Academic Journal
Q1ACM Transactions on Knowledge Discovery from Data
About ACM Transactions on Knowledge Discovery from Data
About ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by 2332 (United States). It focuses on Q1. Publication coverage spans 2007-2026.
Key indicators: ISSN 1556-472X, 1556-4681; H-index 83.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
- H-index (83): Strong citation impact — 83 articles cited at least 83 times each, reflecting solid influence.
Publishing in ACM Transactions on Knowledge Discovery from Data
An established venue in its field. The journal welcomes solid, well-executed research. Ensure your manuscript fits the stated scope and follows author guidelines carefully.
- Scope fit: Confirm your research aligns with Q1. Off-scope manuscripts are typically desk-rejected quickly.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of ACM Transactions on Knowledge Discovery from Data?
1556-472X, 1556-4681.
Who publishes ACM Transactions on Knowledge Discovery from Data?
2332.
What are ACM Transactions on Knowledge Discovery from Data's metrics?
H-index 83.
Is ACM Transactions on Knowledge Discovery from Data peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Source-backed journal facts
Topics in published research
Complex Network Analysis Techniques; Advanced Graph Neural Networks; Topic Modeling; Recommender Systems and Techniques; Data Management and Algorithms; Anomaly Detection Techniques and Applications.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
LLMs-Augmented Knowledge Graph for Semantic-Aware Recommendation
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2026-11-30 · DOI: 10.1145/3844138Revealing and Mitigating the Impact of LLM-Generated Content on Retrieval-Augmented Generation Systems
Yixing Peng, Yi Liu, Quan Wang, Licheng Zhang et al.
2026-11-30 · DOI: 10.1145/3837071Clustering and Mapping Values of Categorical Time Series
Romin Durand, Angela Bonifati
2026-11-30 · DOI: 10.1145/3831694DualPop: User Popularity Preference-Aware Debiasing Recommendation
Zhuoming Li, Youshen Chi, Yuliang Shi, Jihu Wang et al.
2026-11-30 · DOI: 10.1145/3833876DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting
Haonan Yang, Jianchao Tang, Zhuo Li
2026-11-30 · DOI: 10.1145/3844146A Blackbox Access to Load Forecasting Models Is All You Need to Breach Privacy
Hussein Aly, Abdulaziz Al-Ali, Abdulla Al-Ali, Emran Altamimi et al.
2026-10-08 · DOI: 10.1145/3856299Parselets: An Abstraction for Fast, General-Purpose Algorithmic Information Calculus
François Cayre
2026-10-07 · DOI: 10.1145/3844950Eval4DiRec: A Unified and Systematic Evaluation Framework for Diffusion-based Recommender Systems
Cong Wang, Shoujin Wang, Yishuo Li, Qi Zhang et al.
2026-10-06 · DOI: 10.1145/3856821GraphLLM4CTR: Large Language Model-Enhanced Graph Neural Networks for Click-through Rate Prediction in Recommender Systems
Shan Gao, Yanwu Yang
2026-10-03 · DOI: 10.1145/3848507Optimization-Driven Cluster-Weighted Clusterwise Linear Regression
Sona Taheri, Adil M. Bagirov, Nelusha Anne Perera, Nargiz Sultanova et al.
2026-09-30 · DOI: 10.1145/3850158Large Language Models Create Hallucinations in Response to Negated Text
Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
2026-09-30 · DOI: 10.1145/3849694Bias Mitigation in Federated Learning Through Feature Integration
Ziyi Zhang, Mingxuan Ouyang, Kunhao Li, Haorui Chen et al.
2026-09-30 · DOI: 10.1145/3848122Weakly-Supervised Learning with Partial Multi-Labels by Leveraging Dual Label Correlation Perspectives
Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li et al.
2026-09-30 · DOI: 10.1145/3841466GNN-LS: An Information-Enhanced Method for Label Scarcity on Graphs
Haoran Yang, Junli Wang, Rui Duan, Xin Guo et al.
2026-09-30 · DOI: 10.1145/3837756Enabling Retriever-LLM Connection Across the Semantic Gap in Retrieval-Augmented Generation
Fuda Ye, Shuangyin Li, Yongqi Zhang, Lei Chen et al.
2026-09-18 · DOI: 10.1145/3847108Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Zhiyuan Zheng, Jianpeng Qi, Jiantao Li, Guoqing Chao et al.
2026-09-30 · DOI: 10.1145/3840390Mobility Network Forecasting: A Trajectory-based Contact Prediction Approach
Amirhossein Nadiri, Jing Li, Ghadeer Abuoda, Mahdi Biparva et al.
2026-09-17 · DOI: 10.1145/3848123Discovering Underlying Pattern Clusters by Encoding Data to Transformer Tokens
Wei Xu, Huihui Shao, Zhenping Xie
2026-09-15 · DOI: 10.1145/3846179RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction
Yingguang Yang, Xianghua Zeng, Qi Wu, Hao Peng et al.
2026-09-15 · DOI: 10.1145/3847302Fair Graph Learning Needs Expressiveness: Rethinking Fairness from the Spectral Perspective
Mingqi Yang, Zhaoyu Liu
2026-09-15 · DOI: 10.1145/3848028Reviews
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Version History
October 9, 2026 at 7:45 pm
September 25, 2026