Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature
In The Last Decade
doi.org/10.2196/25499 →Countries where authors are citing Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature
This map shows the geographic impact of Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature. 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 Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature more than expected).
Fields of papers citing Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature
This network shows the impact of Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature.
About Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature
This paper, published in 2021, received 232 indexed citations . Written by Andy Wai Kan Yeung, Anela Tosevska, Elisabeth Klager, Fabian Eibensteiner, Daniel Laxar, Jivko Stoyanov, Marija Glišić, Sebastian Zeiner, Stefan Tino Kulnik and Rik Crutzen covering the research area of Biomedical Engineering, Surgery and Human-Computer Interaction. It is primarily cited by scholars working on Surgery (77 citations), Computer Vision and Pattern Recognition (67 citations) and Human-Computer Interaction (65 citations). Published in Journal of Medical Internet Research.
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/10.2196/25499.