Statistical Modelling

10.3k citations
528 papers · indexed · active since 1950

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Distribution Estimation and Applications
  • Finance top 10%
    • Financial Risk and Volatility Modeling

Papers in

    • Statistical Methods and Bayesian Inference 232
    • Statistical Methods and Inference 203
    • Advanced Statistical Methods and Models 93
    • Statistical Distribution Estimation and Applications 46
    • Bayesian Methods and Mixture Models 123

Statistical Modelling

496 papers receiving 9.6k citations

Peers

Statistical Modelling
Comparison fields: 5 of 213
  • Statistics and Probability 4.3k
  • Finance 822
  • Management Science and Operations Research 1.0k
  • Statistics, Probability and Uncertainty 496
  • Economics and Econometrics 1.8k
Replace Wiley Interdisciplinary Reviews Computational Statistics with:
Wiley Interdisciplinary Reviews Computational Statistics United States
Bayesian Analysis United States
The R Journal United States
Australian & New Zealand Journal of Statistics Australia
Journal of Classification United States
AStA Advances in Statistical Analysis Germany
Lifetime Data Analysis United States
Journal of Mathematical Sociology United States
Statistical Methodology United States
Journal of Official Statistics United States
Statistical Modelling relative to Wiley Interdisciplinary Reviews Computational Statistics United States Wiley Interdisciplinary Reviews Computational Statistics's profile →
Citations per field
00.5×1.5×1.9×
Wiley Interdisciplinary Reviews Computational Statistics · 1×
Citations per year

Countries where authors publish in Statistical Modelling

Since Specialization
Citations

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

Fields of papers published in Statistical Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistical Modelling. 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 Statistical Modelling.

About Statistical Modelling

The 528 papers published in Statistical Modelling in the last decades have received a total of 10.3k indexed citations . Papers published in Statistical Modelling usually cover Statistics and Probability (355 papers), Artificial Intelligence (164 papers), Finance (43 papers), Statistics, Probability and Uncertainty (30 papers) and Management Science and Operations Research (47 papers) specifically the topics of Statistical Methods and Bayesian Inference (232 papers), Statistical Methods and Inference (203 papers), Bayesian Methods and Mixture Models (123 papers), Advanced Statistical Methods and Models (93 papers), Statistical Distribution Estimation and Applications (46 papers), Financial Risk and Volatility Modeling (38 papers), Spatial and Panel Data Analysis (38 papers) and Soil Geostatistics and Mapping (31 papers). The most active scholars publishing in Statistical Modelling are Paul H.C. Eilers, Alan Agresti, Harvey Goldstein, Iain D. Currie, Thomas Kneib, Maŕıa Durbán, Robert L. Kieschnick, B. D. McCullough, William J. Browne and Yongyi Min.

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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