Estimation theory with applications to communications and control
- Authors
- Andrew P. SageJames L. Melsa
In The Last Decade
doi.org/w75478223 →Countries where authors are citing Estimation theory with applications to communications and control
This map shows the geographic impact of Estimation theory with applications to communications and control. 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 Estimation theory with applications to communications and control with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estimation theory with applications to communications and control more than expected).
Fields of papers citing Estimation theory with applications to communications and control
This network shows the impact of Estimation theory with applications to communications and control. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Estimation theory with applications to communications and control.
About Estimation theory with applications to communications and control
This paper, published in 1979, received 443 indexed citations . Written by Andrew P. Sage and James L. Melsa. It is primarily cited by scholars working on Artificial Intelligence (200 citations), Control and Systems Engineering (173 citations) and Aerospace Engineering (73 citations).
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/w75478223.