A regularity statistic for medical data analysis
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doi.org/10.1007/bf01619355 →Countries where authors are citing A regularity statistic for medical data analysis
This map shows the geographic impact of A regularity statistic for medical data 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 A regularity statistic for medical data analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A regularity statistic for medical data analysis more than expected).
Fields of papers citing A regularity statistic for medical data analysis
This network shows the impact of A regularity statistic for medical data analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A regularity statistic for medical data analysis.
About A regularity statistic for medical data analysis
This paper, published in 1991, received 591 indexed citations . Written by Steven M. Pincus, Igor M. Gladstone and Richard A. Ehrenkranz covering the research area of Statistical and Nonlinear Physics, Economics and Econometrics and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Cardiology and Cardiovascular Medicine (245 citations), Cognitive Neuroscience (208 citations), Biomedical Engineering (127 citations), Economics and Econometrics (70 citations) and Signal Processing (64 citations). Published in Journal of Clinical Monitoring and Computing.
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/bf01619355.