Norman Shapiro

80 total papers · 1.2k total citations
55 papers, 846 citations indexed

About

Norman Shapiro is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Norman Shapiro has authored 55 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Control and Systems Engineering and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Norman Shapiro's work include Advanced Thermodynamics and Statistical Mechanics (6 papers), Process Optimization and Integration (6 papers) and Computability, Logic, AI Algorithms (5 papers). Norman Shapiro is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (6 papers), Process Optimization and Integration (6 papers) and Computability, Logic, AI Algorithms (5 papers). Norman Shapiro collaborates with scholars based in United States. Norman Shapiro's co-authors include Lloyd S. Shapley, Jon Folkman, George B. Dantzig, Robert H. Anderson, Jerry Aroesty, Thomas Lincoln, James H. Bigelow, James C. DeHaven, Claude E. Shannon and K. de Leeuw and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Chemical Engineering Science and Journal of Theoretical Biology.

In The Last Decade

Norman Shapiro

55 papers receiving 702 citations

Author Peers

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

Author						Papers	Cites
Norman Shapiro	249	120	118	112	79	55	846
M. C. Bartholomew‐Biggs	217 0.9×	227 1.9×	109 0.9×	137 1.2×	60 0.8×	41	811
Yi Wang	159 0.6×	39 0.3×	81 0.7×	63 0.6×	52 0.7×	55	838
Maria C. Mariani	168 0.7×	97 0.8×	49 0.4×	76 0.7×	25 0.3×	78	707
Michel Métivier	127 0.5×	35 0.3×	85 0.7×	98 0.9×	119 1.5×	32	824
Ashok Srinivasan	95 0.4×	31 0.3×	129 1.1×	77 0.7×	73 0.9×	64	940
M. M. Rao	128 0.5×	63 0.5×	123 1.0×	110 1.0×	101 1.3×	85	969
D. J. Hartfiel	306 1.2×	37 0.3×	105 0.9×	85 0.8×	98 1.2×	83	828
Changjun Yu	208 0.8×	212 1.8×	37 0.3×	338 3.0×	134 1.7×	67	773
Stephen C. Billups	458 1.8×	437 3.6×	62 0.5×	151 1.3×	49 0.6×	27	926
Walter A. Rosenkrantz	159 0.6×	45 0.4×	75 0.6×	58 0.5×	172 2.2×	38	1.0k

Countries citing papers authored by Norman Shapiro

Since Specialization

Citations

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

Fields of papers citing papers by Norman Shapiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norman Shapiro. 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 Norman Shapiro. The network helps show where Norman Shapiro may publish in the future.

Co-authorship network of co-authors of Norman Shapiro

This figure shows the co-authorship network connecting the top 25 collaborators of Norman Shapiro. A scholar is included among the top collaborators of Norman Shapiro 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 Norman Shapiro. Norman Shapiro 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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