Quantum detection and estimation theory
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence
- Electrical and Electronic Engineering
- Authors
- Carl W. Helstrom
- Journal
- Journal of Statistical Physics
In The Last Decade
doi.org/10.1007/bf01007479 →Countries where authors are citing Quantum detection and estimation theory
This map shows the geographic impact of Quantum detection and estimation theory. 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 Quantum detection and estimation theory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantum detection and estimation theory more than expected).
Fields of papers citing Quantum detection and estimation theory
This network shows the impact of Quantum detection and estimation theory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantum detection and estimation theory.
About Quantum detection and estimation theory
This paper, published in 1969, received 2.5k indexed citations . Written by Carl W. Helstrom covering the research area of Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. It is primarily cited by scholars working on Artificial Intelligence (2.2k citations), Atomic and Molecular Physics, and Optics (2.1k citations) and Statistical and Nonlinear Physics (320 citations). Published in Journal of Statistical Physics.
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/bf01007479.