Statistics New Zealand

2.0k papers and 46.2k indexed citations

About

In recent decades, authors affiliated with Statistics New Zealand have published 2.0k papers, which have received a total of 46.2k indexed citations. Scholars at this organization have produced 194 papers in Ecology, 155 papers in Global and Planetary Change and 150 papers in Plant Science on the topics of Ruminant Nutrition and Digestive Physiology (71 papers), Geology and Paleoclimatology Research (60 papers) and Scientific Measurement and Uncertainty Evaluation (58 papers). Their work is cited by papers focused on Ecology (5.5k citations), Pollution (4.7k citations) and Global and Planetary Change (4.2k citations). Authors at Statistics New Zealand collaborate with scholars in New Zealand, United States and Australia and have published in prestigious journals including Nature, Science and The Lancet. Some of Statistics New Zealand's most productive authors include Marti J. Anderson, Robert B. Davies, Peter Whittle, Trevor H. Worthy, R. A. Wooding, Laurent Lebreton, Marcus Eriksen, François Galgani, B. D. Hall and Henry S. Carson.

In The Last Decade

Statistics New Zealand

1.8k papers receiving 44.9k citations

Fields of papers published by authors at Statistics New Zealand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Statistics New Zealand 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 Statistics New Zealand at the time of their publication.

Countries citing scholars working at Statistics New Zealand

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Statistics New Zealand. 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 Statistics New Zealand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics New Zealand 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.

Explore institutions with similar magnitude of impact

Rankless by CCL
2026