Paige Bailey

2 papers and 10 indexed citations i.

About

Paige Bailey is a scholar working on Artificial Intelligence, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paige Bailey has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Oncology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Paige Bailey’s work include COVID-19 and healthcare impacts (1 paper), Patient Satisfaction in Healthcare (1 paper) and Natural Language Processing Techniques (1 paper). Paige Bailey is often cited by papers focused on COVID-19 and healthcare impacts (1 paper), Patient Satisfaction in Healthcare (1 paper) and Natural Language Processing Techniques (1 paper). Paige Bailey collaborates with scholars based in United States. Paige Bailey's co-authors include Susan M. Fernandes, Ewen Wang, Stephanie M. Smith, Eli M. Cahan, Sejal Shah, Ananta Addala, Lisa Chamberlain, Paul H. Wise, Olga Saynina and Henryk Michalewski and has published in prestigious journals such as Academic Pediatrics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Paige Bailey i

Fields of papers citing papers by Paige Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paige Bailey

Since Specialization
Citations

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