Robert Shaw

1.1k citations
19 papers · 491 · h-index 12

Impact in

Papers in

    • Influenza Virus Research Studies 12
    • Respiratory viral infections research 7
    • Viral gastroenteritis research and epidemiology 2

Robert Shaw

19 papers receiving 472 citations

Peers

Robert Shaw
Comparison fields: 5 of 68
  • Epidemiology 351
  • Agronomy and Crop Science 60
  • Modeling and Simulation 24
  • Infectious Diseases 82
  • Anatomy 5
Replace Teck‐Hock Toh with:
Teck‐Hock Toh Malaysia
Ian J. Owens United Kingdom
Emi Tsuchiya Japan
Matthew Hohenboken United States
Vilma Savy Argentina
Vas Narasimhan United States
Pieter Neels Belgium
Kate Guilfoyle United Kingdom
Ruiqi Ren China
C Costin Israel
Robert Shaw relative to Teck‐Hock Toh Malaysia Teck‐Hock Toh's profile →
Citations per field
00.5×5.3×
Teck‐Hock Toh · 1×
Citations per year

Countries citing papers authored by Robert Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Robert Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Shaw. 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 Robert Shaw. The network helps show where Robert Shaw may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200472
2 201063
3 201154
4 201045
5 200342
6 201240
7 202131
8 200831
9 200626
10 202022
11 202219
12 201115
13 200310
14 19846
15 20135
16 20204
17 20173
18 19672
19 20241

About Robert Shaw

Robert Shaw is a scholar working on Epidemiology, Infectious Diseases, Family Practice, Public Health, Environmental and Occupational Health and Philosophy, having authored 19 papers that have together received 491 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (7 papers), Mental Health and Psychiatry (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Immune Response and Inflammation (2 papers), Simulation-Based Education in Healthcare (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Epidemiology (351 citations), Agronomy and Crop Science (60 citations), Modeling and Simulation (24 citations), Infectious Diseases (82 citations) and Anatomy (5 citations). Robert Shaw has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ian Barr, Naomi Komadina, Alan Hampson, Aeron C. Hurt, R.T.P. Lin, Yi‐Mo Deng, Natalie Caldwell, Tuckweng Kok, Geoff Higgins and Julie Burrows. Their work appears in journals such as Influenza and Other Respiratory Viruses, Eurosurveillance, Journal of Clinical Virology, Frontiers in Psychology and Journal of Medical Virology.

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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