SDM: SIAM International Conference on Data Mining — papers and institutions, 2024–2026

Papers of SDM, SIAM International Conference on Data Mining (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#

SDM (SIAM International Conference on Data Mining) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 174 of its papers from 2024–2026 (103 in 2024, 71 in 2025; 2026 not in OpenAlex yet).
By the countries of the authors' institutions, the most papers come from the United States (98), China (55) and Australia (11).
The institutions with the most papers are University of Minnesota (10), Emory University (9) and Arizona State University (7).
Its most-cited paper of these years is “Disinformation Detection: An Evolving Challenge in the Age of LLMs” (2024), with 46 citations.

Papers per year#

SDM papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	103	101
2025	71	69
2026	–	–

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S4306463922	Papers of the volumes titled “Proceedings of the <year> SIAM International Conference on Data Mining (SDM)” (SIAM), found by DOI through Crossref

Who publishes there#

Institutions with the most SDM papers, 2024–2026
#	Institution	Papers
1	University of Minnesota	10
2	Emory University	9
3	Arizona State University	7
4	University of Maryland, College Park	7
5	Pennsylvania State University	6
6	City University of Hong Kong	6
7	University of Pittsburgh	6
8	Chinese Academy of Sciences	6
9	University of Chinese Academy of Sciences	6
10	Beihang University	6

Countries with the most SDM papers, 2024–2026
#	Country	Papers
1	United States	98
2	China	55
3	Australia	11
4	United Kingdom	9
5	Germany	8
6	Hong Kong	7
7	Canada	5
8	France	5
9	Japan	4
10	Poland	4

Keywords with the most SDM papers, 2024–2026
#	Keyword	Papers
1	graph neural networks	21
2	data augmentation	8
3	interpretability	7
4	domain adaptation	6
5	large language models	6
6	attention mechanism	5
7	contrastive learning	5
8	message passing	5
9	meta-learning	5
10	overfitting	5

Most-cited papers#

Most-cited SDM papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	46	Disinformation Detection: An Evolving Challenge in the Age of LLMs	2024-01-01	Bohan Jiang, Zhen Tan, Ayushi Nirmal et al.
2	28	User Migration across Multiple Social Media Platforms	2024-01-01	Ujun Jeong, Ayushi Nirmal, Kritshekhar Jha et al.
3	23	GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model	2024-01-01	Zhiyu Zhu, Huaming Chen, Xinyi Wang et al.
4	22	FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning	2024-01-01	Hongyu Zhang, Dongyi Zheng, Yang Xu et al.
5	21	Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction	2024-01-01	Kun Peng, Lei Jiang, Hao Ming Peng et al.
6	20	RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets	2024-01-01	Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude et al.
7	15	Dimensionality-Aware Outlier Detection	2024-01-01	Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello et al.
8	14	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices	2024-01-01	Ji Liu, Tianshi Che, Yang Zhou et al.
9	13	An Image Dataset for Benchmarking Recommender Systems with Raw Pixels	2024-01-01	Yu Cheng, Yunzhu Pan, Jiaqi Zhang et al.
10	13	Time-Transformer: Integrating Local and Global Features for Better Time Series Generation	2024-01-01	Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li et al.

Conferences in the same field#

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

Cite this page

Scholar4AI. (2026). SDM: SIAM International Conference on Data Mining — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/sdm

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

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