Conservatism in a simple probability inference task.

537 indexed citations

Abstract

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About

This paper, published in 1966, received 537 indexed citations. Written by Lawrence D. Phillips and Ward Edwards covering the research area of Artificial Intelligence and Management Science and Operations Research. It is primarily cited by scholars working on General Decision Sciences (248 citations), Management Science and Operations Research (126 citations) and Artificial Intelligence (119 citations). Published in Journal of Experimental Psychology.

In The Last Decade

doi.org/10.1037/h0023653 →

Countries where authors are citing Conservatism in a simple probability inference task.

Specialization
Citations

This map shows the geographic impact of Conservatism in a simple probability inference task.. 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 Conservatism in a simple probability inference task. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conservatism in a simple probability inference task. more than expected).

Fields of papers citing Conservatism in a simple probability inference task.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Conservatism in a simple probability inference task.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Conservatism in a simple probability inference task..

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/10.1037/h0023653.

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