Communications in Statistics - Simulation and Computation
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In The Last Decade
Communications in Statistics - Simulation and Computation
4.7k papers receiving 44.9k citations
Fields of papers published in Communications in Statistics - Simulation and Computation
This network shows the impact of papers published in Communications in Statistics - Simulation and Computation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Communications in Statistics - Simulation and Computation.
Countries where authors publish in Communications in Statistics - Simulation and Computation
This map shows the geographic impact of research published in Communications in Statistics - Simulation and Computation. 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 papers published in Communications in Statistics - Simulation and Computation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Communications in Statistics - Simulation and Computation more than expected).
- Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research (2009)
- A distribution-free approach to inducing rank correlation among input variables (1982)
- On the efficiency of using the sample kurtosis in selecting optimal l<sub>p</sub>estimators (1983)
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.