---
title: "MODELS (A): papers and universities"
description: "MODELS (International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 457 of its papers from 2024–2026 (182 in 2024, 34 in 2025, 241 in 2026). By the countries of the authors' institutions, the most papers come from Germany (126), Canada (62) and France (60)."
url: https://scholar4ai.com/proceedings/models
markdown_url: https://scholar4ai.com/proceedings/models.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "MODELS (International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 457 of its papers from… (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)
---

# MODELS: International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005) — papers and institutions, 2024–2026

Papers of MODELS, International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005) (CORE rank A; field: Software engineering), 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

- MODELS (International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 457 of its papers from 2024–2026 (182 in 2024, 34 in 2025, 241 in 2026).
- By the countries of the authors' institutions, the most papers come from Germany (126), Canada (62) and France (60).
- The institutions with the most papers are Karlsruhe Institute of Technology (29), Centre National de la Recherche Scientifique (22) and McMaster University (18).
- Its most-cited paper of these years is “Multi-step Iterative Automated Domain Modeling with Large Language Models” (2024), with 26 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 182 | 178 |
| 2025 | 34 | 27 |
| 2026 | 241 | 235 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407088064](https://openalex.org/S7407088064) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | Karlsruhe Institute of Technology | 29 |
| 2 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 22 |
| 3 | [McMaster University](https://scholar4ai.com/institutions/mcmaster-university.md) | 18 |
| 4 | Johannes Kepler University of Linz | 17 |
| 5 | Mälardalen University | 17 |
| 6 | McGill University | 16 |
| 7 | IMT Atlantique | 15 |
| 8 | RWTH Aachen University | 15 |
| 9 | University of Stuttgart | 14 |
| 10 | [University of York](https://scholar4ai.com/institutions/university-of-york.md) | 14 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 126 |
| 2 | Canada | 62 |
| 3 | France | 60 |
| 4 | Spain | 43 |
| 5 | Austria | 35 |
| 6 | United Kingdom | 34 |
| 7 | Italy | 32 |
| 8 | Sweden | 32 |
| 9 | United States | 22 |
| 10 | Belgium | 15 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | model-driven engineering | 145 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 80 |
| 3 | digital twin | 59 |
| 4 | domain-specific languages | 32 |
| 5 | model transformation | 30 |
| 6 | cyber-physical systems | 28 |
| 7 | model-based systems engineering | 20 |
| 8 | model consistency | 19 |
| 9 | meta-model | 17 |
| 10 | model-based engineering | 15 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 26 | [Multi-step Iterative Automated Domain Modeling with Large Language Models](https://doi.org/10.1145/3652620.3687807) | 2024-09-22 | Yujing Yang, Boqi Chen, Kua Chen et al. |
| 2 | 25 | [Manufacturing Digital Twin Standards](https://doi.org/10.1145/3652620.3688250) | 2024-09-22 | Guodong Shao |
| 3 | 21 | [AI-Driven Consistency of SysML Diagrams](https://doi.org/10.1145/3640310.3674079) | 2024-09-22 | Bastien Sultan, Ludovic Apvrille |
| 4 | 20 | [Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach](https://doi.org/10.1145/3640310.3674081) | 2024-09-22 | Munima Jahan, Mohammad Mahdi Hassan, R. M. Hashemi Golpayegani et al. |
| 5 | 18 | [Digital Twin Evolution for Sustainable Smart Ecosystems](https://doi.org/10.1145/3652620.3688343) | 2024-09-22 | Judith Michael, István Dávid, Dominik Bork |
| 6 | 18 | [Turning Low-Code Development Platforms into True No-Code with LLMs](https://doi.org/10.1145/3652620.3688334) | 2024-09-22 | Nathan Hagel, Nicolas Hili, Didier Schwab |
| 7 | 17 | [A DSL for Testing LLMs for Fairness and Bias](https://doi.org/10.1145/3640310.3674093) | 2024-09-22 | Sergio Morales, Robert Clarisó, Jordi Cabot |
| 8 | 16 | [Using Grammar Masking to Ensure Syntactic Validity in LLM-based Modeling Tasks](https://doi.org/10.1145/3652620.3687805) | 2024-09-22 | Lukas Netz, Jan Reimer, Bernhard Rumpe⋆ |
| 9 | 16 | [DSL-Xpert: LLM-driven Generic DSL Code Generation](https://doi.org/10.1145/3652620.3687782) | 2024-09-22 | Victor Lamas, Miguel R. Luaces, Daniel Garcia-Gonzalez |
| 10 | 15 | [Using LLMs for Use Case Modelling of IoT Systems: An Experience Report](https://doi.org/10.1145/3652620.3687810) | 2024-09-22 | Mirza Rehenuma Tabassum, Matthew J. Ritchie, Sadaf Mustafiz et al. |

## Cite this page

Scholar4AI. (2026). MODELS: International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/models

```bibtex
@misc{scholar4ai-proceedings-models,
  author = {{Scholar4AI}},
  title = {MODELS: International Conference on Model Driven Engineering Languages and Systems (Previously UML, changed in 2005) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/models}},
  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/).