Kay G. Schulze

12 papers and 322 indexed citations i.

About

Kay G. Schulze is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Kay G. Schulze has authored 12 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 3 papers in Information Systems. Recurrent topics in Kay G. Schulze’s work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Teaching and Learning Programming (5 papers) and Software Engineering Techniques and Practices (2 papers). Kay G. Schulze is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Teaching and Learning Programming (5 papers) and Software Engineering Techniques and Practices (2 papers). Kay G. Schulze collaborates with scholars based in United States. Kay G. Schulze's co-authors include Robert Shelby, M. C. Wintersgill, Kurt VanLehn, Anders Weinstein, D.J. Treacy, Collin Lynch, Joel A. Shapiro, Abigail S. Gertner, Frances S. Grodzinsky and Patrick R. Harrison and has published in prestigious journals such as Lecture notes in computer science, Military Psychology and Journal of Electronic Publishing.

In The Last Decade

Co-authorship network of co-authors of Kay G. Schulze i

Fields of papers citing papers by Kay G. Schulze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kay G. Schulze

Since Specialization
Citations

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