---
title: "Top Information Systems conferences (CORE A*/A) 2024–2026"
description: "25 conferences rated A* or A by the CORE ICORE2026 ranking are listed for Information Systems; OpenAlex lists 17,728 papers from 2024–2026 for the 23 it can tell apart. The largest are KDD (2,961), WWW (2,725) and SIGIR (1,614)."
url: https://scholar4ai.com/proceedings/categories/information-systems
markdown_url: https://scholar4ai.com/proceedings/categories/information-systems.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "25 conferences rated A* or A by the CORE ICORE2026 ranking are listed for Information Systems; OpenAlex lists 17,728 papers from 2024–2026 for the 23 it can tell apart. (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)
---

# Information Systems conference proceedings: CORE A* and A conferences, 2024–2026

The conferences rated A* or A by the CORE Conference Rankings (ICORE2026) that relate to information systems: the conferences CORE files under data management and data science and information systems, plus BPM, CAiSE and ICWSM. A conference can be listed under several categories. 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 · Information Systems journals dashboard: https://scholar4ai.com/categories/information-systems.md

## Key findings

- 25 conferences rated A* or A by the CORE ICORE2026 ranking are listed for Information Systems; OpenAlex lists 17,728 papers from 2024–2026 for the 23 it can tell apart.
- The largest are KDD (2,961), WWW (2,725) and SIGIR (1,614).
- The most-cited paper is “A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models” (KDD, 2024), with 829 citations.

## Conferences

*CORE A* and A conferences for Information Systems: papers per publication year, 2024–2026 (–: not in OpenAlex yet)*

| Conference | Name | Rank | Field | 2024 | 2025 | 2026 | 2024–2026 |
|---|---|---|---|---:|---:|---:|---:|
| [KDD](https://scholar4ai.com/proceedings/kdd.md) | ACM International Conference on Knowledge Discovery and Data Mining | A* | Data management and data science, Machine learning | 642 | 844 | 1,475 | 2,961 |
| [WWW](https://scholar4ai.com/proceedings/www.md) | International World Wide Web Conference | A* | Distributed computing and systems software, Data management and data science | 786 | 979 | 960 | 2,725 |
| [SIGIR](https://scholar4ai.com/proceedings/sigir.md) | ACM International Conference on Research and Development in Information Retrieval | A* | Data management and data science | 389 | 540 | 685 | 1,614 |
| [VLDB](https://scholar4ai.com/proceedings/vldb.md) | International Conference on Very Large Databases | A* | Data management and data science | 447 | 442 | 385 | 1,274 |
| [ICDE](https://scholar4ai.com/proceedings/icde.md) | International Conference on Data Engineering | A* | Data management and data science | 509 | 406 | 356 | 1,271 |
| [SIGMOD](https://scholar4ai.com/proceedings/sigmod.md) | ACM Special Interest Group on Management of Data Conference | A* | Data management and data science | 212 | 333 | 269 | 814 |
| [ICDM](https://scholar4ai.com/proceedings/icdm.md) | IEEE International Conference on Data Mining | A* | Data management and data science, Machine learning | 123 | 187 | – | 310 |
| [PODS](https://scholar4ai.com/proceedings/pods.md) | ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems | A* | Data management and data science | 40 | 31 | 30 | 101 |
| [CIKM](https://scholar4ai.com/proceedings/cikm.md) | ACM International Conference on Information and Knowledge Management | A | Data management and data science, Artificial intelligence | 697 | 852 | – | 1,549 |
| [ECML PKDD](https://scholar4ai.com/proceedings/ecml-pkdd.md) | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) | A | Machine learning, Data management and data science | 270 | 200 | 316 | 786 |
| [RecSys](https://scholar4ai.com/proceedings/recsys.md) | ACM International Conference on Recommender Systems | A | Data management and data science | 217 | 239 | 284 | 740 |
| [ECIR](https://scholar4ai.com/proceedings/ecir.md) | European Conference on Information Retrieval | A | Data management and data science | 210 | 207 | 209 | 626 |
| [WSDM](https://scholar4ai.com/proceedings/wsdm.md) | ACM International Conference on Web Search and Data Mining | A | Data management and data science, Machine learning | 175 | 150 | 216 | 541 |
| [ICWSM](https://scholar4ai.com/proceedings/icwsm.md) | International Conference on Web and Social Media | A | Applied computing, Data management and data science | 162 | 170 | 186 | 518 |
| [ICDAR](https://scholar4ai.com/proceedings/icdar.md) | IEEE International Conference on Document Analysis and Recognition | A | Data management and data science | 154 | 149 | 149 | 452 |
| [MSR](https://scholar4ai.com/proceedings/msr.md) | IEEE International Working Conference on Mining Software Repositories | A | Software engineering, Data management and data science | 98 | 127 | 145 | 370 |
| [SIGSPATIAL](https://scholar4ai.com/proceedings/sigspatial.md) | ACM International Conference on Advances in Geographic Information Systems | A | Applied computing, Machine learning, Data management and data science | 112 | 193 | – | 305 |
| [ISWC](https://scholar4ai.com/proceedings/iswc.md) | International Semantic Web Conference | A | Data management and data science | 44 | 62 | 97 | 203 |
| [SDM](https://scholar4ai.com/proceedings/sdm.md) | SIAM International Conference on Data Mining | A | Data management and data science | 103 | 71 | – | 174 |
| [BPM](https://scholar4ai.com/proceedings/bpm.md) | International Conference in Business Process Management | A | Software engineering | 38 | 40 | 46 | 124 |
| [CAiSE](https://scholar4ai.com/proceedings/caise.md) | International Conference on Advanced Information Systems Engineering | A | Data management and data science | 36 | 35 | 46 | 117 |
| [ICDT](https://scholar4ai.com/proceedings/icdt.md) | International Conference on Database Theory | A | Data management and data science | 18 | 33 | 28 | 79 |
| [ER](https://scholar4ai.com/proceedings/er.md) | International Conference on Conceptual Modelling | A | Data management and data science | 22 | 19 | 33 | 74 |

## Most-cited papers

*Most-cited papers of these conferences, 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Conference | Published |
|---:|---:|---|---|---|
| 1 | 829 | [A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models](https://doi.org/10.1145/3637528.3671470) | KDD | 2024-08-24 |
| 2 | 516 | [C-Pack: Packed Resources For General Chinese Embeddings](https://doi.org/10.1145/3626772.3657878) | SIGIR | 2024-07-10 |
| 3 | 343 | [Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation](https://doi.org/10.14778/3641204.3641221) | VLDB | 2024-01-01 |
| 4 | 327 | [Large Language Models are Zero-Shot Rankers for Recommender Systems](https://doi.org/10.1007/978-3-031-56060-6_24) | ECIR | 2024-01-01 |
| 5 | 284 | [LLMRec: Large Language Models with Graph Augmentation for Recommendation](https://doi.org/10.1145/3616855.3635853) | WSDM | 2024-03-04 |
| 6 | 244 | [Representation Learning with Large Language Models for Recommendation](https://doi.org/10.1145/3589334.3645458) | WWW | 2024-05-08 |
| 7 | 242 | [Foundation Models for Time Series Analysis: A Tutorial and Survey](https://doi.org/10.1145/3637528.3671451) | KDD | 2024-08-24 |
| 8 | 237 | [The Power of Noise: Redefining Retrieval for RAG Systems](https://doi.org/10.1145/3626772.3657834) | SIGIR | 2024-07-10 |
| 9 | 207 | [GraphGPT: Graph Instruction Tuning for Large Language Models](https://doi.org/10.1145/3626772.3657775) | SIGIR | 2024-07-10 |
| 10 | 190 | [UrbanGPT: Spatio-Temporal Large Language Models](https://doi.org/10.1145/3637528.3671578) | KDD | 2024-08-24 |

## Not counted

*Conferences for Information Systems that OpenAlex does not tell apart*

| Conference | Name | Rank | Why not counted |
|---|---|---|---|
| CIDR | Conference on Innovative Data Systems Research | A | Published on the conference's own website; OpenAlex has no source for it |
| FAST | Conference on File and Storage Technologies | A | USENIX papers have no DOIs, and OpenAlex has no source with this conference's recent papers |

## Cite this page

Scholar4AI. (2026). Information Systems conference proceedings: CORE A* and A conferences, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/categories/information-systems

```bibtex
@misc{scholar4ai-proceedings-categories-information-systems,
  author = {{Scholar4AI}},
  title = {Information Systems conference proceedings: CORE A* and A conferences, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/categories/information-systems}},
  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/).
