Statistics & Probability Letters

79.6k citations
8.1k papers · · active since 1950

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
  • Finance top 1%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

    • Statistical Methods and Inference 2.2k
    • Statistical Distribution Estimation and Applications 1.7k
    • Advanced Statistical Methods and Models 1.4k
  • Finance 2.1k
    • Financial Risk and Volatility Modeling 1.3k
    • Stochastic processes and financial applications 1.2k

Statistics & Probability Letters

7.4k papers receiving 74.1k citations

Peers

Statistics & Probability Letters
Comparison fields: 5 of 236
  • Statistics and Probability 41.6k
  • Finance 18.1k
  • Statistics, Probability and Uncertainty 11.1k
  • Management Science and Operations Research 17.5k
  • Mathematical Physics 7.9k
Replace Journal of Applied Probability with:
Journal of Applied Probability United States
Journal of Multivariate Analysis United States
Advances in Applied Probability United States
Journal of Statistical Planning and Inference United States
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
The Annals of Probability United States
Stochastic Processes and their Applications United States
Journal of the Royal Statistical Society Series C (Applied Statistics) United Kingdom
Computational Statistics & Data Analysis United States
Journal of the Royal Statistical Society Series A (Statistics in Society) United Kingdom
Statistics & Probability Letters relative to Journal of Applied Probability United States Journal of Applied Probability's profile →
Citations per field
00.5×1.5×
Journal of Applied Probability · 1×
Citations per year

Countries where authors publish in Statistics & Probability Letters

Since Specialization
Citations

This map shows the geographic impact of research published in Statistics & Probability Letters. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Statistics & Probability Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics & Probability Letters more than expected).

Fields of papers published in Statistics & Probability Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistics & Probability Letters. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Statistics & Probability Letters.

About Statistics & Probability Letters

The 8.1k papers published in Statistics & Probability Letters in the last decades have received a total of 79.6k indexed citations . Papers published in Statistics & Probability Letters usually cover Statistics and Probability (4.9k papers), Finance (2.1k papers), Mathematical Physics (1.5k papers), Management Science and Operations Research (2.1k papers) and Statistics, Probability and Uncertainty (837 papers) specifically the topics of Statistical Methods and Inference (2.2k papers), Statistical Distribution Estimation and Applications (1.7k papers), Bayesian Methods and Mixture Models (1.4k papers), Advanced Statistical Methods and Models (1.4k papers), Probability and Risk Models (1.3k papers), Financial Risk and Volatility Modeling (1.3k papers), Stochastic processes and financial applications (1.2k papers) and Stochastic processes and statistical mechanics (1.1k papers). The most active scholars publishing in Statistics & Probability Letters are Joseph E. Cavanaugh, N. Balakrishnan, Yi‐Ching Yao, Hannu Oja, Keming Yu, Zhenmin Chen, Rana Moyeed, George G. Roussas, M. C. Jones and Luc Devroye.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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