Quantitative Finance
About
The 2.4k papers published in Quantitative Finance in the last decades have received a total of 46.6k indexed citations.
Papers published in Quantitative Finance usually cover Finance (1.9k papers), Economics and Econometrics (1.2k papers) and Management Science and Operations Research (493 papers) specifically the topics of Stochastic processes and financial applications (1.0k papers), Financial Risk and Volatility Modeling (934 papers) and Complex Systems and Time Series Analysis (680 papers). The most active scholars publishing in Quantitative Finance are Rama Cont, Jim Gatheral, Shelby H. McIntyre, Xiaojing Dong, Didier Sornette, Fabrizio Lillo, Tiziana Di Matteo, Dilip B. Madan, J. Doyne Farmer and Jean‐Philippe Bouchaud.
In The Last Decade
Fields of papers published in Quantitative Finance
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 Quantitative Finance. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Quantitative Finance
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Quantitative Finance. 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 Quantitative Finance 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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