Optical Memory and Neural Networks' 2026 Journal Metrics Score is 1.0, ranking Q3 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 0.98.
Not available — there are not enough recent PubMed records with both received and accepted dates.
No journal-level APC is available in the current OpenAlex snapshot. Cost is excluded from scoring.
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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 246 works · same type, year & subfield
0 works · same type, year & subfield
Below field-year expectation
of 2,388 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 0.16, so its typical recent paper runs about 84% below its field benchmark.
2.8% 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
246 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 | Q3 |
| Atomic and Molecular Physics, and Optics | Q4 |
| Electrical and Electronic Engineering | Q4 |
| Biomedical Engineering | Q4 |
A mid-ranked Q3 journal by citation data
By citation data, Optical Memory and Neural Networks is a mid-ranked journal: it is Q3 in Artificial Intelligence, the third quarter of journals by score, below the subfield median, and ranks #2,898 of 3,811 Engineering journals by Journal Metrics Score (top 77%). Optical Memory and Neural Networks' 2026 Journal Metrics Score is 1.0. OpenAlex classifies its papers in subfields including Artificial Intelligence, Atomic and Molecular Physics, and Optics, and Electrical and Electronic Engineering, 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 Optical Memory and Neural Networks' papers in subfields including Artificial Intelligence, Atomic and Molecular Physics, and Optics, and Electrical and Electronic Engineering. 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.
Optical Memory and Neural Networks homepage ↗Use the submit link in Optical Memory and Neural Networks' author guidelines; Pleiades Publishing runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
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Optical Memory and Neural Networks does not publish an acceptance rate.
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See what the report coversBy citation data, Optical Memory and Neural Networks is a mid-ranked journal: it is Q3 in Artificial Intelligence, the third quarter of journals by score, below the subfield median, and ranks #2,898 of 3,811 Engineering journals by Journal Metrics Score (top 77%). Optical Memory and Neural Networks' 2026 Journal Metrics Score is 1.0. OpenAlex classifies its papers in subfields including Artificial Intelligence, Atomic and Molecular Physics, and Optics, and Electrical and Electronic Engineering, so check that your topic fits its scope.
Optical Memory and Neural Networks' 2026 Journal Metrics Score is 1.0, 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 Optical Memory and Neural Networks or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Optical Memory and Neural Networks' quartile and score with similar journals, or ask the editorial office.
Optical Memory and Neural Networks' best quartile is Q3. By OpenAlex subfield: Q3 in Artificial Intelligence; Q4 in Atomic and Molecular Physics, and Optics; Q4 in Electrical and Electronic Engineering; Q4 in Biomedical Engineering. 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 Optical Memory and Neural Networks will not match this score exactly. Compare journals using one source at a time.
Comparable journals include Computer Optics, Journal of Optics, Optica, and Advanced Photonics Nexus. 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 Optical Memory and Neural Networks' 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.