Statistica Sinica

1.5k papers and 19.3k indexed citations i.

About

The 1.5k papers published in Statistica Sinica in the last decades have received a total of 19.3k indexed citations. Papers published in Statistica Sinica usually cover Statistics and Probability (933 papers), Artificial Intelligence (387 papers) and Management Science and Operations Research (177 papers) specifically the topics of Statistical Methods and Inference (711 papers), Statistical Methods and Bayesian Inference (354 papers) and Advanced Statistical Methods and Models (294 papers). The most active scholars publishing in Statistica Sinica are Ingrid Lönnstedt, Robert E. McCulloch, Edward I. George, Matthew J. Callow, Jean Yang, Sandrine Dudoit, Terence P. Speed, Jian Huang, Jan Hannig and Nancy Reid.

In The Last Decade

Fields of papers published in Statistica Sinica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistica Sinica. 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 Statistica Sinica.

Countries where authors publish in Statistica Sinica

Since Specialization
Citations

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