---
title: "ECIR (A): papers and universities"
description: "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)."
url: https://scholar4ai.com/proceedings/ecir
markdown_url: https://scholar4ai.com/proceedings/ecir.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (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)
---

# 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.

All conferences: https://scholar4ai.com/proceedings.md

## 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)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 210 | 205 |
| 2025 | 207 | 199 |
| 2026 | 209 | 202 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S106296714](https://openalex.org/S106296714) | Papers 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*

| # | Institution | Papers |
|---:|---|---:|
| 1 | University of Amsterdam | 58 |
| 2 | University of Glasgow | 55 |
| 3 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 30 |
| 4 | Center for Scalable Data Analytics and Artificial Intelligence | 29 |
| 5 | Friedrich Schiller University Jena | 24 |
| 6 | University of Padua | 23 |
| 7 | University of Waterloo | 23 |
| 8 | The University of Queensland | 22 |
| 9 | Johns Hopkins University | 21 |
| 10 | University of Kassel | 20 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 122 |
| 2 | United States | 107 |
| 3 | Netherlands | 106 |
| 4 | United Kingdom | 96 |
| 5 | Italy | 91 |
| 6 | France | 51 |
| 7 | Canada | 41 |
| 8 | Spain | 39 |
| 9 | Australia | 38 |
| 10 | India | 37 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 163 |
| 2 | retrieval-augmented generation | 57 |
| 3 | information retrieval | 46 |
| 4 | recommender systems | 38 |
| 5 | dense retrieval | 25 |
| 6 | re-ranking | 23 |
| 7 | reproducibility | 19 |
| 8 | MS MARCO | 17 |
| 9 | conversational search | 16 |
| 10 | prompt engineering | 15 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 327 | [Large Language Models are Zero-Shot Rankers for Recommender Systems](https://doi.org/10.1007/978-3-031-56060-6_24) | 2024-01-01 | Yupeng Hou, Junjie Zhang, Zihan Lin et al. |
| 2 | 62 | [GenRec: Large Language Model for Generative Recommendation](https://doi.org/10.1007/978-3-031-56063-7_42) | 2024-01-01 | Jianchao Ji, Zelong Li, Shuyuan Xu et al. |
| 3 | 39 | [Benchmarking Prompt Sensitivity in Large Language Models](https://doi.org/10.1007/978-3-031-88714-7_29) | 2025-01-01 | Amirhossein Razavi, Mina Soltangheis, Negar Arabzadeh et al. |
| 4 | 27 | [Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal Cues](https://doi.org/10.1007/978-3-031-56027-9_12) | 2024-01-01 | David Gimeno-Gómez, Ana-Maria Bucur, Adrian Cosma et al. |
| 5 | 26 | [Zero-Shot Generative Large Language Models for Systematic Review Screening Automation](https://doi.org/10.1007/978-3-031-56027-9_25) | 2024-01-01 | Shuai Wang, Harrisen Scells, Shengyao Zhuang et al. |
| 6 | 22 | [Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines](https://doi.org/10.1007/978-3-031-56063-7_4) | 2024-01-01 | Janek Bevendorff, Matti Wiegmann, Martin Potthast et al. |
| 7 | 20 | [Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems](https://doi.org/10.1007/978-3-031-88717-8_18) | 2025-01-01 | Fatemeh Nazary, Yashar Deldjoo, Tommaso Di Noia |
| 8 | 19 | [CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs](https://doi.org/10.1007/978-3-031-56060-6_6) | 2024-01-01 | Yanran Tang, Ruihong Qiu, Yilun Liu et al. |
| 9 | 18 | [A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT](https://doi.org/10.1007/978-3-031-56063-7_18) | 2024-01-01 | Subhankar Maity, Aniket Deroy, Sudeshna Sarkar |
| 10 | 18 | [Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification](https://doi.org/10.1007/978-3-031-56072-9_1) | 2024-01-01 | Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi et al. |

## 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).