Journal decision profile

Computational Materials Science

Materials Science · Engineering

Computational Materials Science's 2026 Journal Metrics Score is 3.8, ranking Q2 in Materials Chemistry. Two-year citation average from OpenAlex data, updated August 2026.

Elsevier BVNetherlandspISSN 0927-0256eISSN 1879-0801
Checking system sharing availability.Visit homepage

Bookmark this page — track observed submission-to-acceptance timing, FWCI and field-normalized citation data for this journal in one view.

Journal Metrics Score
i
Journal Metrics ScoreThe raw score is citations received in the latest complete year by works from the two previous years, divided by the number of those works. It is calculated from OpenAlex open data (CC0) and is not a percentage grade.
2026
3.8

Journal Metrics Score 2026 · 2021–2024 window citedness 3.55.

Submission-to-acceptance
i
Submission-to-acceptanceCalendar days between the received and accepted dates reported in recent PubMed records. This interval includes editorial handling and author revisions, so it is not time to first decision or pure peer-review time.
PUBMED

Not available — there are not enough recent PubMed records with both received and accepted dates.

Indicative APC
i
Indicative APCThis journal-level estimate comes from the OpenAlex source record. It is not a verified quote and may exclude taxes, waivers, society discounts, or article-type charges. Check the journal's official website before deciding.
OPENALEX · VERIFY
$3,290

Journal-level estimate only. Verify current charges, taxes, waivers, discounts, and article-type fees with the journal.

Free preview · no sign-in

Does your manuscript fit Computational Materials Science?

Paste your title to see which of this journal's published topics it overlaps with. Your title stays in your browser for this preview and is not sent anywhere.

Want ranked journals with fit reasons, risks and a submission strategy instead? See a sample AI report.

At a glance

Journal decision profile

Each spoke is a 0–100 percentile within a comparable journal cohort—not a percentage grade or a single black-box rating.

Relative profile

Metrics ScoreThe raw 2026 Journal Metrics Score is the recent two-year citation average shown above. The radar converts it to a 0–100 cohort percentile: farther out means a higher score than more comparable journals. It is not a percentage grade.iSource outputThe raw rank compares lifetime output inside the journal’s leading-topic source set. The radar then compares that rank position across Decision Profile journals in the same primary OpenAlex field; when that field has too few profiles, it uses the broader profile set. Farther out means relatively more output, not better research quality.iTop 10% shareThe share of recent papers in the global top 10% for citations after comparing papers of the same type, publication year, and subfield. The radar converts that share to a 0–100 cohort percentile; it does not predict how a new paper will perform.iMedian FWCICitation performance of the middle recent paper after field, year, and work type are considered. A raw FWCI of 1.0 is the expected citation level for comparable papers; the radar shows its 0–100 cohort percentile.iOutput volumeAverage works published per year in the recent analysis window, converted to a 0–100 cohort percentile. Farther out means the journal publishes more papers; it does not mean those papers are better.i
Cost is intentionally excluded. Missing APC data is never converted to a zero-dollar fee or a fabricated cost score.

Raw values behind the shape

Always visible
Metrics Score
i
Metrics ScoreThe 2026 raw Journal Metrics Score shown above. The bar is its 0–100 percentile within the radar's comparable journal cohort; it is not a percentage score.
3.82026 · OPENALEX
Source output rank
i
Source output rankThis lifetime journal-wide output rank compares works published by the OpenAlex source with sources associated with the journal’s leading topic. More output does not mean higher quality.
#41 / 1,109LIFETIME OUTPUT
Highly cited papers
i
Highly cited papersShare of recent works in the global top 10% for citations after comparing papers of the same type, publication year, and subfield.
6.3%FIELD-NORMALIZED TOP 10%
Field-normalized impact
i
Field-normalized impactCitation performance of the middle recent paper after field, year, and work type are considered. A raw FWCI of 1.0 is the expected level for comparable work.
0.63MEDIAN FWCI
Submission-to-acceptance
i
Submission-to-acceptanceReceived-to-accepted calendar days from qualified PubMed records. It includes editorial handling and author revisions; it is not time to first decision or pure peer-review time.
—NOT AVAILABLE
Recent output
i
Recent outputAverage works published per year across the complete analysis window. This is a volume measure, not a quality score.
693 / yr2021–2024 AVG
Field-normalized top 10% share6.3%

174 of 2,769 works · same type, year & subfield

Field-normalized top 1% share0.3%

9 works · same type, year & subfield

Median FWCI0.63×

Below field-year expectation

Source output rank#41

of 1,109 topic-associated OpenAlex sources by lifetime output

What does Median FWCI mean?

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 0.63, so its typical recent paper runs about 37% below its field benchmark.

What does Top 10% Share mean?

6.3% of recent papers rank in the global top 10% after field normalization. This is easier to compare across specialties than raw citation totals.

Publishing pattern

Publication volume and article mix

Volume is separated from citation accumulation so newer papers are not presented as weaker simply because they are newer.

Works published by year

OpenAlex source records · 2016–2025

5762016
6242017
7382018
6932019
6542020
7262021
6252022
6542023
7672024
7372025

Recent work-type mix

2,769 OpenAlex works · 2021–2024

Article96.2%
Paratext2.3%
Erratum0.8%
Retraction0.6%
Editorial0.1%
OpenAlex article is broader than “original research.” PubMed Publication Types can add case-report and clinical-study detail.
Fit signals

Topics and research coverage

OpenAlex topics show the research communities this journal serves.

Leading OpenAlex topics

2021–2024 works
Machine Learning in Materials Science391
Microstructure and mechanical properties153
Fusion materials and technologies130
Solidification and crystal growth phenomena126
2D Materials and Applications118
High Entropy Alloys Studies74
Boron and Carbon Nanomaterials Research62
Graphene research and applications58
Advancements in Battery Materials54
Advanced Chemical Physics Studies51
Methodology: OpenAlex snapshot 2026-10-16. FWCI, percentile badges, topics, and type mix use 2,769 works published 2021–2024. Radar normalization is versioned in the cached profile, and no cost score is assigned without reliable APC data.

Subject Category Quartiles

Quartiles computed within each OpenAlex subfield
CategoryQuartile
Materials ChemistryQ2

Is Computational Materials Science a good journal?

A solid Q2 journal by citation data

By citation data, Computational Materials Science is a solid journal: it is Q2 in Materials Chemistry, the second quarter of journals by score, and ranks #408 of 1,169 Materials Science journals by Journal Metrics Score (top 35%). Computational Materials Science's 2026 Journal Metrics Score is 3.8. OpenAlex lists an indicative article processing charge of $3,290 USD. OpenAlex classifies its papers in subfields including Materials Chemistry, so check that your topic fits its scope.

Best quartile
Q2
Materials Chemistry
Rank in Materials Science
#408 of 1,169
Top 35%
2026 Journal Metrics Score
3.8
Acceptance rate
Not published
By the journal or publisher
Indicative APC
$3,290
OpenAlex, verify with the journal
Papers published in 2025
732
OpenAlex works

Check before you submit

  • Confirm the current article processing charge, waivers, and any institutional agreement on the journal website; the OpenAlex figure is indicative.
  • Confirm the journal is indexed where your institution or funder requires (for example Scopus or PubMed) before you submit.

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.

Q2
Subfield Quartile
B3
CAS Block

Ranking and source check

#408
of 1,169 Materials Science field journals
#33
among Q2 Materials Science journals

Confirm the exact title and ISSNs against the publisher homepage before a high-stakes submission decision.

Journal Details

OpenAlex Works
14,334
H-Index
171
Fully Open Access
No
Recent OA Works
2,188
Subject Areas
Materials Chemistry

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.

How to submit to Computational Materials Science

  1. 1

    Check the scope

    OpenAlex classifies Computational Materials Science's papers in subfields including Materials Chemistry. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.

  2. 2

    Follow the author guidelines

    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.

    Computational Materials Science homepage ↗
  3. 3

    Submit through Editorial Manager

    Most Elsevier and Cell Press journals take submissions through Editorial Manager; each journal has its own site, reached from Submit your article on the journal homepage.

  4. 4

    Plan for costs

    OpenAlex lists an indicative article processing charge of $3,290 USD. Check the current fee, waivers, and any institutional agreement on the journal website.

  5. 5

    Know what to expect

    Computational Materials Science does not publish an acceptance rate.

Submission system from the publisher's author information, checked 2026-10-27. Individual journals can differ, so follow the link in the journal's own author guidelines.

Reviewer Two · coming soon

Know what reviewers will say before you submit to Computational Materials Science

An AI pre-submission report on your manuscript: the objections a tough reviewer is likely to raise, desk-rejection risks, and better-fit journals from our data. $29 per report.

See what the report covers

Common questions about Computational Materials Science

Is Computational Materials Science a good journal?

By citation data, Computational Materials Science is a solid journal: it is Q2 in Materials Chemistry, the second quarter of journals by score, and ranks #408 of 1,169 Materials Science journals by Journal Metrics Score (top 35%). Computational Materials Science's 2026 Journal Metrics Score is 3.8. OpenAlex lists an indicative article processing charge of $3,290 USD. OpenAlex classifies its papers in subfields including Materials Chemistry, so check that your topic fits its scope.

What is Computational Materials Science's Journal Metrics Score in 2026?

Computational Materials Science's 2026 Journal Metrics Score is 3.8, 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.

What is the acceptance rate of Computational Materials Science?

We have not found an official acceptance rate published by Computational Materials Science or its publisher, and Journal Metrics does not estimate one because submission counts are not public. To judge selectivity, compare Computational Materials Science's quartile and score with similar journals, or ask the editorial office.

What quartile is Computational Materials Science in?

Computational Materials Science's best quartile is Q2. By OpenAlex subfield: Q2 in Materials Chemistry. Quartiles rank journals by Journal Metrics Score within each subfield.

Is the Journal Metrics Score the same as other journal citation metrics?

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 Computational Materials Science will not match this score exactly. Compare journals using one source at a time.

How much does it cost to publish in Computational Materials Science?

OpenAlex lists an indicative article processing charge of $3,290 USD for Computational Materials Science. This journal-level estimate may exclude taxes, waivers, discounts, or article-type fees, so confirm the current charge on the journal's website.

Which journals are alternatives to Computational Materials Science?

Comparable journals include Npj Computational Materials, Materials Genome Engineering Advances, Modelling and Simulation in Materials Science and Engineering, and Npj 2d Materials and Applications. Compare their scores, acceptance times, and costs in the recommended alternatives on this page before choosing where to submit.

How do I submit a paper to Computational Materials Science?

Most Elsevier and Cell Press journals take submissions through Editorial Manager; each journal has its own site, reached from Submit your article 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.

Cite an article from this journal
Back to Search