Don Bandaranayake

6.3k citations
26 papers · 874 indexed · 1 hit paper · h-index 12
Topics
Influenza Virus Research Studies (8 papers)Respiratory viral infections research (4 papers)Animal Disease Management and Epidemiology (4 papers)

In The Last Decade

Don Bandaranayake

23 papers receiving 818 citations

Hit Papers

Pandemic influenza A(H1N1)v in New Zealand: the experienc...2009202620142020200950100150

Peers

Don Bandaranayake
Comparison fields: 5 of 116
  • Epidemiology 355
  • Modeling and Simulation 167
  • Public Health, Environmental and Occupational Health 148
  • Infectious Diseases 140
  • Oncology 125
Replace Virginia Hope with:
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Citations per field
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Citations per year

Countries citing papers authored by Don Bandaranayake

Since Specialization
Citations

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

Fields of papers citing papers by Don Bandaranayake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Bandaranayake

This figure shows the co-authorship network connecting the top 25 collaborators of Don Bandaranayake. A scholar is included among the top collaborators of Don Bandaranayake based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Don Bandaranayake. Don Bandaranayake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Whooping cough—where are we now? A review.
7
2 27
3 61
4 8
5 15
6 28
7 83
8 45
9
Pandemic influenza A(H1N1)v in New Zealand: the experience from April to August 2009breakdown →
170
10 211
11
Evaluation of an otitis media with effusion screening pilot programme.
4
12
The characteristics and outcomes for patients presenting with unintentional domestic injuries to general practice.
0
13
Delivery of hepatitis B immunisations in a selection of computerised general practices.
1
14 7
15 3
16
Meningococcal disease in New Zealand: an audit of disease notification and contact management.
2
17 5
18 2
19
Communicable disease in New Zealand.
12
20 10

About Don Bandaranayake

Don Bandaranayake is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Epidemiology, having authored 26 papers that have together received 874 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (167 citations), Epidemiology (355 citations) and Infectious Diseases (140 citations). Don Bandaranayake has collaborated with scholars based in New Zealand, Australia and Japan. Frequent co-authors include Q. Sue Huang, Shevaun Paine, Michael G. Baker, Graham Mackereth, Jill Cockburn, Penelope Schofield, Martin Tattersall, Afaf Girgis, Phyllis Butow and Jane Turner. Their work appears in journals such as PLoS ONE, American Journal of Epidemiology and Emerging infectious diseases.

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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