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

CAiSE: International Conference on Advanced Information Systems Engineering — papers and institutions, 2024–2026

Papers of CAiSE, International Conference on Advanced Information Systems Engineering (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. Also as Markdown.

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Key findings#

  • CAiSE (International Conference on Advanced Information Systems Engineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 117 of its papers from 2024–2026 (36 in 2024, 35 in 2025, 46 in 2026).
  • By the countries of the authors' institutions, the most papers come from Germany (40), Italy (30) and the Netherlands (22).
  • The institutions with the most papers are Free University of Bozen-Bolzano (13), RWTH Aachen University (9) and The University of Melbourne (8).
  • Its most-cited paper of these years is “Object-Centric Conformance Alignments with Synchronization” (2024), with 28 citations.

Papers per year#

CAiSE papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20243636
20253534
20264646

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S106296714Papers of the volumes titled “Advanced Information Systems Engineering” (LNCS), found by DOI through Crossref

Who publishes there#

Institutions with the most CAiSE papers, 2024–2026
#InstitutionPapers
1Free University of Bozen-Bolzano13
2RWTH Aachen University9
3The University of Melbourne8
4University of Twente8
5TU Wien7
6Technical University of Munich7
7Sapienza University of Rome7
8Utrecht University6
9Dublin City University6
10Eindhoven University of Technology6
Countries with the most CAiSE papers, 2024–2026
#CountryPapers
1Germany40
2Italy30
3Netherlands22
4Australia14
5Austria13
6Spain10
7Ireland6
8Denmark5
9Brazil4
10China4
Keywords with the most CAiSE papers, 2024–2026
#KeywordPapers
1process mining32
2event logs24
3large language models20
4process discovery11
5conformance checking9
6predictive process monitoring7
7business process mining5
8retrieval-augmented generation5
9business process modeling4
10object-centric process mining4

Most-cited papers#

Most-cited CAiSE papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
128Object-Centric Conformance Alignments with Synchronization2024-01-01Alessandro Gianola, Marco Montali, Sarah Winkler
216Identifying Citizen-Related Issues from Social Media Using LLM-Based Data Augmentation2024-01-01Vitor Gaboardi dos Santos, Guto Leoni Santos, Theo Lynn et al.
316PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances2024-01-01Keyvan Amiri Elyasi, Han van der Aa, Heiner Stuckenschmidt
414Leveraging LLMs for Domain Modeling: The Impact of Granularity and Strategy on Quality2025-01-01Iris Reinhartz-Berger, Syed Juned Ali, Dominik Bork
513Stochastic Process Discovery: Can It Be Done Optimally?2024-01-01Sander J. J. Leemans, Tian Li, Marco Montali et al.
612Stochastic Directly-Follows Process Discovery Using Grammatical Inference2024-01-01Hanan Alkhammash, Artem Polyvyanyy, Alistair Moffat
710Enhancing Predictive Process Monitoring with Time-Related Feature Engineering2024-01-01Rafael S. Oyamada, Gabriel Marques Tavares, Sylvio Barbon et al.
810HOEG: A New Approach for Object-Centric Predictive Process Monitoring2024-01-01Tim K. Smit, Hajo Alexander Reijers, Xixi Lu
98Variants of Variants: Context-Based Variant Analysis for Process Mining2024-01-01Christoffer Rubensson, Jan Mendling, Matthias Weidlich
108Multi-perspective Concept Drift Detection: Including the Actor Perspective2024-01-01Eva L. Klijn, Felix Mannhardt, Dirk Fahland

Conferences in the same field#

KDD · WWW · SIGIR · VLDB · ICDE · SIGMOD · ICDM · PODS · CIKM · ECML PKDD · RecSys · ECIR · WSDM · ICWSM · ICDAR · MSR · SIGSPATIAL · ISWC · SDM · ICDT · ER

Cite this page

Scholar4AI. (2026). CAiSE: International Conference on Advanced Information Systems Engineering — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/caise

@misc{scholar4ai-proceedings-caise,
  author = {{Scholar4AI}},
  title = {CAiSE: International Conference on Advanced Information Systems Engineering — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/caise}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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