Statistics New Zealand

1.0k papers and 27.1k indexed citations i.

About

In recent decades, authors affiliated with Statistics New Zealand have published 1.0k papers, which have received a total of 27.1k indexed citations. Scholars at this organization have produced 103 papers in Atmospheric Science, 85 papers in Plant Science and 85 papers in Global and Planetary Change on the topics of Scientific Measurement and Uncertainty Evaluation (49 papers), Climate variability and models (48 papers) and Calibration and Measurement Techniques (43 papers). Their work is cited by papers focused on Pollution (4.0k citations), Industrial and Manufacturing Engineering (2.8k citations) and Global and Planetary Change (2.4k 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 Physical Review Letters. Some of Statistics New Zealand's most productive authors include Trevor H. Worthy, D. R. White, John Buckleton, Richard N. Holdaway and Jo‐Anne Bright.

In The Last Decade

Fields of papers published by authors at Statistics New Zealand

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers affiliated with Statistics New Zealand at the time of their publication. Nodes represent fields, and links connect fields that are likely to share authors.

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 by CCL
2025