Mary S. Maggio

557 total citations
11 papers, 457 citations indexed

About

Mary S. Maggio is a scholar working on Analytical Chemistry, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mary S. Maggio has authored 11 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Analytical Chemistry, 2 papers in Computer Networks and Communications and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mary S. Maggio's work include Spectroscopy and Chemometric Analyses (4 papers), Sensor Technology and Measurement Systems (2 papers) and Dye analysis and toxicity (2 papers). Mary S. Maggio is often cited by papers focused on Spectroscopy and Chemometric Analyses (4 papers), Sensor Technology and Measurement Systems (2 papers) and Dye analysis and toxicity (2 papers). Mary S. Maggio collaborates with scholars based in United States, Italy and France. Mary S. Maggio's co-authors include William H. Lawton, E. A. Sylvestre, Richard L. Reeves, Robert Kaiser, David E. Metzler, Olivia Pulci, Joanna Łojewska, Dominika Pawcenis, Adriano Mosca Conte and Mauro Missori and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Technometrics.

In The Last Decade

Mary S. Maggio

11 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary S. Maggio United States	9	139	91	87	61	60	11	457
Robert J. Obremski United States	12	220 1.6×	54 0.6×	142 1.6×	45 0.7×	16 0.3×	17	562
Mark Hilary Van Benthem United States	14	155 1.1×	98 1.1×	103 1.2×	140 2.3×	12 0.2×	31	737
Tomoo Aoyama Japan	9	102 0.7×	78 0.9×	142 1.6×	63 1.0×	7 0.1×	42	482
Wendell F. Smith United States	11	24 0.2×	125 1.4×	41 0.5×	74 1.2×	29 0.5×	19	390
Thomas M. Rossi United States	12	116 0.8×	19 0.2×	109 1.3×	13 0.2×	7 0.1×	26	347
Karl Molt Germany	13	335 2.4×	45 0.5×	159 1.8×	50 0.8×	4 0.1×	45	664
Bartlomiej Kowalski United States	8	174 1.3×	16 0.2×	93 1.1×	28 0.5×	9 0.1×	14	459
Maria Luisa Ganadu Italy	15	66 0.5×	131 1.4×	69 0.8×	101 1.7×	4 0.1×	44	647
Donald B. Siano United States	14	42 0.3×	232 2.5×	131 1.5×	217 3.6×	7 0.1×	29	870
Gregory A. Bakken United States	13	77 0.6×	82 0.9×	229 2.6×	195 3.2×	11 0.2×	18	900

Countries citing papers authored by Mary S. Maggio

Since Specialization

Citations

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

Fields of papers citing papers by Mary S. Maggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary S. Maggio

This figure shows the co-authorship network connecting the top 25 collaborators of Mary S. Maggio. A scholar is included among the top collaborators of Mary S. Maggio 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 Mary S. Maggio. Mary S. Maggio 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

Missori, Mauro, Dominika Pawcenis, J. Bagniuk, et al.. (2018). Quantitative diagnostics of ancient paper using THz time-domain spectroscopy. Microchemical Journal. 142. 54–61. 9 indexed citations

Reeves, Richard L., et al.. (1985). Application of factor analysis to the spectrophotometric determination of formation constants of complexes of nickel(II) with tridentate dyes. Inorganic Chemistry. 24(5). 738–744. 4 indexed citations

Reeves, Richard L., et al.. (1979). A critical spectrophotometric analysis of the dimerization of some ionic azo dyes in aqueous solution. The Journal of Physical Chemistry. 83(18). 2359–2368. 50 indexed citations

Metzler, David E., et al.. (1977). Digital analysis of electronic absorption spectra. Analytical Chemistry. 49(11). 864A–874A. 22 indexed citations

Metzler, David E., et al.. (1977). Digital Analysis of Electronic Absorption Spectre. Analytical Chemistry. 49(11). 865A–874A. 2 indexed citations

Sylvestre, E. A., William H. Lawton, & Mary S. Maggio. (1974). Curve Resolution Using a Postulated Chemical Reaction. Technometrics. 16(3). 353–368. 125 indexed citations

Reeves, Richard L., et al.. (1974). Importance of solvent cohesion and structure in solvent effects on binding site probes. Journal of the American Chemical Society. 96(18). 5917–5925. 29 indexed citations

Sylvestre, E. A., William H. Lawton, & Mary S. Maggio. (1974). Curve Resolution Using a Postulated Chemical Reaction. Technometrics. 16(3). 353–353. 23 indexed citations

Reeves, Richard L., Robert Kaiser, Mary S. Maggio, E. A. Sylvestre, & William H. Lawton. (1973). Analysis of the Visual Spectrum of Methyl Orange in Solvents and in Hydrophobic Binding Sites. Canadian Journal of Chemistry. 51(4). 628–635. 59 indexed citations

10.

Lawton, William H., E. A. Sylvestre, & Mary S. Maggio. (1972). Self Modeling Nonlinear Regression. Technometrics. 14(3). 513–513. 22 indexed citations

11.

Lawton, William H., E. A. Sylvestre, & Mary S. Maggio. (1972). Self Modeling Nonlinear Regression. Technometrics. 14(3). 513–532. 112 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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