R C Brown

19 papers receiving 181 citations

Peers

R C Brown
Comparison fields: 5 of 78
  • Complementary and alternative medicine 40
  • Linguistics and Language 7
  • Spectroscopy 25
  • Language and Linguistics 14
  • Literature and Literary Theory 12
Replace Fu Chan with:
Fu Chan China
Anke Buschmann Germany
Mary J. Davis United States
Catherine Durand France
M. Joseph Meyer United States
James Eldridge United States
Marko Erceg Croatia
J.J. Johnson United States
Charles Shepherd United Kingdom
Mary Jane Gordon United States
R C Brown relative to Fu Chan China Fu Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by R C Brown

Since Specialization
Citations

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

Fields of papers citing papers by R C Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside R C 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 R C Brown Line = papers co-authored together R C Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199064
2 200649
3 199926
4 200012
5 197411
6 19946
7 19526
8 19946
9 19995
10 19993
11 19672
12
Faculty development initiative: acquisition and support of course management software
20032
13
Technology and I Nnovation: Creation of a Technology Intensive Campus
19961
14
A Textbook of physics
19611
15
The Center for Innovation in Instruction at Valley City State University: Improving Teaching with Technology.
19971
16 19931
17 19671
18 19711
19 20101
20
Estimating Tote Drop Height & Impact Acceleration from a Transportation Recorder
20131

About R C Brown

R C Brown is a scholar working on General Health Professions, Education, Electrical and Electronic Engineering, Clinical Psychology and Mechanics of Materials, having authored 22 papers that have together received 201 indexed citations. Recurring topics across this work include Online and Blended Learning (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Flow Measurement and Analysis (2 papers), Health, psychology, and well-being (2 papers), Aerosol Filtration and Electrostatic Precipitation (2 papers), Infection Control and Ventilation (1 paper), Recycling and Waste Management Techniques (1 paper) and Primary Care and Health Outcomes (1 paper). The work is most often cited by research in Complementary and alternative medicine (40 citations), Linguistics and Language (7 citations), Spectroscopy (25 citations), Language and Linguistics (14 citations) and Literature and Literary Theory (12 citations). R C Brown has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Jennifer Reynolds, Sheila Greenfield, Sally Roberts, John Warren, Katerina Theodoridou, Lydia Smith, Elisabetta Stringano, Jocelyne Aufrère, Rainer Cramer and Merrilyn Goos. Their work appears in journals such as ELT Journal, Journal of Mental Health, American Industrial Hygiene Association Journal, Planta Medica and Journal of Aerosol Science.

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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