Image and depth from a conventional camera with a coded aperture
Impact in
- Media Technology 496
Classified as
In The Last Decade
doi.org/10.1145/1275808.1276464 →Countries where authors are citing Image and depth from a conventional camera with a coded aperture
This map shows the geographic impact of Image and depth from a conventional camera with a coded aperture. 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 Image and depth from a conventional camera with a coded aperture with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Image and depth from a conventional camera with a coded aperture more than expected).
Fields of papers citing Image and depth from a conventional camera with a coded aperture
This network shows the impact of Image and depth from a conventional camera with a coded aperture. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Image and depth from a conventional camera with a coded aperture.
About Image and depth from a conventional camera with a coded aperture
This paper, published in 2007, received 745 indexed citations . Written by Anat Levin, Rob Fergus, Frédo Durand and William T. Freeman covering the research area of Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (644 citations), Media Technology (496 citations), Atomic and Molecular Physics, and Optics (90 citations), Biomedical Engineering (81 citations) and Computational Mechanics (72 citations).
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/10.1145/1275808.1276464.