Statistical Science

Aims & Scope

The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	3.4

SJR (SCImago Journal Rank)

Year	Value
2024	1.672

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	125

---

---

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.

• Inference from Iterative Simulation Using Multiple Sequences

  Citation: 12072

  Authors: Andrew, Donald B.

• Matching Methods for Causal Inference: A Review and a Look Forward

  Citation: 3850

  Authors: Elizabeth A.

• Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

  Citation: 3558

  Authors: B., R.

• Design and Analysis of Computer Experiments

  Citation: 3441

  Authors: Jerome, William J., Toby J., Henry P.

• Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

  Citation: 3273

  Authors: Leo

• Flexible smoothing with B-splines and penalties

  Citation: 2628

  Authors: Paul H. C., Brian D.

• Interval Estimation for a Binomial Proportion

  Citation: 2479

  Authors: Lawrence D., T. Tony, Anirban

• To Explain or to Predict?

  Citation: 2118

  Authors: Galit

• Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors

  Citation: 2014

  Authors: Jennifer A., David, Adrian E., Chris T.

• Generalized Additive Models

  Citation: 1649

  Authors: Trevor, Robert

---