Michael R. Smith

154 papers receiving 4.0k citations

Peers

Michael R. Smith
Comparison fields: 5 of 173
  • Biotechnology 507
  • Nutrition and Dietetics 716
  • Radiology, Nuclear Medicine and Imaging 786
  • Food Science 587
  • Building and Construction 441
Replace Frank D. Sauer with:
Frank D. Sauer United States
Masanori Sugiyama Japan
Riccardo Leardi Italy
Jingkang Wang China
Hiroshi M. Sasaki Japan
John Villadsen Denmark
Søren Balling Engelsen Denmark
Peng Zhou China
Åsmund Rinnan Denmark
Yun Xu United Kingdom
Michael R. Smith relative to Frank D. Sauer United States Frank D. Sauer's profile →
Citations per field
00.5×2×4×6×8.7×
Frank D. Sauer · 1×
Citations per year

Countries citing papers authored by Michael R. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael R. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael R. Smith Line = papers co-authored together Michael R. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999307
2 1993255
3 1978236
4 1978197
5 2005193
6 1998170
7 1993161
8 1999156
9 1996122
10 1981120
11 1995111
12 198097
13 199788
14 199881
15 200480
16 199076
17 198666
18 198364
19 197559
20 199357

About Michael R. Smith

Michael R. Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Software, Nutrition and Dietetics and Biotechnology, having authored 160 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (33 papers), Image and Signal Denoising Methods (22 papers), Microbial Metabolites in Food Biotechnology (15 papers), NMR spectroscopy and applications (15 papers), Enzyme Production and Characterization (13 papers), Biofuel production and bioconversion (10 papers), Advanced Electrical Measurement Techniques (9 papers) and Medical Imaging Techniques and Applications (9 papers). The work is most often cited by research in Biotechnology (507 citations), Nutrition and Dietetics (716 citations), Radiology, Nuclear Medicine and Imaging (786 citations), Food Science (587 citations) and Building and Construction (441 citations). Michael R. Smith has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Robert A. Mah, G. McGibney, S.T. Nichols, Richard Frayne, J. Marko Sikkema, Jan A. M. de Bont, G.J. Grobben, James C. Zahnley, Larry Baresi and Adrian Philip Crawley. Their work appears in journals such as Applied and Environmental Microbiology, Magnetic Resonance in Medicine, Journal of Industrial Microbiology & Biotechnology, IEEE Transactions on Medical Imaging and Magnetic Resonance Imaging.

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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