Jay Noell

6 papers and 253 indexed citations i.

About

Jay Noell is a scholar working on Education, Management Science and Operations Research and Demography. According to data from OpenAlex, Jay Noell has authored 6 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 2 papers in Management Science and Operations Research and 2 papers in Demography. Recurrent topics in Jay Noell’s work include School Choice and Performance (6 papers), Higher Education Research Studies (2 papers) and Global Educational Reforms and Inequalities (2 papers). Jay Noell is often cited by papers focused on School Choice and Performance (6 papers), Higher Education Research Studies (2 papers) and Global Educational Reforms and Inequalities (2 papers). Jay Noell collaborates with scholars based in United States. Jay Noell's co-authors include Edward P. St. John, Rita J. Kirshstein and Alan Ginsburg and has published in prestigious journals such as Sociology of Education, Research in Higher Education and Educational Evaluation and Policy Analysis.

In The Last Decade

Co-authorship network of co-authors of Jay Noell i

Fields of papers citing papers by Jay Noell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Noell

Since Specialization
Citations

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