Hedonic scale method of measuring food preferences.

1.1k indexed citations
published 1957

Countries where authors are citing Hedonic scale method of measuring food preferences.

Specialization
Citations

This map shows the geographic impact of Hedonic scale method of measuring food preferences.. 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 Hedonic scale method of measuring food preferences. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hedonic scale method of measuring food preferences. more than expected).

Fields of papers citing Hedonic scale method of measuring food preferences.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Hedonic scale method of measuring food preferences.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Hedonic scale method of measuring food preferences..

About Hedonic scale method of measuring food preferences.

This paper, published in 1957, received 1.1k indexed citations . Written by David R. Peryam and Francis J. Pilgrim. It is primarily cited by scholars working on Food Science (610 citations), Nutrition and Dietetics (309 citations), Animal Science and Zoology (243 citations), Plant Science (226 citations) and Public Health, Environmental and Occupational Health (127 citations). Published in Food technology.

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/w3788638.

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