Signal detection theory and ROC analysis
- Authors
- James P. Egan
- Journal
- Academic Press eBooks
In The Last Decade
doi.org/w9564928 →Countries where authors are citing Signal detection theory and ROC analysis
This map shows the geographic impact of Signal detection theory and ROC analysis. 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 Signal detection theory and ROC analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Signal detection theory and ROC analysis more than expected).
Fields of papers citing Signal detection theory and ROC analysis
This network shows the impact of Signal detection theory and ROC analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Signal detection theory and ROC analysis.
About Signal detection theory and ROC analysis
This paper, published in 1975, received 1.2k indexed citations . Written by James P. Egan covering the research area of Control and Systems Engineering and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (329 citations), Cognitive Neuroscience (207 citations) and Molecular Biology (107 citations). Published in Academic Press eBooks.
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/w9564928.