Secure Computer Systems: Mathematical Foundations
- Authors
- David E. BellLeonard J. LaPadula
- Journal
- Defense Technical Information Center (DTIC)
In The Last Decade
doi.org/w61737019 →Countries where authors are citing Secure Computer Systems: Mathematical Foundations
This map shows the geographic impact of Secure Computer Systems: Mathematical Foundations. 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 Secure Computer Systems: Mathematical Foundations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Secure Computer Systems: Mathematical Foundations more than expected).
Fields of papers citing Secure Computer Systems: Mathematical Foundations
This network shows the impact of Secure Computer Systems: Mathematical Foundations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Secure Computer Systems: Mathematical Foundations.
About Secure Computer Systems: Mathematical Foundations
This paper, published in 1973, received 565 indexed citations . Written by David E. Bell and Leonard J. LaPadula covering the research area of Information Systems, Political Science and International Relations and Signal Processing. It is primarily cited by scholars working on Artificial Intelligence (427 citations), Sociology and Political Science (250 citations) and Information Systems (249 citations). Published in Defense Technical Information Center (DTIC).
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/w61737019.