Distributed observers design for leader-following control of multi-agent networks
- Journal
- Automatica
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doi.org/10.1016/j.automatica.2007.07.004 →Countries where authors are citing Distributed observers design for leader-following control of multi-agent networks
This map shows the geographic impact of Distributed observers design for leader-following control of multi-agent networks. 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 Distributed observers design for leader-following control of multi-agent networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Distributed observers design for leader-following control of multi-agent networks more than expected).
Fields of papers citing Distributed observers design for leader-following control of multi-agent networks
This network shows the impact of Distributed observers design for leader-following control of multi-agent networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Distributed observers design for leader-following control of multi-agent networks.
About Distributed observers design for leader-following control of multi-agent networks
This paper, published in 2007, received 912 indexed citations . Written by Yiguang Hong, Guanrong Chen and Linda Bushnell 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 (880 citations), Control and Systems Engineering (440 citations) and Public Health, Environmental and Occupational Health (184 citations). Published in Automatica.
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.2007.07.004.