Statistical Journal of the IAOS

674 papers and 2.7k indexed citations i.

About

The 674 papers published in Statistical Journal of the IAOS in the last decades have received a total of 2.7k indexed citations. Papers published in Statistical Journal of the IAOS usually cover Statistics and Probability (207 papers), Management Science and Operations Research (137 papers) and Sociology and Political Science (135 papers) specifically the topics of Census and Population Estimation (138 papers), demographic modeling and climate adaptation (66 papers) and Data-Driven Disease Surveillance (61 papers). The most active scholars publishing in Statistical Journal of the IAOS are Arthur B. Kennickell, Janet Smylie, Michelle Firestone, Bart Bakker, Graham Wright, Johan van Rooijen, Steve MacFeely, Rob Kitchin, Eileen M. Crimmins and Yasuhiko Saito.

In The Last Decade

Fields of papers published in Statistical Journal of the IAOS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistical Journal of the IAOS. 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 Journal of the IAOS.

Countries where authors publish in Statistical Journal of the IAOS

Since Specialization
Citations

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