Statistical Inference for Stochastic Processes
Impact Factor Trend (2023–2025)
Clarivate IF trend for Statistical Inference for Stochastic Processes
SCImago Journal Rank citation prestige weighting
24 papers with at least that number of citations each
Aims & Scope
Statistical Inference for Stochastic Processes aims to publish high quality papers devoted to inference in either discrete or continuous time stochastic processes. This includes topics such as ARMA processes, GARCH processes and other time series models, as well as diffusion type processes, point processes, random fields and Markov processes. Papers related to spatial models and empirical processes are also within the scope of the journal. Special focus is placed on methodological advances and sound theoretical results, but submissions that expose potential applications of the developed theory to finance, insurance, economics, biology, physics and engineering are very much encouraged. Officially cited as: Stat Inference Stoch Process
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
No WoS category details available for this journal.
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisStatistical Inference for Stochastic Processes (acronym: sisp, ISSN: 1387-0874) is a peer-reviewed international scholarly journal in the field of STATISTICS & PROBABILITY, published by Springer Nature in Netherlands. The periodical holds tracked under Web of Science (ESCI) in quartile Q1, a Scopus SJR indicator of 0.361 (Q3), an H-index of 24.
The journal enforces rigorous peer evaluation with a publication frequency of 3 issues per year, an annual output of approximately 32 scientific articles. In terms of accessibility and author fees, it operates under the Hybrid model with an estimated APC of $2,866 USD. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
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