Meltdown: reading kernel memory from user space

388 indexed citations

Abstract

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This paper, published in 2018, received 388 indexed citations. Written by Moritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher, Werner Haas, Anders Fogh, Stefan Mangard, Paul Kocher, Daniel Genkin and Yuval Yarom covering the research area of Hardware and Architecture, Artificial Intelligence and Information Systems. It is primarily cited by scholars working on Artificial Intelligence (326 citations), Signal Processing (181 citations) and Hardware and Architecture (135 citations). Published in USENIX Security Symposium.

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Countries where authors are citing Meltdown: reading kernel memory from user space

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This map shows the geographic impact of Meltdown: reading kernel memory from user space. 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 Meltdown: reading kernel memory from user space with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meltdown: reading kernel memory from user space more than expected).

Fields of papers citing Meltdown: reading kernel memory from user space

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Meltdown: reading kernel memory from user space. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Meltdown: reading kernel memory from user space.

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This paper is also available at doi.org/w3785093.

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