Michael G. Legendre

783 citations
13 papers · 545 indexed · h-index 10
Topics
Meat and Animal Product Quality (5 papers)Analytical Chemistry and Chromatography (4 papers)Advanced Chemical Sensor Technologies (4 papers)
Partner nations
United States

In The Last Decade

Michael G. Legendre

12 papers receiving 502 citations

Peers

Michael G. Legendre
Comparison fields: 5 of 82
  • Animal Science and Zoology 180
  • Food Science 129
  • Plant Science 129
  • Biomedical Engineering 113
  • Organic Chemistry 108
Replace Katsumi Umano with:
Katsumi Umano Japan
Braja D. Mookherjee United States
Tai-Wan Kwon United States
K. E. Murray Australia
R. Self United Kingdom
Pier Antonio Biondi Italy
Simon H. Gaffney United Kingdom
Reinhard Marcuse Sweden
Irving S. Fagerson United States
Tei Yamanishi Japan
Michael G. Legendre relative to Katsumi Umano Japan Katsumi Umano's profile →
Citations per field
00.5×1.5×1.9×
Katsumi Umano · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 325
2 3
3 27
4 1
5 25
6 29
7 24
8 13
9 6
10 10
11 40
12 12
13 30

About Michael G. Legendre

Michael G. Legendre is a scholar working on Animal Science and Zoology, Spectroscopy and Nutrition and Dietetics, having authored 13 papers that have together received 545 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (5 papers), Analytical Chemistry and Chromatography (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Animal Science and Zoology (180 citations), Biochemistry (104 citations) and Food Science (129 citations). Michael G. Legendre has collaborated with scholars based in United States. Frequent co-authors include Allen J. St. Angelo, John R. Vercellotti, Tom Jacks, H. P. Dupuy, Walter H. Schuller, G. S. Fisher, N. V. Lovegren, Judith M. Bradow, William J. Connick and Ray H. Liu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Critical Reviews in Food Science and Nutrition.

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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