Statistics in Transition New Series
Published by Polskie Towarzystwo Semiotyczne
ISSN : 1234-7655 eISSN : 2450-0291
Abbreviation : Stat. Transit. New Ser.
Aims & Scope
The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public.
Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public.
Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.211 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q4 |
h-index
| Year | Value |
|---|---|
| 2024 | 14 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 20557 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 112 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
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.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
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.
-
ON CLASS OF ESTIMATORS FOR POPULATION MEAN USING MULTI-AUXILIARY CHARACTERS IN THE PRESENCE OF NON-RESPONSE
Citation: 18
Authors: B. B., R. R.
-
War-driven wave of Ukrainian emigration to Europe: an attempt to evaluate the scale and consequences (the view of Ukrainian researchers)
Citation: 13
Authors: Ella, Oleksii
-
Methods of reducing dimension for functional data
Citation: 10
Authors: Tomasz, MirosÅ‚aw, Åukasz, Waldemar
-
Estimation of population mean using multi-auxiliary characters with subsampling the nonrespondents
Citation: 9
Authors: B. B., R. R.
-
Multidimensional approach to poverty measurement: fuzzy measures of the incidence and the depth of poverty
Citation: 8
Authors: Tomasz
-
Assessing the maturity of the current global system for combating financial and cyber fraud
Citation: 7
Authors: Olha, Hanna, Larysa