The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology

279 indexed citations

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This paper, published in 2015, received 279 indexed citations. Written by Russell B. Clayton, Glenn Leshner and Anthony Almond covering the research area of Cognitive Neuroscience, Literature and Literary Theory and Sociology and Political Science. It is primarily cited by scholars working on Sociology and Political Science (224 citations), Education (83 citations) and Applied Psychology (53 citations). Published in Journal of Computer-Mediated Communication.

Countries where authors are citing The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology

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This map shows the geographic impact of The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology. 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 Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology more than expected).

Fields of papers citing The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology.

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/10.1111/jcc4.12109.

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