Institute of Statistical Science, Academia Sinica

1.4k papers and 26.8k indexed citations i.

About

In recent decades, authors affiliated with Institute of Statistical Science, Academia Sinica have published 1.4k papers, which have received a total of 26.8k indexed citations. Scholars at this organization have produced 293 papers in Statistics and Probability, 251 papers in Molecular Biology and 179 papers in Artificial Intelligence on the topics of Statistical Methods and Inference (148 papers), Statistical Methods and Bayesian Inference (92 papers) and Bayesian Methods and Mixture Models (80 papers). Their work is cited by papers focused on Molecular Biology (5.4k citations), Statistics and Probability (3.5k citations) and Artificial Intelligence (2.5k citations). Authors at Institute of Statistical Science, Academia Sinica collaborate with scholars in Taiwan, United States and Japan and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and The Lancet. Some of Institute of Statistical Science, Academia Sinica's most productive authors include Chen-Hung Kao, Hsin‐Cheng Huang, Zhao‐Bang Zeng, Jeng‐Min Chiou, Hsien‐Kuei Hwang, Noel Cressie, Philip E. Cheng, Hsuan‐Yu Chen, Pan‐Chyr Yang and Jing‐Shiang Hwang.

In The Last Decade

Fields of papers published by authors at Institute of Statistical Science, Academia Sinica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Statistical Science, Academia Sinica at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute of Statistical Science, Academia Sinica at the time of their publication.

Countries citing scholars working at Institute of Statistical Science, Academia Sinica

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Statistical Science, Academia 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 produced at Institute of Statistical Science, Academia Sinica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Statistical Science, Academia 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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