Dyadic Data Analysis
- Applied Psychology
- Management Science and Operations Research
- Statistics, Probability and Uncertainty
In The Last Decade
doi.org/w91129847 →Countries where authors are citing Dyadic Data Analysis
This map shows the geographic impact of Dyadic 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 Dyadic 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 Dyadic Data Analysis more than expected).
Fields of papers citing Dyadic Data Analysis
This network shows the impact of Dyadic 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 Dyadic Data Analysis.
About Dyadic Data Analysis
This paper, published in 2006, received 2.7k indexed citations . Written by David A. Kenny, Deborah A. Kashy and William L. Cook covering the research area of Applied Psychology, Management Science and Operations Research and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Social Psychology (1.6k citations), Sociology and Political Science (946 citations) and Clinical Psychology (906 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/w91129847.