Spatial Augmented Reality: Merging Real and Virtual Worlds

431 indexed citations

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This paper, published in 2005, received 431 indexed citations. Written by Oliver Bimber and Ramesh Raskar covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (331 citations), Human-Computer Interaction (248 citations) and Aerospace Engineering (56 citations). Published in CERN Bulletin.

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Countries where authors are citing Spatial Augmented Reality: Merging Real and Virtual Worlds

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This map shows the geographic impact of Spatial Augmented Reality: Merging Real and Virtual Worlds. 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 Spatial Augmented Reality: Merging Real and Virtual Worlds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spatial Augmented Reality: Merging Real and Virtual Worlds more than expected).

Fields of papers citing Spatial Augmented Reality: Merging Real and Virtual Worlds

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Spatial Augmented Reality: Merging Real and Virtual Worlds. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Spatial Augmented Reality: Merging Real and Virtual Worlds.

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/w84302104.

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