Kim May

19 papers and 680 indexed citations i.

About

Kim May is a scholar working on Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Kim May has authored 19 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 5 papers in Statistics and Probability and 4 papers in Computer Networks and Communications. Recurrent topics in Kim May’s work include Measurement Invariance in Structural Equation Modeling (7 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Statistical Modeling Techniques (4 papers). Kim May is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (7 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Statistical Modeling Techniques (4 papers). Kim May collaborates with scholars based in United States. Kim May's co-authors include James B. Hittner, N. Clayton Silver, Brian K. Sullivan, Joseph Lee Rodgers, David Rowe, W. Alan Nicewander, William H. Beasley, S. Mason Garrison, Warren B. Miller and Amber Johnson and has published in prestigious journals such as Educational and Psychological Measurement, Molecular Ecology Resources and Behavior Genetics.

In The Last Decade

Co-authorship network of co-authors of Kim May i

Fields of papers citing papers by Kim May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim May. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kim May. The network helps show where Kim May may publish in the future.

Countries citing papers authored by Kim May

Since Specialization
Citations

This map shows the geographic impact of Kim May's research. 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 Kim May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim May more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025