Statistics and Computing

75.4k citations
1.8k papers · · active since 1950

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Markov Chains and Monte Carlo Methods
    • Bayesian Methods and Mixture Models
    • Gaussian Processes and Bayesian Inference
    • Target Tracking and Data Fusion in Sensor Networks

Papers in

    • Statistical Methods and Inference 611
    • Statistical Methods and Bayesian Inference 462
    • Advanced Statistical Methods and Models 258
    • Markov Chains and Monte Carlo Methods 193
    • Statistical Distribution Estimation and Applications 134
    • Bayesian Methods and Mixture Models 540
    • Gaussian Processes and Bayesian Inference 158

Statistics and Computing

1.6k papers receiving 70.7k citations

Peers

Statistics and Computing
Comparison fields: 5 of 240
  • Statistics and Probability 15.2k
  • Artificial Intelligence 23.9k
  • Statistics, Probability and Uncertainty 4.2k
  • Computational Mathematics 251
  • Management Science and Operations Research 4.7k
Replace Journal of Computational and Graphical Statistics with:
Journal of Computational and Graphical Statistics United States
Journal of Statistical Software United States
Journal of the Royal Statistical Society Series A (Statistics in Society) United Kingdom
Statistical Science United States
Journal of the Royal Statistical Society Series C (Applied Statistics) United States
International Statistical Review United States
Journal of Mathematical Psychology United States
Annals of the Institute of Statistical Mathematics United States
International Journal of Forecasting United States
Journal of Business and Economic Statistics United States
Statistics and Computing relative to Journal of Computational and Graphical Statistics United States Journal of Computational and Graphical Statistics's profile →
Citations per field
00.5×1.5×
Journal of Computational and Graphical Statistics · 1×
Citations per year

Countries where authors publish in Statistics and Computing

Since Specialization
Citations

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

Fields of papers published in Statistics and Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistics and Computing. 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 and Computing.

About Statistics and Computing

The 1.8k papers published in Statistics and Computing in the last decades have received a total of 75.4k indexed citations . Papers published in Statistics and Computing usually cover Statistics and Probability (1.1k papers), Artificial Intelligence (910 papers), Statistics, Probability and Uncertainty (185 papers), Computational Mathematics (9 papers) and Management Science and Operations Research (179 papers) specifically the topics of Statistical Methods and Inference (611 papers), Bayesian Methods and Mixture Models (540 papers), Statistical Methods and Bayesian Inference (462 papers), Advanced Statistical Methods and Models (258 papers), Markov Chains and Monte Carlo Methods (193 papers), Gaussian Processes and Bayesian Inference (158 papers), Statistical Distribution Estimation and Applications (134 papers) and Probabilistic and Robust Engineering Design (127 papers). The most active scholars publishing in Statistics and Computing are Ulrike von Luxburg, Bernhard Schölkopf, Alex Smola, Darrell Whitley, Aki Vehtari, Andrew Gelman, Christophe Andrieu, Arnaud Doucet, Nicky Best and David J. Lunn.

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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