This map shows the geographic impact of research published in Stochastics. 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 Stochastics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stochastics more than expected).
This network shows the impact of papers published in Stochastics. 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 Stochastics.
About Stochastics
The 751 papers published in Stochastics in the last decades have received a total of 5.3k indexed citations . Papers published in Stochastics usually cover Finance (508 papers), Mathematical Physics (195 papers), Management Science and Operations Research (187 papers), Applied Mathematics (151 papers) and Modeling and Simulation (61 papers) specifically the topics of Stochastic processes and financial applications (479 papers), Financial Risk and Volatility Modeling (145 papers), Stochastic processes and statistical mechanics (133 papers), Probability and Risk Models (127 papers), Insurance, Mortality, Demography, Risk Management (92 papers), Stability and Controllability of Differential Equations (83 papers), Nonlinear Differential Equations Analysis (76 papers) and Economic theories and models (75 papers). The most active scholars publishing in Stochastics are Bernt Øksendal, Constantin Tudor, Mark Veraar, Xuerong Mao, Georgiy Shevchenko, Yuliya Mishura, Goran Peškir, Łukasz Szpruch, Thilo Meyer‐Brandis and Julian Tugaut.
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.