The “identified victim” effect: an identified group, or just a single individual?

511 indexed citations

Abstract

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About

This paper, published in 2005, received 511 indexed citations. Written by Tehila Kogut and Ilana Ritov covering the research area of Cognitive Neuroscience and Sociology and Political Science. It is primarily cited by scholars working on Sociology and Political Science (282 citations), Cognitive Neuroscience (167 citations) and Social Psychology (153 citations). Published in Journal of Behavioral Decision Making.

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doi.org/10.1002/bdm.492 →

Countries where authors are citing The “identified victim” effect: an identified group, or just a single individual?

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Citations

This map shows the geographic impact of The “identified victim” effect: an identified group, or just a single individual?. 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 The “identified victim” effect: an identified group, or just a single individual? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The “identified victim” effect: an identified group, or just a single individual? more than expected).

Fields of papers citing The “identified victim” effect: an identified group, or just a single individual?

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The “identified victim” effect: an identified group, or just a single individual?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The “identified victim” effect: an identified group, or just a single individual?.

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/10.1002/bdm.492.

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