Kevin S. McCurley

About

Kevin S. McCurley is a scholar working on Algebra and Number Theory, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kevin S. McCurley has authored 35 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Algebra and Number Theory, 15 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Kevin S. McCurley’s work include Analytic Number Theory Research (18 papers), Coding theory and cryptography (8 papers) and Algebraic Geometry and Number Theory (5 papers). Kevin S. McCurley is often cited by papers focused on Analytic Number Theory Research (18 papers), Coding theory and cryptography (8 papers) and Algebraic Geometry and Number Theory (5 papers). Kevin S. McCurley collaborates with scholars based in United States, Japan and Australia. Kevin S. McCurley's co-authors include James Lee Hafner, John A. Tomlin, Jenny Edwards, Stephen Dill, Andrew Tomkins, Sridhar Rajagopalan, Jeffrey M. Lorch, David S. Blehert, Ravi Kumar and Julia S. Lankton and has published in prestigious journals such as Mathematics of Computation, Transactions of the American Mathematical Society and mBio.

In The Last Decade

Co-authorship network of co-authors of Kevin S. McCurley i

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Fields of papers citing papers by Kevin S. McCurley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin S. McCurley. 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 Kevin S. McCurley. The network helps show where Kevin S. McCurley may publish in the future.

Countries citing papers authored by Kevin S. McCurley

Since Specialization

Citations

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