Kay Uchiyama

6 papers and 229 indexed citations i.

About

Kay Uchiyama is a scholar working on Education, Information Systems and Management and Industrial relations. According to data from OpenAlex, Kay Uchiyama has authored 6 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Education, 2 papers in Information Systems and Management and 0 papers in Industrial relations. Recurrent topics in Kay Uchiyama’s work include Teacher Education and Leadership Studies (3 papers), Educational Assessment and Improvement (2 papers) and Innovative Teaching Methods (2 papers). Kay Uchiyama is often cited by papers focused on Teacher Education and Leadership Studies (3 papers), Educational Assessment and Improvement (2 papers) and Innovative Teaching Methods (2 papers). Kay Uchiyama collaborates with scholars based in United States. Kay Uchiyama's co-authors include Hilda Borko, Rebekah Elliott, Shelby A. Wolf, Ralph A. Smith, Erica Suchman and Ralph C. Smith and has published in prestigious journals such as Teaching and Teacher Education, Educational Evaluation and Policy Analysis and Educational leadership.

In The Last Decade

Co-authorship network of co-authors of Kay Uchiyama i

Fields of papers citing papers by Kay Uchiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kay Uchiyama

Since Specialization
Citations

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