R.M. Armstrong

24 papers receiving 479 citations

Peers

R.M. Armstrong
Comparison fields: 5 of 43
  • Agronomy and Crop Science 436
  • Ecology, Evolution, Behavior and Systematics 366
  • Cardiology and Cardiovascular Medicine 342
  • Infectious Diseases 101
  • Animal Science and Zoology 46
Replace J. J. Callis with:
J. J. Callis United States
W. Rossmanith Austria
M. Madhanmohan India
Christian Schelp Germany
Yves Leforban Italy
I.T.R. Barnett United Kingdom
J. W. McVicar United States
Chrisostom Ayebazibwe Uganda
Mariano Pérez-Filgueira Argentina
Begoña Valdazo‐González United Kingdom
R.M. Armstrong relative to J. J. Callis United States J. J. Callis's profile →
Citations per field
00.5×1.5×2.4×
J. J. Callis · 1×
Citations per year

Countries citing papers authored by R.M. Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994106
2 199461
3 198455
4 200352
5 200450
6 200524
7 199423
8 196722
9 200521
10 198916
11 198916
12 200114
13 199311
14 198311
15 200710
16 199710
17 19908
18 20007
19 19916
20 19955

About R.M. Armstrong

R.M. Armstrong is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Animal Science and Zoology, having authored 25 papers that have together received 543 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (22 papers), Viral Infections and Immunology Research (20 papers), Vector-Borne Animal Diseases (15 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Viral Infections and Vectors (2 papers) and Infectious Encephalopathies and Encephalitis (1 paper). The work is most often cited by research in Agronomy and Crop Science (436 citations), Ecology, Evolution, Behavior and Systematics (366 citations), Cardiology and Cardiovascular Medicine (342 citations), Infectious Diseases (101 citations) and Animal Science and Zoology (46 citations). R.M. Armstrong has collaborated with scholars based in United Kingdom, India and Sri Lanka. Frequent co-authors include C. Hamblin, I.T.R. Barnett, R. S. Hedger, N.P. Ferris, N. J. Knowles, P. Dawe, K. J. Sørensen, Neeraj Aggarwal, Sarah J. Cox and Reiko Ohara. Their work appears in journals such as Veterinary Microbiology, Veterinary Record, Journal of Wildlife Diseases, Research in Veterinary Science and Journal of Virological Methods.

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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