S. J. Brown

18 papers receiving 167 citations

Peers

S. J. Brown
Comparison fields: 5 of 58
  • Medical Laboratory Technology 12
  • Statistics, Probability and Uncertainty 40
  • Mechanics of Materials 71
  • General Materials Science 8
  • Safety, Risk, Reliability and Quality 23
Replace V.H.Y. Tam with:
V.H.Y. Tam United Kingdom
Ataollah Rabiee Iran
A Bousbia Salah Italy
Terry L. Schulz United States
Dieter Kohlgrüber Germany
T.A. Duffey United States
Edwin C. Rossow United States
Xiaoshu Zeng United States
Ronald L. Woolley United Kingdom
F. D’Auria Italy
S. J. Brown relative to V.H.Y. Tam United Kingdom V.H.Y. Tam's profile →
Citations per field
00.5×1.5×
V.H.Y. Tam · 1×
Citations per year

Countries citing papers authored by S. J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside S. J. Brown, 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 S. J. Brown Line = papers co-authored together S. J. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198636
2 199627
3 198225
4 202121
5 200015
6 202212
7 19819
8 19859
9 20228
10 20055
11 19775
12 19774
13 20054
14 19953
15 19872
16 20052
17 20192
18 20031
19
Experimental vibration study of in-air and fluid coupled co-axial cylinders
19791
20
Finite Element, Photoelastic, and Strain Gage Stress Analysis of a Cylinder-to-Cylinder Structure
19771

About S. J. Brown

S. J. Brown is a scholar working on Mechanical Engineering, Mechanics of Materials, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Civil and Structural Engineering, having authored 21 papers that have together received 192 indexed citations. Recurring topics across this work include Risk and Safety Analysis (6 papers), Structural Response to Dynamic Loads (3 papers), Fluid Dynamics Simulations and Interactions (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mechanical Failure Analysis and Simulation (3 papers), Fluid Dynamics and Vibration Analysis (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Fatigue and fracture mechanics (2 papers). The work is most often cited by research in Medical Laboratory Technology (12 citations), Statistics, Probability and Uncertainty (40 citations), Mechanics of Materials (71 citations), General Materials Science (8 citations) and Safety, Risk, Reliability and Quality (23 citations). S. J. Brown has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Iain May, W. Rits, O.T. Thomsen, M. L. Chu, Helen J. Mayfield, Kirsty R. Short, Colleen L. Lau, Jane E. Sinclair, Kerrie Mengersen and Andrew Baird. Their work appears in journals such as Journal of Pressure Vessel Technology, Applied Mechanics Reviews, npj Vaccines, Vaccine and Experimental Mechanics.

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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