---
title: "ER (A): papers and universities"
description: "ER (International Conference on Conceptual Modelling) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 74 of its papers from 2024–2026 (22 in 2024, 19 in 2025, 33 in 2026). By the countries of the authors' institutions, the most papers come from Germany (26), the Netherlands (12) and Austria (8)."
url: https://scholar4ai.com/proceedings/er
markdown_url: https://scholar4ai.com/proceedings/er.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ER (International Conference on Conceptual Modelling) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 74 of its papers from 2024–2026 (22 in 2024, 19 in 2025, 33 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)
---

# ER: International Conference on Conceptual Modelling — papers and institutions, 2024–2026

Papers of ER, International Conference on Conceptual Modelling (CORE rank A; field: Data management and data science), 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

- ER (International Conference on Conceptual Modelling) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 74 of its papers from 2024–2026 (22 in 2024, 19 in 2025, 33 in 2026).
- By the countries of the authors' institutions, the most papers come from Germany (26), the Netherlands (12) and Austria (8).
- The institutions with the most papers are University of Twente (9), Technical University of Munich (6) and TU Wien (5).
- Its most-cited paper of these years is “A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models” (2024), with 32 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 22 | 22 |
| 2025 | 19 | 19 |
| 2026 | 33 | 33 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S106296714](https://openalex.org/S106296714) | Papers of the volumes titled “Conceptual Modeling” (LNCS), found by DOI through Crossref |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Twente | 9 |
| 2 | Technical University of Munich | 6 |
| 3 | TU Wien | 5 |
| 4 | Universitat Politècnica de València | 5 |
| 5 | Indraprastha Institute of Information Technology Delhi | 4 |
| 6 | York University | 4 |
| 7 | Hasso Plattner Institute | 3 |
| 8 | Free University of Bozen-Bolzano | 3 |
| 9 | University of Potsdam | 3 |
| 10 | [University of Toronto](https://scholar4ai.com/institutions/university-of-toronto.md) | 3 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 26 |
| 2 | Netherlands | 12 |
| 3 | Austria | 8 |
| 4 | Brazil | 7 |
| 5 | Spain | 7 |
| 6 | Canada | 6 |
| 7 | France | 5 |
| 8 | India | 5 |
| 9 | Italy | 5 |
| 10 | United States | 5 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 17 |
| 2 | conceptual modeling | 9 |
| 3 | process mining | 7 |
| 4 | Unified Foundational Ontology | 6 |
| 5 | domain modeling | 5 |
| 6 | OntoUML | 4 |
| 7 | conceptual model | 4 |
| 8 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 3 |
| 9 | knowledge graphs | 3 |
| 10 | model-driven engineering | 3 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 32 | [A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models](https://doi.org/10.1007/978-3-031-75872-0_3) | 2024-10-21 | Julian Neuberger, Lars Ackermann, Han van der Aa et al. |
| 2 | 23 | [Application of the Tree-of-Thoughts Framework to LLM-Enabled Domain Modeling](https://doi.org/10.1007/978-3-031-75872-0_6) | 2024-10-21 | Jonathan Silva Mercado, Qin Ma, Jordi Cabot et al. |
| 3 | 18 | [Establishing Traceability Between Natural Language Requirements and Software Artifacts by Combining RAG and LLMs](https://doi.org/10.1007/978-3-031-75872-0_16) | 2024-10-21 | Syed Juned Ali, Varun Naganathan, Dominik Bork |
| 4 | 13 | [Enhancing Domain Modeling with Pre-trained Large Language Models: An Automated Assistant for Domain Modelers](https://doi.org/10.1007/978-3-031-75872-0_13) | 2024-10-21 | Dominik Prokop, Štěpán Stenchlák, Petr Škoda et al. |
| 5 | 13 | [How are LLMs Used for Conceptual Modeling? An Exploratory Study on Interaction Behavior and User Perception](https://doi.org/10.1007/978-3-031-75872-0_14) | 2024-10-21 | Syed Juned Ali, Iris Reinhartz-Berger, Dominik Bork |
| 6 | 6 | [To Bind or Not to Bind? Discovering Stable Relationships in Object-Centric Processes](https://doi.org/10.1007/978-3-032-08623-5_12) | 2025-10-18 | Anjo Seidel, Sarah Winkler, Alessandro Gianola et al. |
| 7 | 6 | [Agent System Event Data: Concepts, Dimensions, Applications](https://doi.org/10.1007/978-3-031-75872-0_4) | 2024-10-21 | Qingtan Shen, Artem Polyvyanyy, Nir Lipovetzky et al. |
| 8 | 5 | [Small, Medium, and Large Language Models for Text-to-SQL](https://doi.org/10.1007/978-3-031-75872-0_15) | 2024-10-21 | Aiko R. de Oliveira, Eduardo Nascimento, João Pinheiro et al. |
| 9 | 5 | [An Analysis of the Semantic Foundation of KerML and SysML v2](https://doi.org/10.1007/978-3-031-75872-0_8) | 2024-10-21 | João Paulo A. Almeida, Luís Ferreira Pires, Giancarlo Guizzardi et al. |
| 10 | 4 | [Modeling and Reasoning About Explanation Requirements Using Goal Models](https://doi.org/10.1007/978-3-031-75872-0_12) | 2024-10-21 | Sotirios Liaskos, John Mylopoulos, Alexander T. Borgida et al. |

## Cite this page

Scholar4AI. (2026). ER: International Conference on Conceptual Modelling — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/er

```bibtex
@misc{scholar4ai-proceedings-er,
  author = {{Scholar4AI}},
  title = {ER: International Conference on Conceptual Modelling — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/er}},
  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/).