ACM Transactions on Architecture and Code Optimization
940 papers
receiving
11.7k citations
Peers
ACM Transactions on Architecture and Code Optimization
Comparison fields: 5 of 120
Hardware and Architecture8.6k
Computer Networks and Communications7.2k
Electrical and Electronic Engineering3.7k
Information Systems2.4k
Artificial Intelligence2.3k
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Citations per field, relative to ACM Transactions on Architecture and Code Optimization
ACM Transactions on Architecture and Code Optimization · 1×
×1.08.2kHA
×1.913.7kCNC
×0.51.8kEEE
×2.14.9kIS
×0.92.1kAI
Citations per year, relative to ACM Transactions on Architecture and Code Optimization
ACM Transactions on Architecture and Code Optimization · 1×
2016
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2021
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Countries where authors publish in ACM Transactions on Architecture and Code Optimization
Since
Specialization
Citations
This map shows the geographic impact of research published in ACM Transactions on Architecture and Code Optimization. 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 papers published in ACM Transactions on Architecture and Code Optimization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Transactions on Architecture and Code Optimization more than expected).
Fields of papers published in ACM Transactions on Architecture and Code Optimization
This network shows the impact of papers published in ACM Transactions on Architecture and Code Optimization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in ACM Transactions on Architecture and Code Optimization.
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.