Genetic Programming and Evolvable Machines' 2026 Journal Metrics Score is 3.9, ranking Q1 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 1.28.
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.
5 of 107 works · same type, year & subfield
0 works · same type, year & subfield
Below field-year expectation
of 609 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 0.35, so its typical recent paper runs about 65% below its field benchmark.
4.7% 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
107 OpenAlex works · 2021–2024
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| Category | Quartile |
|---|---|
| Artificial Intelligence | Q1 |
| Computational Theory and Mathematics | Q1 |
Yes. A Q1 journal by citation data
Yes. By citation data, Genetic Programming and Evolvable Machines is a strong journal: it is Q1 in Artificial Intelligence and 1 other subfield and ranks #408 of 2,118 Computer Science journals by Journal Metrics Score (top 20%). Genetic Programming and Evolvable Machines' 2026 Journal Metrics Score is 3.9. OpenAlex lists an indicative article processing charge of $2,090 USD. OpenAlex classifies its papers in subfields including Artificial Intelligence and Computational Theory and Mathematics, 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 Genetic Programming and Evolvable Machines' papers in subfields including Artificial Intelligence and Computational Theory and Mathematics. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.
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Genetic Programming and Evolvable Machines homepage ↗Use the submit link in Genetic Programming and Evolvable Machines' author guidelines; Springer Science+Business Media 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 $2,090 USD. Check the current fee, waivers, and any institutional agreement on the journal website.
Genetic Programming and Evolvable Machines does not publish an acceptance rate.
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See what the report coversYes. By citation data, Genetic Programming and Evolvable Machines is a strong journal: it is Q1 in Artificial Intelligence and 1 other subfield and ranks #408 of 2,118 Computer Science journals by Journal Metrics Score (top 20%). Genetic Programming and Evolvable Machines' 2026 Journal Metrics Score is 3.9. OpenAlex lists an indicative article processing charge of $2,090 USD. OpenAlex classifies its papers in subfields including Artificial Intelligence and Computational Theory and Mathematics, so check that your topic fits its scope.
Genetic Programming and Evolvable Machines' 2026 Journal Metrics Score is 3.9, 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 Genetic Programming and Evolvable Machines or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Genetic Programming and Evolvable Machines' quartile and score with similar journals, or ask the editorial office.
Genetic Programming and Evolvable Machines' best quartile is Q1. By OpenAlex subfield: Q1 in Artificial Intelligence; Q1 in Computational Theory and Mathematics. 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 Genetic Programming and Evolvable Machines will not match this score exactly. Compare journals using one source at a time.
OpenAlex lists an indicative article processing charge of $2,090 USD for Genetic Programming and Evolvable Machines. 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 Knowledge Engineering Review, Evolutionary Computation, Computational Linguistics, and Transactions of the Association For Computational Linguistics. 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 Genetic Programming and Evolvable Machines' 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.