Paul S. Wang

122 total papers · 1.5k total citations
58 papers, 912 citations indexed

About

Paul S. Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Paul S. Wang has authored 58 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 16 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Paul S. Wang's work include Polynomial and algebraic computation (16 papers), Numerical Methods and Algorithms (8 papers) and Cryptography and Residue Arithmetic (7 papers). Paul S. Wang is often cited by papers focused on Polynomial and algebraic computation (16 papers), Numerical Methods and Algorithms (8 papers) and Cryptography and Residue Arithmetic (7 papers). Paul S. Wang collaborates with scholars based in United States, China and United Kingdom. Paul S. Wang's co-authors include Mustafa Ertunç Tat, Linda Preiss Rothschild, Carl M. Bender, James H. Davenport, Jon H. Van Gerpen, Jon Van Gerpen, Richard Pavelle, Thomas E. Clemente, Eugene V. Zima and Douglas A. Young and has published in prestigious journals such as Mathematics of Computation, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Paul S. Wang

51 papers receiving 779 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paul S. Wang	351	253	149	114	111	58	912
Peter J. Grabner	306 0.9×	207 0.8×	47 0.3×	108 0.9×	43 0.4×	108	991
Markus Hegland	199 0.6×	108 0.4×	60 0.4×	54 0.5×	50 0.5×	103	987
James McKee	462 1.3×	232 0.9×	19 0.1×	63 0.6×	91 0.8×	32	1.2k
Ömer Eğecioǧlu	271 0.8×	288 1.1×	11 0.1×	71 0.6×	63 0.6×	110	1.1k
Richard J. Fateman	378 1.1×	271 1.1×	28 0.2×	64 0.6×	149 1.3×	77	1.1k
Jonathan D. Hauenstein	610 1.7×	42 0.2×	79 0.5×	92 0.8×	11 0.1×	89	1.2k
Norman E. Gibbs	411 1.2×	134 0.5×	20 0.1×	42 0.4×	182 1.6×	31	1.1k
Attila Gyulassy	538 1.5×	59 0.2×	47 0.3×	28 0.2×	54 0.5×	38	1.1k
Francesco Romani	326 0.9×	233 0.9×	49 0.3×	96 0.8×	113 1.0×	76	937
Adolfo Piperno	361 1.0×	318 1.3×	13 0.1×	89 0.8×	49 0.4×	23	862

Countries citing papers authored by Paul S. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Paul S. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul S. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Paul S. Wang. A scholar is included among the top collaborators of Paul S. Wang 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 Paul S. Wang. Paul S. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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