ACM Transactions on Knowledge Discovery from Data Journal Citation Rate 2026
1556-4681
eISSN 1556-472X
Association for Computing Machinery
US
Q1 Quartile Established Impact
About ACM Transactions on Knowledge Discovery from Data
ACM Transactions on Knowledge Discovery from Data (ATKDD) is a peer-reviewed academic journal covering Advanced Graph Neural Networks and Complex Network Analysis Techniques, published by Association for Computing Machinery in US, catalogued under ISSN 1556-4681 (e-ISSN 1556-472X). As of 2026, it has a 2023 2-Year Citation Rate (OpenAlex) of 4.73 (Q1 quartile) — the average number of citations its recent articles received over a two-year window, computed from OpenAlex open citation data, not the Clarivate (JCR) Impact Factor. It operates a subscription model. OpenAlex records 1,494 works and 46,642 citations, with an h-index of 88.
Authors typically receive a first decision in around 109 days.
ACM Transactions on Knowledge Discovery from Data Citation Rate 2026 — In Context
ACM Transactions on Knowledge Discovery from Data has a 2023 2-Year Citation Rate (OpenAlex) of 4.73, placing it in the Q1 quartile within the Advanced Graph Neural Networks research area. This is the average number of citations the journal's recent articles received over a two-year window, computed from OpenAlex open citation data — not the Clarivate (JCR) Journal Impact Factor.
ACM Transactions on Knowledge Discovery from Data operates a subscription-based publishing model — readers access articles through institutional subscriptions or pay-per-view. Average submission-to-decision turnaround is approximately 109 days.
Researchers looking to publish in ACM Transactions on Knowledge Discovery from Data should review the journal's submission tips and verify the latest indexing status against Scopus, DOAJ, and Web of Science using our indexing tracker. To compare ACM Transactions on Knowledge Discovery from Data against similar journals in the field, use our journal comparison tool.
Submission Tips for ACM Transactions on Knowledge Discovery …
- Be prepared for a longer review cycle — decisions typically take around 109 days.
- This journal covers Advanced Graph Neural Networks, Complex Network Analysis Techniques, Data Management and Algorithms. Ensure your manuscript aligns with these scope areas to avoid desk rejection.
How ACM Transactions on … Compares
Compared against 16 journals in the same research areas.
| ISSN (Print) | 1556-4681 |
|---|---|
| ISSN (Online) | 1556-472X |
| Publisher | Association for Computing Machinery |
| Country | United States |
| APC / Cost | Inquire with Publisher |
| Review Speed | ~109 days to first decision |
In-depth profile & metrics
ACM Transactions on Knowledge Discovery from Data is published by Association for Computing Machinery and based in United States.
In our subject taxonomy, ACM Transactions on Knowledge Discovery from Data is classified under Advanced Graph Neural Networks, Complex Network Analysis Techniques, Data Management and Algorithms and Recommender Systems and Techniques.
For prospective authors, ACM Transactions on Knowledge Discovery from Data returns a first decision in about 109 days (longer for its field).
Its most recent citation rate stands at 4.729.
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Live Indexing Status
Updated March 2026Track real-time indexing metrics to ensure this journal meets your academic requirements.
Citation Rate
Historical Trend
Initial data points onlyCitation Rate by Year
| Year | Value | Source |
|---|---|---|
| 2023 | 4.729 | 2-Year Mean Citedness (OpenAlex) |
Metrics are sourced from OpenAlex, DOAJ and Scopus and reflect the latest data we hold. The headline figure is a 2-year citation rate (OpenAlex), not a Clarivate Impact Factor. Always verify against the journal's official site before relying on it. See our Methodology or report a correction.
Journal Metrics
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Metadata
Last updated: Mar 20, 2026
Updated by: system
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