Michael G. Legendre

18 total papers · 780 total citations
13 papers, 546 citations indexed

About

Michael G. Legendre is a scholar working on Animal Science and Zoology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Michael G. Legendre has authored 13 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Animal Science and Zoology, 4 papers in Spectroscopy and 4 papers in Biomedical Engineering. Recurrent topics in Michael G. Legendre's work include Meat and Animal Product Quality (5 papers), Advanced Chemical Sensor Technologies (4 papers) and Analytical Chemistry and Chromatography (4 papers). Michael G. Legendre is often cited by papers focused on Meat and Animal Product Quality (5 papers), Advanced Chemical Sensor Technologies (4 papers) and Analytical Chemistry and Chromatography (4 papers). Michael G. Legendre collaborates with scholars based in United States. Michael G. Legendre's co-authors include Allen J. St. Angelo, John R. Vercellotti, Tom Jacks, H. P. Dupuy, Walter H. Schuller, G. S. Fisher, N. V. Lovegren, William J. Connick, Judith M. Bradow and Ray H. Liu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Michael G. Legendre

12 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Michael G. Legendre 180 130 129 113 108 13 546
A. S. Henick 171 0.9× 119 0.9× 93 0.7× 86 0.8× 138 1.3× 23 592
Antonios Papastergiadis 178 1.0× 194 1.5× 61 0.5× 88 0.8× 120 1.1× 9 520
Edward Mubiru 127 0.7× 124 1.0× 65 0.5× 84 0.7× 93 0.9× 15 538
Katsumi Umano 93 0.5× 215 1.7× 161 1.2× 103 0.9× 93 0.9× 23 540
Françoise Bindler 116 0.6× 134 1.0× 71 0.6× 93 0.8× 76 0.7× 17 558
H. Osman 121 0.7× 194 1.5× 98 0.8× 79 0.7× 42 0.4× 10 613
R. J. Peterson 231 1.3× 205 1.6× 54 0.4× 191 1.7× 203 1.9× 16 584
Armin Amanpour 117 0.7× 306 2.4× 108 0.8× 108 1.0× 92 0.9× 28 576
Guillermo Santa‐María 68 0.4× 150 1.2× 93 0.7× 99 0.9× 65 0.6× 19 451
Clément Fritsch 101 0.6× 192 1.5× 83 0.6× 160 1.4× 302 2.8× 12 583

Countries citing papers authored by Michael G. Legendre

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Legendre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Legendre. 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 Michael G. Legendre. The network helps show where Michael G. Legendre may publish in the future.

Co-authorship network of co-authors of Michael G. Legendre

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Legendre. A scholar is included among the top collaborators of Michael G. Legendre 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 Michael G. Legendre. Michael G. Legendre 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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