John P. May

432 total citations
11 papers, 230 citations indexed

About

John P. May is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, John P. May has authored 11 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 2 papers in Numerical Analysis. Recurrent topics in John P. May's work include Polynomial and algebraic computation (8 papers), Numerical Methods and Algorithms (4 papers) and Coding theory and cryptography (2 papers). John P. May is often cited by papers focused on Polynomial and algebraic computation (8 papers), Numerical Methods and Algorithms (4 papers) and Coding theory and cryptography (2 papers). John P. May collaborates with scholars based in United States, China and Canada. John P. May's co-authors include Erich Kaltofen, Lihong Zhi, Zhengfeng Yang, Shuhong Gao, Changbo Chen, Marc Moreno Maza, Bican Xia, Rong Xiao, James H. Davenport and David Saunders and has published in prestigious journals such as Journal of Symbolic Computation, NCSU Libraries Repository (North Carolina State University Libraries) and Association for Computing Machinery eBooks.

In The Last Decade

John P. May

11 papers receiving 221 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John P. May United States	7	183	61	49	42	33	11	230
Masayuki Noro Japan	7	155 0.8×	35 0.6×	49 1.0×	90 2.1×	83 2.5×	25	245
Tateaki Sasaki Japan	12	312 1.7×	106 1.7×	99 2.0×	35 0.8×	17 0.5×	45	367
Irina A. Kogan United States	9	55 0.3×	57 0.9×	38 0.8×	62 1.5×	34 1.0×	19	277
Heinz Kredel Germany	6	198 1.1×	51 0.8×	40 0.8×	92 2.2×	113 3.4×	25	304
Alin Bostan France	10	180 1.0×	27 0.4×	107 2.2×	66 1.6×	35 1.1×	28	272
Térésa Krick Argentina	11	249 1.4×	90 1.5×	46 0.9×	122 2.9×	122 3.7×	29	344
Pablo Solernó Argentina	9	197 1.1×	55 0.9×	37 0.8×	66 1.6×	83 2.5×	22	244
John Abbott Italy	7	107 0.6×	34 0.6×	47 1.0×	15 0.4×	33 1.0×	23	152
Jean-Claude Yakoubsohn France	9	169 0.9×	85 1.4×	21 0.4×	28 0.7×	13 0.4×	17	227
Barry H. Dayton United States	7	175 1.0×	79 1.3×	9 0.2×	59 1.4×	77 2.3×	13	242

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of John P. May. A scholar is included among the top collaborators of John P. May based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John P. May. John P. May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Chen, Changbo, James H. Davenport, John P. May, et al.. (2011). Triangular decomposition of semi-algebraic systems. Journal of Symbolic Computation. 49. 3–26. 21 indexed citations

2.

Chen, Changbo, James H. Davenport, John P. May, et al.. (2010). Triangular decomposition of semi-algebraic systems. 187–194. 14 indexed citations

3.

May, John P.. (2009). ISSAC 2009 : proceedings of the 2009 international symposium on symbolic and algebraic computation. Association for Computing Machinery eBooks. 74 indexed citations

4.

Chen, Changbo, James H. Davenport, John P. May, et al.. (2009). User interface design for geometrical decomposition algorithms in Maple. 1 indexed citations

5.

May, John P.. (2009). ISSAC 2009: International Symposium on Symbolic and Algebraic Computation. Dialnet (Universidad de la Rioja). 6 indexed citations

6.

Kaltofen, Erich, John P. May, Zhengfeng Yang, & Lihong Zhi. (2007). Approximate factorization of multivariate polynomials using singular value decomposition. Journal of Symbolic Computation. 43(5). 359–376. 34 indexed citations

7.

May, John P., et al.. (2007). Efficient matrix rank computation with application to the study of strongly regular graphs. 277–284. 9 indexed citations

8.

May, John P., B. David Saunders, & David Harlan Wood. (2007). Numerical techniques for computing the inertia of products of matrices of rational numbers. 125–132. 1 indexed citations

9.

May, John P.. (2005). Approximate Factorization of Polynomials in Many Variables and Other Problems in Approximate Algebra via Singular Value Decomposition Methods. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations

10.

Gao, Shuhong, Erich Kaltofen, John P. May, Zhengfeng Yang, & Lihong Zhi. (2004). Approximate factorization of multivariate polynomials via differential equations. 167–174. 47 indexed citations

11.

Kaltofen, Erich & John P. May. (2003). On approximate irreducibility of polynomials in several variables. 161–168. 21 indexed citations

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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