Frontiers in Applied Mathematics and Statistics

Frontiers Media S.A.

Journal websitePeer review: Peer review
Evaluation status available after sign-in

About the journal

Frontiers in Applied Mathematics and Statistics is an open-access journal published by Frontiers Media S.A. in Switzerland, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 1,175 CHF. Declared review time at DOAJ: 14 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Frontiers Media S.A.
ISSN
2297-4687
Country
Switzerland
Languages
english
Access
Open access
Declared publication charge
1,175 CHF
Articles in DOAJ
972
Declared review time
14 weeks
Declared peer-review model
peer_review

Index listings

  • DOAJ · 2016-02-05
Indexing
DOAJ
APC
1,175 CHF
Declared review time (DOAJ)
14 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
Counts for promotion at your university?
Choose your university and rank below ↓

Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

Create a free account to view the evaluation

Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

972

Most recent article

last month

Average review time (journal-declared via DOAJ)

14weeks

Works in OpenAlex

946

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

34

i10-index

210

From OpenAlex open data (CC0).

Editorial & policy13
Last DOAJ review date
2026-03-12
Added to DOAJ
2016-02-05
Declared plagiarism screening
Declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSS
Observed digital preservation (Keepers registry)— snapshot 2026-09-21
CLOCKSS
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
95%
ORCID iDs in current deposits
0%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity2
Source type
journal
NLM unique ID (PubMed)
101729233
Classification4

Subjects (DOAJ)

Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methodsScience: Mathematics: Probabilities. Mathematical statistics

LCC codes

T57-57.97QA273-280

Subject areas

  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • COVID-19 epidemiological studies
  • COVID-19 epidemiological studies
  • Complex Systems and Time Series Analysis
  • Fractional Differential Equations Solutions
  • Financial Risk and Volatility Modeling
  • Complex Systems and Time Series Analysis
Show all subjects (50)
  • Neural dynamics and brain function
  • Fractional Differential Equations Solutions
  • Neural dynamics and brain function
  • Nonlinear Dynamics and Pattern Formation
  • Nonlinear Dynamics and Pattern Formation
  • Evolution and Genetic Dynamics
  • Financial Risk and Volatility Modeling
  • Sparse and Compressive Sensing Techniques
  • Sparse and Compressive Sensing Techniques
  • Evolution and Genetic Dynamics
  • Statistical Methods and Inference
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Advanced Statistical Methods and Models
  • Stochastic processes and financial applications
  • Market Dynamics and Volatility
  • Gene Regulatory Network Analysis
  • Gene Regulatory Network Analysis
  • Market Dynamics and Volatility
  • Stochastic processes and financial applications
  • Model Reduction and Neural Networks
  • Model Reduction and Neural Networks
  • Statistical Distribution Estimation and Applications
  • Statistical Distribution Estimation and Applications
  • Differential Equations and Numerical Methods
  • Differential Equations and Numerical Methods
  • Tensor decomposition and applications
  • Tensor decomposition and applications
  • Neural Networks and Applications
  • Stock Market Forecasting Methods
  • Financial Markets and Investment Strategies
  • Stock Market Forecasting Methods
  • Neural Networks and Applications
  • Image and Signal Denoising Methods
  • Financial Markets and Investment Strategies
  • stochastic dynamics and bifurcation
  • Image and Signal Denoising Methods
  • stochastic dynamics and bifurcation
  • Chaos control and synchronization
  • Chaos control and synchronization

Keywords (DOAJ)

  • applied mathematics
  • dynamical systems
  • mathematical finance
  • mathematics of computation
  • optimization

Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.

Loading community confirmations…
How do we evaluate?Publisher of this journal? Appeal a derived assessment or request a factual correction

The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: