Knowledge Engineering Review's 2026 Journal Metrics Score is 3.0, ranking Q2 in Artificial Intelligence. Two-year citation average from OpenAlex data, updated August 2026.
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Journal Metrics Score 2026 · 2021–2024 window citedness 2.10.
Not available — there are not enough recent PubMed records with both received and accepted dates.
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Each spoke is a 0–100 percentile within a comparable journal cohort—not a percentage grade or a single black-box rating.
7 of 46 works · same type, year & subfield
0 works · same type, year & subfield
Below field-year expectation
of 891 topic-associated OpenAlex sources by lifetime output
FWCI compares papers with the same publication year, type, and field. 1.0 is the world average; above 1.0 is above expectation. This journal's median is 0.53, so its typical recent paper runs about 47% below its field benchmark.
15.2% of recent papers rank in the global top 10% after field normalization. This is easier to compare across specialties than raw citation totals.
Volume is separated from citation accumulation so newer papers are not presented as weaker simply because they are newer.
OpenAlex source records · 2016–2025
46 OpenAlex works · 2021–2024
OpenAlex topics show the research communities this journal serves.
Candidates share at least one OpenAlex subfield (or field, if too few do) with this journal's main research topics, ignoring generic catch-all topics, and are ordered by topic overlap, then current Journal Metrics Score.
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| Category | Quartile |
|---|---|
| Artificial Intelligence | Q2 |
A solid Q2 journal by citation data
By citation data, Knowledge Engineering Review is a solid journal: it is Q2 in Artificial Intelligence, the second quarter of journals by score, and ranks #1,408 of 3,811 Engineering journals by Journal Metrics Score (top 37%). Knowledge Engineering Review's 2026 Journal Metrics Score is 3.0. OpenAlex lists an indicative article processing charge of $3,550 USD. OpenAlex classifies its papers in subfields including Artificial Intelligence, so check that your topic fits its scope.
Verdict from citation data only: quartile and field rank by Journal Metrics Score (OpenAlex), publisher-reported acceptance rates, and PubMed submission and acceptance dates. See how we rank journals and how to verify indexing.
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Source: the current OpenAlex source record. OpenAlex works can include multiple work types. Fully Open Access is a source-level flag. Recent OA Works is summed from OpenAlex's counts_by_year series (up to the latest ten years); it is not a lifetime OA percentage. Any APC shown here is an indicative OpenAlex value—verify current charges on the journal's official website.
OpenAlex classifies Knowledge Engineering Review's papers in subfields including Artificial Intelligence. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.
Article types, word and figure limits, reference style, and the required statements (data availability, ethics, conflicts of interest, author contributions) are set by the journal. Prepare the cover letter and files to match them.
Knowledge Engineering Review homepage ↗Use the submit link in Knowledge Engineering Review's author guidelines; Cambridge University Press runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
OpenAlex lists an indicative article processing charge of $3,550 USD. Check the current fee, waivers, and any institutional agreement on the journal website.
Knowledge Engineering Review does not publish an acceptance rate.
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See what the report coversBy citation data, Knowledge Engineering Review is a solid journal: it is Q2 in Artificial Intelligence, the second quarter of journals by score, and ranks #1,408 of 3,811 Engineering journals by Journal Metrics Score (top 37%). Knowledge Engineering Review's 2026 Journal Metrics Score is 3.0. OpenAlex lists an indicative article processing charge of $3,550 USD. OpenAlex classifies its papers in subfields including Artificial Intelligence, so check that your topic fits its scope.
Knowledge Engineering Review's 2026 Journal Metrics Score is 3.0, from the August 2026 data release. The score is a two-year citation average computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works.
We have not found an official acceptance rate published by Knowledge Engineering Review or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Knowledge Engineering Review's quartile and score with similar journals, or ask the editorial office.
Knowledge Engineering Review's best quartile is Q2. By OpenAlex subfield: Q2 in Artificial Intelligence. Quartiles rank journals by Journal Metrics Score within each subfield.
No. Journal Metrics computes the score independently from OpenAlex open data. Other providers use different citation databases, document types, and counting rules, so their published figures for Knowledge Engineering Review will not match this score exactly. Compare journals using one source at a time.
OpenAlex lists an indicative article processing charge of $3,550 USD for Knowledge Engineering Review. This journal-level estimate may exclude taxes, waivers, discounts, or article-type fees, so confirm the current charge on the journal's website.
Comparable journals include Journal of Web Semantics, Journal of Artificial Intelligence and Soft Computing Research, Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, and Kunstliche Intelligenz. Compare their scores, acceptance times, and costs in the recommended alternatives on this page before choosing where to submit.
Submit online through the link in Knowledge Engineering Review's author guidelines on the journal homepage. Before submitting, check the scope, follow the author guidelines for article type, length, and required statements, and prepare a cover letter.