Small-gain theorem for ISS systems and applications

996 indexed citations

Abstract

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About

This paper, published in 1994, received 996 indexed citations. Written by Andrew R. Teel and Laurent Praly covering the research area of Control and Systems Engineering. It is primarily cited by scholars working on Control and Systems Engineering (900 citations), Computer Networks and Communications (208 citations) and Computational Theory and Mathematics (92 citations). Published in Mathematics of Control Signals and Systems.

Countries where authors are citing Small-gain theorem for ISS systems and applications

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This map shows the geographic impact of Small-gain theorem for ISS systems and applications. 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 Small-gain theorem for ISS systems and applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Small-gain theorem for ISS systems and applications more than expected).

Fields of papers citing Small-gain theorem for ISS systems and applications

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Small-gain theorem for ISS systems and applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Small-gain theorem for ISS systems and applications.

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/10.1007/bf01211469.

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