Architectural styles and the design of network-based software architectures

3.0k indexed citations

Abstract

loading...

About

This paper, published in 2000, received 3.0k indexed citations. Written by Roy T. Fielding and Richard N. Taylor covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Information Systems (1.6k citations), Computer Networks and Communications (1.6k citations) and Artificial Intelligence (904 citations). Published in Medical Entomology and Zoology.

In The Last Decade

doi.org/w67057214 →

Countries where authors are citing Architectural styles and the design of network-based software architectures

Specialization
Citations

This map shows the geographic impact of Architectural styles and the design of network-based software architectures. 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 Architectural styles and the design of network-based software architectures with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Architectural styles and the design of network-based software architectures more than expected).

Fields of papers citing Architectural styles and the design of network-based software architectures

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Architectural styles and the design of network-based software architectures. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Architectural styles and the design of network-based software architectures.

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/w67057214.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026