Food Quality and Preference

4.0k papers and 150.6k indexed citations i.

About

The 4.0k papers published in Food Quality and Preference in the last decades have received a total of 150.6k indexed citations. Papers published in Food Quality and Preference usually cover Food Science (2.7k papers), Nutrition and Dietetics (1.0k papers) and Sensory Systems (952 papers) specifically the topics of Sensory Analysis and Statistical Methods (2.3k papers), Biochemical Analysis and Sensing Techniques (990 papers) and Olfactory and Sensory Function Studies (949 papers). The most active scholars publishing in Food Quality and Preference are Wim Verbeke, Charles Spence, Gastón Ares, Sara R. Jaeger, D. Kilcast, Klaus G. Grunert, Michael Siegrist, Liisa Lähteenmäki, Alina S. Szczesniak and Ulrich Hamm.

In The Last Decade

Fields of papers published in Food Quality and Preference

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Food Quality and Preference. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Food Quality and Preference.

Countries where authors publish in Food Quality and Preference

Since Specialization
Citations

This map shows the geographic impact of research published in Food Quality and Preference. 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 published in Food Quality and Preference with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Food Quality and Preference 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.

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