Diffusion Kernels on Graphs and Other Discrete Input Spaces
- Authors
- Risi KondorJohn Lafferty
- Journal
- International Conference on Machine Learning
In The Last Decade
doi.org/w7621681 →Countries where authors are citing Diffusion Kernels on Graphs and Other Discrete Input Spaces
This map shows the geographic impact of Diffusion Kernels on Graphs and Other Discrete Input Spaces. 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 Diffusion Kernels on Graphs and Other Discrete Input Spaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diffusion Kernels on Graphs and Other Discrete Input Spaces more than expected).
Fields of papers citing Diffusion Kernels on Graphs and Other Discrete Input Spaces
This network shows the impact of Diffusion Kernels on Graphs and Other Discrete Input Spaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Diffusion Kernels on Graphs and Other Discrete Input Spaces.
About Diffusion Kernels on Graphs and Other Discrete Input Spaces
This paper, published in 2002, received 462 indexed citations . Written by Risi Kondor and John Lafferty covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Artificial Intelligence (234 citations), Computer Vision and Pattern Recognition (158 citations) and Molecular Biology (118 citations). Published in International Conference on Machine Learning.
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/w7621681.