Event-based broadcasting for multi-agent average consensus

970 indexed citations

Abstract

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About

This paper, published in 2012, received 970 indexed citations. Written by Georg S. Seyboth, Dimos V. Dimarogonas and Karl Henrik Johansson covering the research area of Control and Systems Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (884 citations), Control and Systems Engineering (482 citations) and Electrical and Electronic Engineering (214 citations). Published in Automatica.

Countries where authors are citing Event-based broadcasting for multi-agent average consensus

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Citations

This map shows the geographic impact of Event-based broadcasting for multi-agent average consensus. 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 Event-based broadcasting for multi-agent average consensus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Event-based broadcasting for multi-agent average consensus more than expected).

Fields of papers citing Event-based broadcasting for multi-agent average consensus

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Event-based broadcasting for multi-agent average consensus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Event-based broadcasting for multi-agent average consensus.

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/10.1016/j.automatica.2012.08.042.

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