihab, Christopher David Hundhausen, Ahsun Tariq et al. |
| 8 | 17 | [Using Benchmarking Infrastructure to Evaluate LLM Performance on CS Concept Inventories: Challenges, Opportunities, and Critiques](https://doi.org/10.1145/3632620.3671097) | 2024-08-06 | Murtaza Ali, P. V. Rao, Yifan Mai et al. |
| 9 | 14 | [Evaluating How Novices Utilize Debuggers and Code Execution to Understand Code](https://doi.org/10.1145/3632620.3671126) | 2024-08-06 | Mohammed Rakibul Hassan, Grace Zeng, Craig B. Zilles |
| 10 | 12 | [An Investigation of the Drivers of Novice Programmers' Intentions to Use Web Search and GenAI](https://doi.org/10.1145/3632620.3671112) | 2024-08-06 | James Skripchuk, John Thomas Bacher, Thomas Price |

## Cite this page

Scholar4AI. (2026). ICER: International Computing Education Research Workshop — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/icer

```bibtex
@misc{scholar4ai-proceedings-icer,
  author = {{Scholar4AI}},
  title = {ICER: International Computing Education Research Workshop — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/icer}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).