Sam Zhang

11 papers and 241 indexed citations i.

About

Sam Zhang is a scholar working on Statistics, Probability and Uncertainty, Gender Studies and Modeling and Simulation. According to data from OpenAlex, Sam Zhang has authored 11 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics, Probability and Uncertainty, 3 papers in Gender Studies and 2 papers in Modeling and Simulation. Recurrent topics in Sam Zhang’s work include scientometrics and bibliometrics research (3 papers), Gender Diversity and Inequality (2 papers) and COVID-19 epidemiological studies (2 papers). Sam Zhang is often cited by papers focused on scientometrics and bibliometrics research (3 papers), Gender Diversity and Inequality (2 papers) and COVID-19 epidemiological studies (2 papers). Sam Zhang collaborates with scholars based in United States, China and Brazil. Sam Zhang's co-authors include Daniel B. Larremore, Aaron Clauset, Bailey K. Fosdick, Caroline O. Buckee, C. Jessica E. Metcalf, Yonatan H. Grad, Allison C. Morgan, Kate M. Bubar, Zhiming Zheng and Weihua Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Sam Zhang i

Fields of papers citing papers by Sam Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Zhang. 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 Sam Zhang. The network helps show where Sam Zhang may publish in the future.

Countries citing papers authored by Sam Zhang

Since Specialization
Citations

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

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2025