Edward M. Smith

2.1k citations
77 papers · 1.6k · h-index 22

Impact in

Papers in

Edward M. Smith

72 papers receiving 1.4k citations

Peers

Edward M. Smith
Comparison fields: 5 of 167
  • Agronomy and Crop Science 306
  • Numerical Analysis 146
  • Microbiology 97
  • Small Animals 114
  • Infectious Diseases 184
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Ke Lan China
Janet R. Donaldson United States
Eugene Ackerman United States
Richard C. Allen United States
Satoshi Sekiguchi Japan
David M. Giltinan United States
A. McNabb Canada
Marisa C. Eisenberg United States
Reiko Tanaka Japan
Yanjun Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Edward M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Edward M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edward M. 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 Edward M. Smith Line = papers co-authored together Edward M. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999176
2 2005151
3 1972109
4 196687
5 199770
6 197458
7 199556
8 200545
9 198343
10
Single-photon transaxial emission computed tomography of the heart in normal subjects and in patients with infarction.
197942
11 200938
12 201337
13
Calculating the radiation dosage to an organ.
197337
14 197236
15 197435
16
85Sr scintimetry in osteoarthritis of the knee.
196930
17 198129
18 201428
19 201627
20 197427

About Edward M. Smith

Edward M. Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Agronomy and Crop Science, Pulmonary and Respiratory Medicine, Genetics and Small Animals, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiology practices and education (11 papers), Radiation Dose and Imaging (11 papers), Digital Radiography and Breast Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers), Genetic and phenotypic traits in livestock (7 papers), Microbial infections and disease research (6 papers), Animal Behavior and Welfare Studies (6 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). The work is most often cited by research in Agronomy and Crop Science (306 citations), Numerical Analysis (146 citations), Microbiology (97 citations), Small Animals (114 citations) and Infectious Diseases (184 citations). Edward M. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Constantinos C. Pantelides, Norman L. Gottlieb, Laura Green, Patricia M. Smith, Graham F. Medley, Christopher G. Dowson, Henry N. Wagner, J. Edwin Blalock, V. Lopéz-Majano and T. Migita. Their work appears in journals such as Journal of Digital Imaging, Agricultural Systems, Computers & Chemical Engineering, Infection and Immunity and Veterinary Microbiology.

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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