South African Statistical Journal

Aims & Scope

The South African Statistical Journal (SASJ) is the official journal of the South African Statistical Association and is published bi-annually.

SASJ will publish innovative contributions to the theory and application of statistics.

Authoritative review articles on topics of general interest, which are not readily accessible in a coherent form, will also be considered for publication.

Articles on applications will also be considered.

These articles should normally consist of the analysis of actual data and need not necessarily contain new theory.

The data should be made available with the article but need not be part of it.

Articles of general or non-technical nature will also be considered provided that the topic is of current interest to the theory, application or teaching of statistics.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	<0.1

SJR (SCImago Journal Rank)

Year	Value
2024	0.105

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	12

Journal Rank

Year	Value
2024	29161

Journal Citation Indicator

Year	Value
2024	2

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Kernel estimation of residual extropy function under α-mixing dependence condition

  Citation: 13

  Authors: R., M. R.

• An overview of goodness-of-fit tests for the Poisson distribution

  Citation: 10

  Authors: P.A., I.J.H.

• Combining the Box-Cox power and generalised log transformations to accommodate nonpositive responses in linear and mixed-effects linear models

  Citation: 6

  Authors: D. M., S.

• Autobin: A predictive approach towards automatic binning using data splitting

  Citation: 5

  Authors: Tanja

• On five-parameter Burr XII distribution: Properties and applications

  Citation: 5

  Authors: M. E., Ahmed Z.

• Independence tests in semiparametric transformation models

  Citation: 4

  Authors: Marie, Simos G., Natalie, Charl

• Bayesian testing for process capability indices

  Citation: 4

  Authors: A. J., M. R., R.

• Default weighted survival analysis to directly model loss given default

  Citation: 3

  Authors: Morne, Tanja, Helgard

• Asymptotic normality of the local linear estimation of the conditional density for functional dependent and censored data

  Citation: 3

  Authors: Abdelkader, Fethi, Salah

• Maximum likelihood estimation of the generalised Gompertz distribution under progressively first-failure censored sampling

  Citation: 2

  Authors: Samir K., Ahmed A., Ahmed

---