A comparison of 12 algorithms for matching on the propensity score
Abstract
loading...
About
In The Last Decade
doi.org/10.1002/sim.6004 →Countries where authors are citing A comparison of 12 algorithms for matching on the propensity score
This map shows the geographic impact of A comparison of 12 algorithms for matching on the propensity score. 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 comparison of 12 algorithms for matching on the propensity score with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A comparison of 12 algorithms for matching on the propensity score more than expected).
Fields of papers citing A comparison of 12 algorithms for matching on the propensity score
This network shows the impact of A comparison of 12 algorithms for matching on the propensity score. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A comparison of 12 algorithms for matching on the propensity score.
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/10.1002/sim.6004.