Knowledge Calibration: What Consumers Know and What They Think They Know

625 indexed citations

Abstract

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About

This paper, published in 2000, received 625 indexed citations. Written by Joseph W. Alba and J. Wesley Hutchinson covering the research area of General Decision Sciences, Marketing and Applied Psychology. It is primarily cited by scholars working on Marketing (285 citations), Sociology and Political Science (202 citations) and Organizational Behavior and Human Resource Management (90 citations). Published in Journal of Consumer Research.

In The Last Decade

doi.org/10.1086/314317 →

Countries where authors are citing Knowledge Calibration: What Consumers Know and What They Think They Know

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Citations

This map shows the geographic impact of Knowledge Calibration: What Consumers Know and What They Think They Know. 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 Knowledge Calibration: What Consumers Know and What They Think They Know with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Knowledge Calibration: What Consumers Know and What They Think They Know more than expected).

Fields of papers citing Knowledge Calibration: What Consumers Know and What They Think They Know

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Knowledge Calibration: What Consumers Know and What They Think They Know. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Knowledge Calibration: What Consumers Know and What They Think They Know.

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/10.1086/314317.

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