Cue Utilization in the Quality Perception Process

604 indexed citations
published 1972

Impact in

Authors
Jerry C. OlsonJacob Jacoby

In The Last Decade

doi.org/w4602586 →

Countries where authors are citing Cue Utilization in the Quality Perception Process

Specialization
Citations

This map shows the geographic impact of Cue Utilization in the Quality Perception Process. 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 Cue Utilization in the Quality Perception Process with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cue Utilization in the Quality Perception Process more than expected).

Fields of papers citing Cue Utilization in the Quality Perception Process

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Cue Utilization in the Quality Perception Process. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Cue Utilization in the Quality Perception Process.

About Cue Utilization in the Quality Perception Process

This paper, published in 1972, received 604 indexed citations . Written by Jerry C. Olson and Jacob Jacoby. It is primarily cited by scholars working on Marketing (404 citations), Food Science (130 citations), Sociology and Political Science (128 citations), Organizational Behavior and Human Resource Management (118 citations) and Plant Science (100 citations).

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/w4602586.

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