Applied Ontology's 2026 Journal Metrics Score is 2.2, ranking Q2 in Artificial Intelligence and 1 other subfield. Two-year citation average from OpenAlex data, updated August 2026.
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Journal Metrics Score 2026 · 2021–2024 window citedness 2.86.
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.
12 of 65 works · same type, year & subfield
0 works · same type, year & subfield
Below field-year expectation
of 2,491 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 0.48, so its typical recent paper runs about 52% below its field benchmark.
18.5% 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
65 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 |
| Molecular Biology | Q3 |
| Information Systems | Q2 |
A solid Q2 journal by citation data
By citation data, Applied Ontology is a solid journal: it is Q2 in Artificial Intelligence and 1 other subfield, the second quarter of journals by score, and ranks #804 of 2,118 Computer Science journals by Journal Metrics Score (top 38%). Applied Ontology's 2026 Journal Metrics Score is 2.2. OpenAlex lists an indicative article processing charge of $4,150 USD. OpenAlex classifies its papers in subfields including Artificial Intelligence, Molecular Biology, and Information Systems, 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.
Confirm the exact title and ISSNs against the publisher homepage before a high-stakes submission decision.
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 Applied Ontology's papers in subfields including Artificial Intelligence, Molecular Biology, and Information Systems. 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.
Use the submit link in Applied Ontology's author guidelines; IOS 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 $4,150 USD. Check the current fee, waivers, and any institutional agreement on the journal website.
Applied Ontology does not publish an acceptance rate.
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See what the report coversBy citation data, Applied Ontology is a solid journal: it is Q2 in Artificial Intelligence and 1 other subfield, the second quarter of journals by score, and ranks #804 of 2,118 Computer Science journals by Journal Metrics Score (top 38%). Applied Ontology's 2026 Journal Metrics Score is 2.2. OpenAlex lists an indicative article processing charge of $4,150 USD. OpenAlex classifies its papers in subfields including Artificial Intelligence, Molecular Biology, and Information Systems, so check that your topic fits its scope.
Applied Ontology's 2026 Journal Metrics Score is 2.2, 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 Applied Ontology or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Applied Ontology's quartile and score with similar journals, or ask the editorial office.
Applied Ontology's best quartile is Q2. By OpenAlex subfield: Q2 in Artificial Intelligence; Q3 in Molecular Biology; Q2 in Information Systems. 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 Applied Ontology will not match this score exactly. Compare journals using one source at a time.
OpenAlex lists an indicative article processing charge of $4,150 USD for Applied Ontology. 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 Semantic Web, Journal of Web Semantics, Knowledge Engineering Review, and Engineering Letters. 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 Applied Ontology's author guidelines. Before submitting, check the scope, follow the author guidelines for article type, length, and required statements, and prepare a cover letter.