2012 IEEE Conference on Computer Vision and Pattern Recognition
In The Last Decade
doi.org/w27629211 →Countries where authors are citing 2012 IEEE Conference on Computer Vision and Pattern Recognition
This map shows the geographic impact of 2012 IEEE Conference on Computer Vision and Pattern Recognition. 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 2012 IEEE Conference on Computer Vision and Pattern Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites 2012 IEEE Conference on Computer Vision and Pattern Recognition more than expected).
Fields of papers citing 2012 IEEE Conference on Computer Vision and Pattern Recognition
This network shows the impact of 2012 IEEE Conference on Computer Vision and Pattern Recognition. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the 2012 IEEE Conference on Computer Vision and Pattern Recognition.
About 2012 IEEE Conference on Computer Vision and Pattern Recognition
This paper, published in 2012, received 903 indexed citations . Written by Claudia Loy, Timothy M. Hospedales, Tianyu Xiang and Shiqiang Gong. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (587 citations), Artificial Intelligence (188 citations) and Radiology, Nuclear Medicine and Imaging (110 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/w27629211.