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

ECIR: European Conference on Information Retrieval — papers and institutions, 2024–2026

Papers of ECIR, European Conference on Information Retrieval (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#

  • ECIR (European Conference on Information Retrieval) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 626 of its papers from 2024–2026 (210 in 2024, 207 in 2025, 209 in 2026).
  • By the countries of the authors' institutions, the most papers come from Germany (122), the United States (107) and the Netherlands (106).
  • The institutions with the most papers are University of Amsterdam (58), University of Glasgow (55) and Centre National de la Recherche Scientifique (30).
  • Its most-cited paper of these years is “Large Language Models are Zero-Shot Rankers for Recommender Systems” (2024), with 327 citations.

Papers per year#

ECIR papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
2024210205
2025207199
2026209202

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S106296714Papers of the volumes titled “Advances in Information Retrieval” (LNCS), found by DOI through Crossref

Who publishes there#

Institutions with the most ECIR papers, 2024–2026
#InstitutionPapers
1University of Amsterdam58
2University of Glasgow55
3Centre National de la Recherche Scientifique30
4Center for Scalable Data Analytics and Artificial Intelligence29
5Friedrich Schiller University Jena24
6University of Padua23
7University of Waterloo23
8The University of Queensland22
9Johns Hopkins University21
10University of Kassel20
Countries with the most ECIR papers, 2024–2026
#CountryPapers
1Germany122
2United States107
3Netherlands106
4United Kingdom96
5Italy91
6France51
7Canada41
8Spain39
9Australia38
10India37
Keywords with the most ECIR papers, 2024–2026
#KeywordPapers
1large language models163
2retrieval-augmented generation57
3information retrieval46
4recommender systems38
5dense retrieval25
6re-ranking23
7reproducibility19
8MS MARCO17
9conversational search16
10prompt engineering15

Most-cited papers#

Most-cited ECIR papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1327Large Language Models are Zero-Shot Rankers for Recommender Systems2024-01-01Yupeng Hou, Junjie Zhang, Zihan Lin et al.
262GenRec: Large Language Model for Generative Recommendation2024-01-01Jianchao Ji, Zelong Li, Shuyuan Xu et al.
339Benchmarking Prompt Sensitivity in Large Language Models2025-01-01Amirhossein Razavi, Mina Soltangheis, Negar Arabzadeh et al.
427Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal Cues2024-01-01David Gimeno-Gómez, Ana-Maria Bucur, Adrian Cosma et al.
526Zero-Shot Generative Large Language Models for Systematic Review Screening Automation2024-01-01Shuai Wang, Harrisen Scells, Shengyao Zhuang et al.
622Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines2024-01-01Janek Bevendorff, Matti Wiegmann, Martin Potthast et al.
720Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems2025-01-01Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia
819CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs2024-01-01Yanran Tang, Ruihong Qiu, Yilun Liu et al.
918A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT2024-01-01Subhankar Maity, Aniket Deroy, Sudeshna Sarkar
1018Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification2024-01-01Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi et al.

Conferences in the same field#

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

Cite this page

Scholar4AI. (2026). ECIR: European Conference on Information Retrieval — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ecir

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

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