Beyond pixels: exploring new representations and applications for motion analysis
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doi.org/w29874535 →Countries where authors are citing Beyond pixels: exploring new representations and applications for motion analysis
This map shows the geographic impact of Beyond pixels: exploring new representations and applications for motion analysis. 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 Beyond pixels: exploring new representations and applications for motion analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beyond pixels: exploring new representations and applications for motion analysis more than expected).
Fields of papers citing Beyond pixels: exploring new representations and applications for motion analysis
This network shows the impact of Beyond pixels: exploring new representations and applications for motion analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Beyond pixels: exploring new representations and applications for motion analysis.
About Beyond pixels: exploring new representations and applications for motion analysis
This paper, published in 2009, received 566 indexed citations . Written by William T. Freeman, Edward H. Adelson and Ce Liu covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (490 citations), Artificial Intelligence (77 citations), Media Technology (64 citations), Signal Processing (50 citations) and Biomedical Engineering (47 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/w29874535.