Journal profile · STATISTICS & PROBABILITY

Advances in Data Analysis and Classification

ISSN 1862-5347 · eISSN 1862-5355 · Springer Berlin Heidelberg · GERMANY · 4 issues per year · Founded 2007

Advances in Data Analysis and Classification: CAS Zone 4 · Computer Science (2025 upgraded edition); impact factor 2.06; hybrid open access; APC about USD 3,190; median 281 days to acceptance (81 articles, last 24 months); community-reported acceptance: easy; 39 articles in 2025; indexed in SCIE and Scopus.

Impact factor2.06Latest value listed by LetPub
CAS zoneZone 4 · Computer Science2025 upgraded edition, major category · 2026 Xinrui edition Zone 4 · Computer Science
Review time281 daysMedian, submission to acceptance · 81 articles, last 24 months · Crossref
APCUSD 3,190Hybrid journal: charged only for open-access articles
AcceptanceEasyCommunity average
Articles per year392025 · OpenAlex count

Scope

Aims, scope and focus

Advances in Data Analysis and Classification is published by Springer Berlin Heidelberg and is in Zone 4 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Bayesian Methods and Mixture Models, Advanced Clustering Algorithms Research and Statistical Methods and Inference, together about 38.1% of its articles. Its main subfields are Statistics and Probability. (generated from OpenAlex topic counts and CAS ranking data)

The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from whatever types of data. It publishes articles on topics as, e.g., Structural, quantitative, or statistical approaches for the analysis of data, Advances in classification, clustering, and pattern recognition methods, Strategies for modeling complex data and mining large data sets, Methods for the extraction of knowledge from whatever type of data, and Applications of advanced methods in specific domains of practice. In particular, this comprises the consideration and handling of new data types as well as the analysis of complex structures such as text data and webfiles. Whereas the discussion of theoretical, statistical, or algorithmic advances in methodology is a major issue (e.g., in classification and clustering), the journal encourages strongly the publication of applications that illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. In addition to contributed papers on specific topics, the journal also publishes survey papers that outline, and illuminate, the basic ideas and techniques of special approaches. On occasion, specialized topics will be presented in a special issue. The journal is supported by several scientific societies which aim to foster the area of classification and data analysis.Supported by the International Federation of Classification SocietiesFunded by the Italian, German, and Japanese Classification Societies (CLADAG, GfKl, JCS)Officially cited as: Adv Data Anal Classif

From the journal's Aims & Scope

Research area (LetPub): STATISTICS & PROBABILITY

Editorial board by country: none in mainland China; most named Italy 14, France 7, Germany 6, Spain 2, United States 1 (35 members with a country) Editorial board ↗Publisher website ·

Main research topics OpenAlex counts of recent articles; shares are approximate

  1. Bayesian Methods and Mixture ModelsComputer Science17%
  2. Advanced Clustering Algorithms ResearchComputer Science11.4%
  3. Statistical Methods and InferenceMathematics9.6%
  4. Advanced Statistical Methods and ModelsMathematics9.2%
  5. Statistical Methods and Bayesian InferenceMathematics6.8%
  6. Face and Expression RecognitionComputer Science5.3%
  7. Sensory Analysis and Statistical MethodsAgricultural and Biological Sciences4.4%
  8. Data Management and AlgorithmsComputer Science3.4%

Rankings & indexing

CAS ranking and database indexing

CAS Journal Ranking

CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 4
LevelCategoryZone
MajorComputer ScienceZone 4
MinorStatistics & ProbabilityZone 3

Top journal: noReview journal: no

CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 4
LevelCategoryZone
MajorComputer ScienceZone 4
MinorStatistics & ProbabilityZone 3

Top journal: noReview journal: not marked

CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 4
LevelCategoryZone
MajorComputer ScienceZone 4
MinorStatistics & ProbabilityZone 4

Top journal: noReview journal: no

Database indexing

SCIEScopusLetPub

International journal early-warning lists: not listed in any editionLetPub

Indexing the journal's website claims

EI CompendexINSPECzbMATHDBLPPublisher website

Other: Google Scholar, EBSCO, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, AGRICOLA, Naver, OCLC, Portico, CLOCKSS

As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.

Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.

Metrics

Impact metrics and publication volume

Impact

Impact factor
2.06LetPub ·
Impact factor (publisher) 2025
2.1Publisher website ·
5-year impact factor (publisher) 2025
2.1Publisher website ·
CiteScore 2026-06
4.1LetPub ·
SJR 2026-06
0.7LetPub ·
SNIP 2026-06
1.44LetPub ·
h-index
23LetPub ·
h-index
53OpenAlex ·
i10-index
272OpenAlex ·
2-year mean citedness
2.72OpenAlex ·
Self-citation rate
4.8%LetPub ·
Share of gold OA articles
52.25%LetPub ·

Volume

Articles per year
33LetPub ·
Downloads per year (publisher) 2025
158,200Publisher website ·

Articles by year OpenAlex count · 701 in total · the current year is incomplete

YearArticlesOpen accessCitations
2026493422
2025392669
20244226263
20234521172
20225030464
20214832372

Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.

Review & acceptance

Review time and acceptance

Review time from article dates manuscript dates registered with Crossref · to

281 daysMedian, submission to acceptance · P25–P75 186 days – 381 days

Acceptance to online
median 35 days (86 articles)
Submission to online
median 342 days
Sample
81 articles with submission and acceptance dates (100 in the window); the latest was accepted on

Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".

Other sources

Average review time (community reports)
over 12 weeksLetPub ·
Average acceptance (community reports)
EasyLetPub ·
Submission to first decision
4 daysPublisher website ·
Peer review
Double anonymous peer reviewPublisher website

Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.

Fees & open access

APC and open-access policy

Hybrid open accessLetPub

A subscription journal in which authors can pay to publish their article open access.

SourceAPCFee waiverLicenseObserved
OpenAlexUSD 3,190 / EUR 2,590 / GBP 2,290——

A hybrid journal charges the APC only when the author chooses open access; publishing under the subscription model is usually free.

The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.

Submission

Article types and submission policies (journal website)

Open calls for papers3, by deadline
  1. Special Issue on Data Science: Methods for Explainable ModellingDeadline
  2. Special Issue: Data Science: Methods for Explainable ModellingDeadline
  3. Special Issue: Clustering and Classification at the Interface Between Statistics, Data Science and AIDeadline
Publisher website
What to prepare3 items from the author guidelines
Abstract
150–250 words
Keywords
≥ 4
Reference style
Author–date
Publisher website · model-extracted, each line checked against the text
Article types accepted1
  1. editorialDouble-blind peer review This journal follows a double-blind reviewing procedure. This means that the author will remain anonymous to the reviewers throughout p…Length not stated
Publisher website
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, Publication ethics, License & copyright, Open access, Peer review
AI use Generative AI Images

Please check Springer’s policy on generative AI images and make sure your work adheres to the principles described therein. Back to top

Source ↗Publisher website ·
Authorship Authorship principles

LLMs do not satisfy authorship criteria Model summary

These guidelines describe authorship principles and good authorship practices to which prospective authors should adhere to. Authorship clarified The Journal and Publisher assume all authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before th…

Source ↗Publisher website ·
Conflicts of interest Competing Interests

Authors are requested to disclose interests that are directly or indirectly related to the work submitted for publication. Interests within the last 3 years of beginning the work (conducting the research and preparing the work for submission) should be reported. Interests outside the 3-year time frame must be disclosed if they could reasonably be perceived as influencing the submitted work. Disclo…

Source ↗Publisher website ·
Data availability

Data transparency Model summary

All authors are requested to make sure that all data and materials as well as software application or custom code support their published claims and comply with field standards.

Source ↗Publisher website ·
Publication ethics

Competing interests disclosure required Model summary

Authors are required to disclose financial or non-financial interests that are directly or indirectly related to the work submitted for publication.

Source ↗Publisher website ·
License & copyright Copyright

Open Choice articles do not require transfer of copyright as the copyright remains with the author. In opting for open access, the author(s) agree to publish the article under a Creative Commons license. Details of the OA licences offered to authors can be found on the individual journal website, in the journal's How to publish with us guide. Back to top

Source ↗Publisher website ·
Open access Open access publishing

Open Choice copyright remains with author Model summary

To find out more about publishing your work Open Access in Advances in Data Analysis and Classification, including information on fees, funding and licences, visit our Open access publishing page. Back to top

Source ↗Publisher website ·
Peer review Double-blind peer review

Double-anonymous peer review Model summary

This journal follows a double-blind reviewing procedure. This means that the author will remain anonymous to the reviewers throughout peer review. It is the responsibility of the author to anonymize the manuscript and any associated materials. Author names, affiliations and any other potentially identifying information should be removed from the manuscript text and any accompanying files (such as …

Source ↗Publisher website ·

Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.

Profile

Publication details and official links

Publisher
Springer Berlin Heidelberg
Country or region
GERMANY
Language
English
Frequency
4 issues per year
Founded
2007
ISSN
1862-5347
Electronic ISSN
1862-5355
Latest issue on the website
Volume 20, Issue 3 (September 2026)
Official links

FAQ

Frequently asked questions about Advances in Data Analysis and Classification

What CAS zone is Advances in Data Analysis and Classification in?

In the 2025 upgraded edition of the CAS Journal Ranking, Advances in Data Analysis and Classification is in Zone 4 of Computer Science, and in Zone 3 of the minor category Statistics & Probability. In the 2026 Xinrui edition it is in Zone 4 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.

What is the impact factor of Advances in Data Analysis and Classification?

The latest impact factor listed by LetPub is 2.06; CiteScore 4.1, h-index 53.

How long does peer review take at Advances in Data Analysis and Classification?

Based on the dates recorded on 81 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 281 days (interquartile range 186–381 days); authors report an average review time of over 12 weeks; the community-reported acceptance is “Easy”. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.

What are the manuscript requirements of Advances in Data Analysis and Classification?

According to the journal's author guidelines: Abstract: 150–250 words; Keywords: ≥ 4; Reference style: Author–date. A model extracted these from the author guidelines and each was checked against the text; check the latest version on the journal's website before submitting.

Where are the editorial board members of Advances in Data Analysis and Classification based?

Of the 35 board members whose country the journal's board page names, none are in mainland China; the countries named most often are Italy (14), France (7) and Germany (6). Counted from the institutions listed on the board page; for reference only.

Which databases index Advances in Data Analysis and Classification?

According to LetPub and DOAJ records, Advances in Data Analysis and Classification is indexed in SCIE and Scopus. The journal's website also lists EI Compendex, INSPEC, zbMATH and DBLP; that list has not been checked against each database.

Is Advances in Data Analysis and Classification open access, and what is the APC?

Advances in Data Analysis and Classification is a hybrid journal. For open-access publication: APC about USD 3,190.

Sources and updates

The facts on this page come from LetPub, OpenAlex, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .