Statistics & Risk Modeling

483 papers and 3.7k indexed citations i.

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 Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistics & Risk Modeling. 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 & Risk Modeling.

Countries where authors publish in Statistics & Risk Modeling

Since Specialization
Citations

This map shows the geographic impact of research published in Statistics & Risk Modeling. 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 & Risk Modeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics & Risk Modeling more than expected).

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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2025