Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

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. Also as Markdown.

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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)
YearPapersWith affiliations
2024182178
20253427
2026241235

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407088064The conference's proceedings

Who publishes there#

Institutions with the most MODELS papers, 2024–2026
#InstitutionPapers
1Karlsruhe Institute of Technology29
2Centre National de la Recherche Scientifique22
3McMaster University18
4Johannes Kepler University of Linz17
5Mälardalen University17
6McGill University16
7IMT Atlantique15
8RWTH Aachen University15
9University of Stuttgart14
10University of York14
Countries with the most MODELS papers, 2024–2026
#CountryPapers
1Germany126
2Canada62
3France60
4Spain43
5Austria35
6United Kingdom34
7Italy32
8Sweden32
9United States22
10Belgium15
Keywords with the most MODELS papers, 2024–2026
#KeywordPapers
1model-driven engineering145
2large language models80
3digital twin59
4domain-specific languages32
5model transformation30
6cyber-physical systems28
7model-based systems engineering20
8model consistency19
9meta-model17
10model-based engineering15

Most-cited papers#

Most-cited MODELS papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
126Multi-step Iterative Automated Domain Modeling with Large Language Models2024-09-22Yujing Yang, Boqi Chen, Kua Chen et al.
225Manufacturing Digital Twin Standards2024-09-22Guodong Shao
321AI-Driven Consistency of SysML Diagrams2024-09-22Bastien Sultan, Ludovic Apvrille
420Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach2024-09-22Munima Jahan, Mohammad Mahdi Hassan, R. M. Hashemi Golpayegani et al.
518Digital Twin Evolution for Sustainable Smart Ecosystems2024-09-22Judith Michael, István Dávid, Dominik Bork
618Turning Low-Code Development Platforms into True No-Code with LLMs2024-09-22Nathan Hagel, Nicolas Hili, Didier Schwab
717A DSL for Testing LLMs for Fairness and Bias2024-09-22Sergio Morales, Robert Clarisó, Jordi Cabot
816Using Grammar Masking to Ensure Syntactic Validity in LLM-based Modeling Tasks2024-09-22Lukas Netz, Jan Reimer, Bernhard Rumpe⋆
916DSL-Xpert: LLM-driven Generic DSL Code Generation2024-09-22Victor Lamas, Miguel R. Luaces, Daniel Garcia-Gonzalez
1015Using LLMs for Use Case Modelling of IoT Systems: An Experience Report2024-09-22Mirza Rehenuma Tabassum, Matthew J. Ritchie, Sadaf Mustafiz et al.

Conferences in the same field#

ICSE · ASE · ASPLOS · FSE · ISCA · PLDI · POPL · CAV · SIGMETRICS · DATE · OOPSLA · ISSTA · MSR · SANER · ICST · EASE · RE · ICSME · TACAS · ICPC · CGO · ESEM · ISSRE · BPM · ICFP · ICSA · IJCAR · SEAMS · ECOOP

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

@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}
}

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