Design and implementation of a TCG-based integrity measurement architecture
- Journal
- USENIX Security Symposium
In The Last Decade
doi.org/w12989574 →Countries where authors are citing Design and implementation of a TCG-based integrity measurement architecture
This map shows the geographic impact of Design and implementation of a TCG-based integrity measurement architecture. 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 Design and implementation of a TCG-based integrity measurement architecture with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Design and implementation of a TCG-based integrity measurement architecture more than expected).
Fields of papers citing Design and implementation of a TCG-based integrity measurement architecture
This network shows the impact of Design and implementation of a TCG-based integrity measurement architecture. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Design and implementation of a TCG-based integrity measurement architecture.
About Design and implementation of a TCG-based integrity measurement architecture
This paper, published in 2004, received 651 indexed citations . Written by Reiner Sailer, Xiaolan Zhang, Trent Jaeger and Leendert van Doorn covering the research area of Information Systems, Artificial Intelligence and Sociology and Political Science. It is primarily cited by scholars working on Artificial Intelligence (563 citations), Information Systems (430 citations) and Signal Processing (259 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/w12989574.