Computer Architecture: A Quantitative Approach
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w79561633 →Countries where authors are citing Computer Architecture: A Quantitative Approach
This map shows the geographic impact of Computer Architecture: A Quantitative Approach. 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 Computer Architecture: A Quantitative Approach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Architecture: A Quantitative Approach more than expected).
Fields of papers citing Computer Architecture: A Quantitative Approach
This network shows the impact of Computer Architecture: A Quantitative Approach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Computer Architecture: A Quantitative Approach.
About Computer Architecture: A Quantitative Approach
This paper, published in 1989, received 6.1k indexed citations . Written by John L. Hennessy and David A. Patterson. It is primarily cited by scholars working on Hardware and Architecture (4.3k citations), Computer Networks and Communications (3.5k citations) and Electrical and Electronic Engineering (1.5k citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w79561633.