A theory of self-calibration of a moving camera
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doi.org/10.1007/bf00127171 →Countries where authors are citing A theory of self-calibration of a moving camera
This map shows the geographic impact of A theory of self-calibration of a moving camera. 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 A theory of self-calibration of a moving camera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A theory of self-calibration of a moving camera more than expected).
Fields of papers citing A theory of self-calibration of a moving camera
This network shows the impact of A theory of self-calibration of a moving camera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A theory of self-calibration of a moving camera.
About A theory of self-calibration of a moving camera
This paper, published in 1992, received 532 indexed citations . Written by Stephen J. Maybank and Olivier Faugeras covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (511 citations), Media Technology (182 citations) and Aerospace Engineering (176 citations). Published in International Journal of Computer Vision.
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/10.1007/bf00127171.