Statistics & Risk Modeling

4.0k citations
489 papers · · active since 1950

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
  • Finance top 5%
    • Financial Risk and Volatility Modeling
    • Stochastic processes and financial applications

Papers in

    • Statistical Methods and Inference 37
    • Advanced Statistical Methods and Models 29
    • Statistical Distribution Estimation and Applications 15
    • Stochastic processes and financial applications 38
    • Financial Risk and Volatility Modeling 32

Statistics & Risk Modeling

181 papers receiving 1.9k citations

Peers

Statistics & Risk Modeling
Comparison fields: 5 of 136
  • Statistics and Probability 2.2k
  • Finance 1.2k
  • Statistics, Probability and Uncertainty 586
  • Management Science and Operations Research 1.1k
  • General Decision Sciences 75
Replace AStA Advances in Statistical Analysis with:
AStA Advances in Statistical Analysis Germany
METRON Italy
Statistical Modelling United States
Statistical Methodology United States
Australian & New Zealand Journal of Statistics Australia
Stochastic Models United States
Computational Management Science United States
Bayesian Analysis United States
Extremes United States
Mathematics of Control Signals and Systems United States
Statistics & Risk Modeling relative to AStA Advances in Statistical Analysis Germany AStA Advances in Statistical Analysis's profile →
Citations per field
00.5×
AStA Advances in Statistical Analysis · 1×
Citations per year

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).

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.

About Statistics & Risk Modeling

The 489 papers published in Statistics & Risk Modeling in the last decades have received a total of 4.0k indexed citations . Papers published in Statistics & Risk Modeling usually cover Statistics and Probability (74 papers), Finance (69 papers), Management Science and Operations Research (67 papers), Statistics, Probability and Uncertainty (16 papers) and General Decision Sciences (4 papers) specifically the topics of Stochastic processes and financial applications (38 papers), Risk and Portfolio Optimization (38 papers), Statistical Methods and Inference (37 papers), Financial Risk and Volatility Modeling (32 papers), Advanced Statistical Methods and Models (29 papers), Probability and Risk Models (17 papers), Statistical Distribution Estimation and Applications (15 papers) and Economic theories and models (14 papers). The most active scholars publishing in Statistics & Risk Modeling are James O. Berger, Ludger Rüschendorf, Hans Föllmer, Wolfgang Wefelmeyer, Georg Mainik, J. Pfanzagl, Eike Brechmann, Claudia Czado, Eric Schaanning and Eckhard Liebscher.

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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