Journal decision profile

Cmc-Computers Materials & Continua

Computer Science · Engineering

Cmc-Computers Materials & Continua's 2026 Journal Metrics Score is 2.8, ranking Q2 in Computer Networks and Communications and 2 other subfields. Two-year citation average from OpenAlex data, updated August 2026.

United StatespISSN 1546-2218eISSN 1546-2226
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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
2.8

Journal Metrics Score 2026 · 2021–2024 window citedness 2.82.

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
Not available

No journal-level APC is available in the current OpenAlex snapshot. Cost is excluded from scoring.

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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.
2.82026 · 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.
#156 / 9,000LIFETIME 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.
11.5%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.
0.60MEDIAN 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.
1093 / yr2021–2024 AVG
Field-normalized top 10% share11.5%

503 of 4,372 works · same type, year & subfield

Field-normalized top 1% share0.6%

28 works · same type, year & subfield

Median FWCI0.60×

Below field-year expectation

Source output rank#156

of 9,000 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 0.60, so its typical recent paper runs about 40% below its field benchmark.

What does Top 10% Share mean?

11.5% 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

02016
32017
922018
3262019
5462020
13862021
12652022
7552023
9662024
12552025

Recent work-type mix

4,372 OpenAlex works · 2021–2024

Article99.6%
Review0.3%
Dissertation0.1%
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
Network Security and Intrusion Detection189
Advanced Neural Network Applications132
Blockchain Technology Applications and Security101
Advanced Steganography and Watermarking Techniques85
Smart Agriculture and AI83
Artificial Intelligence in Healthcare82
Metaheuristic Optimization Algorithms Research81
COVID-19 diagnosis using AI74
Sentiment Analysis and Opinion Mining74
Energy Efficient Wireless Sensor Networks72
Methodology: OpenAlex snapshot 2026-11-12. FWCI, percentile badges, topics, and type mix use 4,372 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
Computer Networks and CommunicationsQ2
Artificial IntelligenceQ2
Computer Vision and Pattern RecognitionQ2

Is Cmc-Computers Materials & Continua a good journal?

A solid Q2 journal by citation data

By citation data, Cmc-Computers Materials & Continua is a solid journal: it is Q2 in Computer Networks and Communications and 2 other subfields, the second quarter of journals by score, and ranks #626 of 2,118 Computer Science journals by Journal Metrics Score (top 30%). Cmc-Computers Materials & Continua's 2026 Journal Metrics Score is 2.8. OpenAlex classifies its papers in subfields including Computer Networks and Communications, Artificial Intelligence, and Computer Vision and Pattern Recognition, so check that your topic fits its scope.

Best quartile
Q2
Computer Networks and Communications
Rank in Computer Science
#626 of 2,118
Top 30%
2026 Journal Metrics Score
2.8
Acceptance rate
Not published
By the journal or publisher
Access model
Fully open access
No APC on record in OpenAlex
Papers published in 2025
1,255
OpenAlex works

Check before you submit

  • 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
B4
CAS Block

Ranking and source check

#626
of 2,118 Computer Science field journals
#56
among Q2 Computer Science journals

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

Journal Details

OpenAlex Works
7,192
H-Index
76
Fully Open Access
Yes
Recent OA Works
7,192
Subject Areas
Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition

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 Cmc-Computers Materials & Continua

  1. 1

    Check the scope

    OpenAlex classifies Cmc-Computers Materials & Continua's papers in subfields including Computer Networks and Communications, Artificial Intelligence, and Computer Vision and Pattern Recognition. 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.

    Cmc-Computers Materials & Continua homepage ↗
  3. 3

    Submit online

    Use the submit link in Cmc-Computers Materials & Continua's author guidelines. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.

  4. 4

    Plan for costs

    The journal is fully open access, and OpenAlex has no article processing charge on record. Check the journal website for current fees and waivers.

  5. 5

    Know what to expect

    Cmc-Computers Materials & Continua does not publish an acceptance rate.

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Common questions about Cmc-Computers Materials & Continua

Is Cmc-Computers Materials & Continua a good journal?

By citation data, Cmc-Computers Materials & Continua is a solid journal: it is Q2 in Computer Networks and Communications and 2 other subfields, the second quarter of journals by score, and ranks #626 of 2,118 Computer Science journals by Journal Metrics Score (top 30%). Cmc-Computers Materials & Continua's 2026 Journal Metrics Score is 2.8. OpenAlex classifies its papers in subfields including Computer Networks and Communications, Artificial Intelligence, and Computer Vision and Pattern Recognition, so check that your topic fits its scope.

What is Cmc-Computers Materials & Continua's Journal Metrics Score in 2026?

Cmc-Computers Materials & Continua's 2026 Journal Metrics Score is 2.8, 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 Cmc-Computers Materials & Continua?

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

What quartile is Cmc-Computers Materials & Continua in?

Cmc-Computers Materials & Continua's best quartile is Q2. By OpenAlex subfield: Q2 in Computer Networks and Communications; Q2 in Artificial Intelligence; Q2 in Computer Vision and Pattern Recognition. 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 Cmc-Computers Materials & Continua will not match this score exactly. Compare journals using one source at a time.

Which journals are alternatives to Cmc-Computers Materials & Continua?

Comparable journals include Egyptian Informatics Journal, Computers & Electrical Engineering, Peerj Computer Science, and Journal of Intelligent Systems. 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 Cmc-Computers Materials & Continua?

Submit online through the link in Cmc-Computers Materials & Continua'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.

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