National Agricultural Statistics Service

7.9k citations
282 papers ·

Impact in

Papers in

    • Survey Sampling and Estimation Techniques 40
    • Statistical Methods and Bayesian Inference 10
    • Census and Population Estimation 8
    • Remote Sensing in Agriculture 99

National Agricultural Statistics Service

266 papers receiving 7.9k citations

Peers

National Agricultural Statistics Service
Comparison fields: 5 of 175
  • Ecology 3.3k
  • Media Technology 403
  • Global and Planetary Change 866
  • Statistics and Probability 465
  • Environmental Engineering 444
Replace United Nations Department of Economic and Social Affairs with:
United Nations Department of Economic and Social Affairs United States
George Perkins Marsh Institute United States
ForestGEO United States
International Union for Conservation of Nature (United States) United States
Natural Resources Defense Council United States
North Carolina Department of Environmental Quality United States
Ohio Department of Natural Resources United States
Union of Concerned Scientists United States
Centre de la science de la biodiversité du Québec Canada
Cooperative Institute for Climate and Satellites United States
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Citations per field
00.5×5×10×14.8×
United Nations Department of Economic and Social Affairs · 1×
Citations per year

Countries citing scholars working at National Agricultural Statistics Service

Since Specialization
Citations

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

Fields of papers published by authors at National Agricultural Statistics Service

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with National Agricultural Statistics Service 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 National Agricultural Statistics Service at the time of their publication.

About National Agricultural Statistics Service

In recent decades, authors affiliated with National Agricultural Statistics Service have published 282 papers, which have received a total of 7.9k indexed citations . Scholars at this organization have produced 58 papers in Statistics and Probability, 103 papers in Ecology, 19 papers in Environmental Engineering, 8 papers in General Agricultural and Biological Sciences and 10 papers in Agronomy and Crop Science on the topics of Remote Sensing in Agriculture (99 papers), Survey Sampling and Estimation Techniques (40 papers), Survey Methodology and Nonresponse (17 papers), Soil Moisture and Remote Sensing (15 papers), Smart Agriculture and AI (13 papers), Statistical Methods and Bayesian Inference (10 papers), Census and Population Estimation (8 papers) and Remote-Sensing Image Classification (7 papers). Their work is cited by papers focused on Ecology (3.3k citations), Media Technology (403 citations), Global and Planetary Change (866 citations), Statistics and Probability (465 citations) and Environmental Engineering (444 citations). Authors at National Agricultural Statistics Service collaborate with scholars in United States, China and Canada and have published in prestigious journals including Plant Pathology, Remote Sensing, Remote Sensing of Environment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Computers and Electronics in Agriculture. Some of National Agricultural Statistics Service's most productive authors include David Martel Johnson, Zhengwei Yang, Rick Mueller, Claire G. Boryan, Phillip S. Kott, Liping Di, Daniel A. Griffith, Patricia M. Guenther, Martha C. Anderson and Feng Gao.

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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