National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
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doi.org/w58269356 →Countries where authors are citing National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
This map shows the geographic impact of National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.. 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 National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures. more than expected).
Fields of papers citing National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
This network shows the impact of National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures..
About National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
This paper, published in 2020, received 371 indexed citations . Written by Te‐Ching Chen, Jason Clark, Minsun Riddles, Leyla Mohadjer and Tala H.I. Fakhouri covering the research area of Economics and Econometrics. It is primarily cited by scholars working on Public Health, Environmental and Occupational Health (120 citations), Physiology (86 citations) and Epidemiology (86 citations). Published in PubMed.
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.
This paper is also available at doi.org/w58269356.