Journal decision profile

Advances and Applications in Statistics

Mathematics · Decision Sciences

Advances and Applications in Statistics' 2026 Journal Metrics Score is 0.5, ranking Q4 in Statistics and Probability and 1 other subfield. Two-year citation average from OpenAlex data, updated August 2026.

IndiapISSN 0972-3617eISSN 0972-3617
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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
0.5

Journal Metrics Score 2026 · 2021–2024 window citedness 0.40.

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.
0.52026 · 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.
#281 / 1,356LIFETIME 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.
0.6%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.
0.00MEDIAN 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.
84 / yr2021–2024 AVG
Field-normalized top 10% share0.6%

2 of 337 works · same type, year & subfield

Field-normalized top 1% share0%

0 works · same type, year & subfield

Median FWCI0.00×

Below field-year expectation

Source output rank#281

of 1,356 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 0.00, so its typical recent paper runs about 100% below its field benchmark.

What does Top 10% Share mean?

0.6% 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

592016
492017
672018
682019
882020
882021
872022
762023
862024
622025

Recent work-type mix

337 OpenAlex works · 2021–2024

Article99.7%
Erratum0.3%
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
Statistical Distribution Estimation and Applications65
Forecasting Techniques and Applications14
Survey Sampling and Estimation Techniques14
Advanced Statistical Methods and Models13
Advanced Statistical Process Monitoring13
COVID-19 epidemiological studies12
Probability and Statistical Research9
Statistical Methods and Bayesian Inference8
Optimal Experimental Design Methods7
Financial Risk and Volatility Modeling6
Methodology: OpenAlex snapshot 2026-10-26. FWCI, percentile badges, topics, and type mix use 337 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
Statistics and ProbabilityQ4
Artificial IntelligenceQ4

Is Advances and Applications in Statistics a good journal?

A lower-cited Q4 journal by citation data

By citation data, Advances and Applications in Statistics is in the lowest quartile in Statistics and Probability and 1 other subfield and ranks #1,711 of 2,118 Computer Science journals by Journal Metrics Score (top 81%). A Q4 placement means its papers are cited less than most in the subfield; on its own it does not mean the journal is predatory or that its peer review is weak. Advances and Applications in Statistics' 2026 Journal Metrics Score is 0.5. OpenAlex classifies its papers in subfields including Statistics and Probability and Artificial Intelligence, so check that your topic fits its scope.

Best quartile
Q4
Statistics and Probability
Rank in Computer Science
#1,711 of 2,118
Top 81%
2026 Journal Metrics Score
0.5
Acceptance rate
Not published
By the journal or publisher
Papers published in 2025
62
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.

Q4
Subfield Quartile
N/A
CAS Block

Ranking and source check

#1,711
of 2,118 Computer Science field journals
#51
among Q4 Computer Science journals

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

Journal Details

OpenAlex Works
828
H-Index
12
Fully Open Access
No
Recent OA Works
427
Subject Areas
Statistics and ProbabilityArtificial Intelligence

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 Advances and Applications in Statistics

  1. 1

    Check the scope

    OpenAlex classifies Advances and Applications in Statistics' papers in subfields including Statistics and Probability and Artificial Intelligence. 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.

  3. 3

    Submit online

    Use the submit link in Advances and Applications in Statistics' 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

    OpenAlex has no article processing charge on record. Check the journal website for page charges or an optional open-access fee.

  5. 5

    Know what to expect

    Advances and Applications in Statistics does not publish an acceptance rate.

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Common questions about Advances and Applications in Statistics

Is Advances and Applications in Statistics a good journal?

By citation data, Advances and Applications in Statistics is in the lowest quartile in Statistics and Probability and 1 other subfield and ranks #1,711 of 2,118 Computer Science journals by Journal Metrics Score (top 81%). A Q4 placement means its papers are cited less than most in the subfield; on its own it does not mean the journal is predatory or that its peer review is weak. Advances and Applications in Statistics' 2026 Journal Metrics Score is 0.5. OpenAlex classifies its papers in subfields including Statistics and Probability and Artificial Intelligence, so check that your topic fits its scope.

What is Advances and Applications in Statistics' Journal Metrics Score in 2026?

Advances and Applications in Statistics' 2026 Journal Metrics Score is 0.5, 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 Advances and Applications in Statistics?

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

What quartile is Advances and Applications in Statistics in?

Advances and Applications in Statistics' best quartile is Q4. By OpenAlex subfield: Q4 in Statistics and Probability; Q4 in Artificial Intelligence. 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 Advances and Applications in Statistics will not match this score exactly. Compare journals using one source at a time.

Which journals are alternatives to Advances and Applications in Statistics?

Comparable journals include Thailand Statistician, Journal of Statistical Theory and Applications, Austrian Journal of Statistics, and Sankhya-Series B-Applied and Interdisciplinary Statistics. 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 Advances and Applications in Statistics?

Submit online through the link in Advances and Applications in Statistics' author guidelines. 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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