ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) — papers and institutions, 2024–2026
Papers of ECML PKDD, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) (CORE rank A; field: Machine learning, 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.
ECML PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 786 of its papers from 2024–2026 (270 in 2024, 200 in 2025, 316 in 2026).
By the countries of the authors' institutions, the most papers come from China (242), Germany (120) and the United States (93).
The institutions with the most papers are Centre National de la Recherche Scientifique (53), Chinese Academy of Sciences (21) and Institut national de recherche en sciences et technologies du numérique (20).
Its most-cited paper of these years is “MedSyn: LLM-Based Synthetic Medical Text Generation Framework” (2024), with 32 citations.
Papers of the volumes titled “Machine Learning and Knowledge Discovery in Databases” (LNAI, research and applied data science tracks), found by DOI through Crossref
Scholar4AI. (2026). ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ecml-pkdd
@misc{scholar4ai-proceedings-ecml-pkdd,
author = {{Scholar4AI}},
title = {ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) — papers and institutions, 2024–2026},
year = {2026},
howpublished = {\url{https://scholar4ai.com/proceedings/ecml-pkdd}},
urldate = {2026-11-02},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).