Spectral Hashing
- Journal
- neural information processing systems
In The Last Decade
doi.org/w6540680 →Countries where authors are citing Spectral Hashing
This map shows the geographic impact of Spectral Hashing. 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 Spectral Hashing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spectral Hashing more than expected).
Fields of papers citing Spectral Hashing
This network shows the impact of Spectral Hashing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Spectral Hashing.
About Spectral Hashing
This paper, published in 2008, received 1.4k indexed citations . Written by Yair Weiss, Antonio Torralba and Rob Fergus covering the research area of Computational Theory and Mathematics and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (240 citations) and Aerospace Engineering (158 citations). Published in neural information processing systems.
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/w6540680.