About the journal
Modern Journal of Statistics is an open-access journal published by Sphinx Scientific Press in United States, publishing in english. It is listed in DOAJ according to the sources read. Declared review time at DOAJ: 12 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Sphinx Scientific Press
- ISSN
- 3068-8140
- Country
- United States
- Languages
- english
- Access
- Open access
- Articles in DOAJ
- 0
- Declared review time
- 12 weeks
- Declared peer-review model
- double_blind
- Official website
- https://sphinxsp.org/journal/index.php/mjs/
Index listings
- DOAJ · 2026-05-16
- Indexing
- DOAJ
- APC
- —
- Declared review time (DOAJ)
- 12 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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- Choose your university and rank below ↓
Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
0
Average review time (journal-declared via DOAJ)
12weeks
Works in OpenAlex
21
Last recorded publication year
2026
h-index
7
i10-index
6
From OpenAlex open data (CC0).
Editorial & policy9
- Added to DOAJ
- 2026-05-16
- Declared plagiarism screening
- Not declared
- Other fees beyond APC
- No
- Declared digital preservation
- PKP PN
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 0%
- ORCID iDs in current deposits
- 8%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- Peer-review policy
- View policy
Identity & continuity1
- Source type
- journal
Classification2
Subjects (DOAJ)
LCC codes
Subject areas
- Statistical Distribution Estimation and Applications
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods and Inference
- Reliability and Maintenance Optimization
- Reliability and Maintenance Optimization
Show all subjects (50)
- Hydrology and Drought Analysis
- Advanced Statistical Methods and Models
- Financial Risk and Volatility Modeling
- Financial Risk and Volatility Modeling
- Hydrology and Drought Analysis
- Advanced Statistical Methods and Models
- Forecasting Techniques and Applications
- Forecasting Techniques and Applications
- Statistical Mechanics and Entropy
- Advanced Statistical Process Monitoring
- Advanced Statistical Process Monitoring
- Statistical Mechanics and Entropy
- Scientific Measurement and Uncertainty Evaluation
- Probability and Risk Models
- Innovation Diffusion and Forecasting
- Indian Economic and Social Development
- Fault Detection and Control Systems
- Engineering Diagnostics and Reliability
- Groundwater and Watershed Analysis
- Hydrological Forecasting Using AI
- Flood Risk Assessment and Management
- Bayesian Methods and Mixture Models
- Insurance, Mortality, Demography, Risk Management
- Bayesian Modeling and Causal Inference
- Software Reliability and Analysis Research
- VLSI and Analog Circuit Testing
- Probability and Risk Models
- Scientific Measurement and Uncertainty Evaluation
- Innovation Diffusion and Forecasting
- Probabilistic and Robust Engineering Design
- Indian Economic and Social Development
- Fault Detection and Control Systems
- Engineering Diagnostics and Reliability
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Groundwater and Watershed Analysis
- Insurance, Mortality, Demography, Risk Management
- Bayesian Methods and Mixture Models
- Software Reliability and Analysis Research
- Bayesian Modeling and Causal Inference
- VLSI and Analog Circuit Testing
- Probabilistic and Robust Engineering Design
Keywords (DOAJ)
- statistics
- probability theory
- stochastic processes
- linear and non-linear modeling approaches
- survival and reliability analysis
- fuzzy probability
Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.
The journal's record in other sources:Web of Science MJLDOAJ