Immersive virtual environment technology as a basic research tool in psychology

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This paper, published in 1950, received 521 indexed citations. Written by Jack M. Loomis, James J. Blascovich and Andrew C. Beall covering the research area of Cognitive Neuroscience, Automotive Engineering and Human-Computer Interaction. It is primarily cited by scholars working on Human-Computer Interaction (264 citations), Social Psychology (152 citations) and Cognitive Neuroscience (145 citations). Published in Behavior Research Methods, Instruments, & Computers.

Countries where authors are citing Immersive virtual environment technology as a basic research tool in psychology

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This map shows the geographic impact of Immersive virtual environment technology as a basic research tool in psychology. 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 Immersive virtual environment technology as a basic research tool in psychology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Immersive virtual environment technology as a basic research tool in psychology more than expected).

Fields of papers citing Immersive virtual environment technology as a basic research tool in psychology

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Immersive virtual environment technology as a basic research tool in psychology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Immersive virtual environment technology as a basic research tool in psychology.

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/10.3758/bf03200735.

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