Statistics & Risk Modeling
About
The 483 papers published in Statistics & Risk Modeling in the last decades have received a total of 3.7k indexed citations.
Papers published in Statistics & Risk Modeling usually cover Finance (77 papers), Management Science and Operations Research (73 papers) and Statistics and Probability (72 papers) specifically the topics of Risk and Portfolio Optimization (47 papers), Stochastic processes and financial applications (43 papers) and Statistical Methods and Inference (38 papers). The most active scholars publishing in Statistics & Risk Modeling are James O. Berger, Ludger Rüschendorf, Hans Föllmer, Wolfgang Wefelmeyer, Eric Schaanning, Claudia Czado, Eike Brechmann, J. Pfanzagl, Eckhard Liebscher and Irina Penner.
In The Last Decade
Fields of papers published in Statistics & Risk Modeling
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 & Risk Modeling. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Statistics & Risk Modeling
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Statistics & Risk Modeling. 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 & Risk Modeling 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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