Control flow integrity for COTS binaries
Impact in
Classified as
- Authors
- Mingwei ZhangR. Sekar
- Journal
- USENIX Security Symposium
In The Last Decade
doi.org/w11682561 →Countries where authors are citing Control flow integrity for COTS binaries
This map shows the geographic impact of Control flow integrity for COTS binaries. 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 Control flow integrity for COTS binaries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Control flow integrity for COTS binaries more than expected).
Fields of papers citing Control flow integrity for COTS binaries
This network shows the impact of Control flow integrity for COTS binaries. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Control flow integrity for COTS binaries.
About Control flow integrity for COTS binaries
This paper, published in 2013, received 259 indexed citations . Written by Mingwei Zhang and R. Sekar covering the research area of Information Systems, Artificial Intelligence and Signal Processing. It is primarily cited by scholars working on Artificial Intelligence (244 citations), Signal Processing (210 citations), Computer Networks and Communications (79 citations), Information Systems (60 citations) and Hardware and Architecture (56 citations). Published in USENIX Security Symposium.
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/w11682561.