Statistics & Probability Letters
About
The 8.2k papers published in Statistics & Probability Letters in the last decades have received a total of 77.4k indexed citations.
Papers published in Statistics & Probability Letters usually cover Statistics and Probability (5.0k papers), Finance (2.2k papers) and Management Science and Operations Research (2.1k papers) specifically the topics of Statistical Methods and Inference (2.2k papers), Statistical Distribution Estimation and Applications (1.7k papers) and Bayesian Methods and Mixture Models (1.4k papers). The most active scholars publishing in Statistics & Probability Letters are N. Balakrishnan, Joseph E. Cavanaugh, Yi‐Ching Yao, Hannu Oja, Keming Yu, Rana Moyeed, Zhenmin Chen, George G. Roussas, M. C. Jones and Luc Devroye.
In The Last Decade
Fields of papers published in Statistics & Probability Letters
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Statistics & Probability Letters. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Statistics & Probability Letters
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Statistics & Probability Letters. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Statistics & Probability Letters with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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