Replace Proceedings of the ACM on Measurement and Analysis of Computing Systems with:
Proceedings of the ACM on Measurement and Analysis of Computing SystemsUnited States
ACM Transactions on Autonomous and Adaptive SystemsUnited States
Journal of Internet Services and ApplicationsBrazil
IEEE Cloud ComputingUnited States
International Journal of Web and Grid ServicesChina
ACM SIGBED ReviewUnited States
Human-centric Computing and Information SciencesSouth Korea
Big Data ResearchChina
IEEE Distributed Systems OnlineUnited States
Information Security Journal A Global PerspectiveIndia
Proceedings of the ACM on Measurement and Analysis of Computing SystemsUnited StatesView profile →
Citations per field, relative to Computer Science - Research and Development
Computer Science - Research and Development · 1×
×0.4810IS
×1.01.8kCNC
×0.6733EEE
×0.3327HA
×1.21.0kAI
Citations per year, relative to Computer Science - Research and Development
Computer Science - Research and Development · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in Computer Science - Research and Development
Since
Specialization
Citations
This map shows the geographic impact of research published in Computer Science - Research and Development. 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 Computer Science - Research and Development with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Science - Research and Development more than expected).
Fields of papers published in Computer Science - Research and Development
This network shows the impact of papers published in Computer Science - Research and Development. 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 Computer Science - Research and Development.
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.