John P. May

4 papers and 159 indexed citations i.

About

John P. May is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing. According to data from OpenAlex, John P. May has authored 4 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 1 paper in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in John P. May’s work include Polynomial and algebraic computation (3 papers), Numerical Methods and Algorithms (2 papers) and Formal Methods in Verification (2 papers). John P. May is often cited by papers focused on Polynomial and algebraic computation (3 papers), Numerical Methods and Algorithms (2 papers) and Formal Methods in Verification (2 papers). John P. May collaborates with scholars based in China, Canada and United Kingdom. John P. May's co-authors include Zhengfeng Yang, Lihong Zhi, Erich Kaltofen, James H. Davenport, Changbo Chen, Rong Xiao, Marc Moreno Maza and Bican Xia and has published in prestigious journals such as Journal of Symbolic Computation, arXiv (Cornell University) and Association for Computing Machinery eBooks.

In The Last Decade

Co-authorship network of co-authors of John P. May i

Fields of papers citing papers by John P. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. May. 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 John P. May. The network helps show where John P. May may publish in the future.

Countries citing papers authored by John P. May

Since Specialization
Citations

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