Anoushka Millear

67.3k citations
4 papers · 67 · h-index 2

Impact in

Papers in

    • Viral Infections and Outbreaks Research 2
    • Viral Infections and Vectors 1
    • Vaccine Coverage and Hesitancy 1

Anoushka Millear

4 papers receiving 65 citations

Peers

Anoushka Millear
Comparison fields: 5 of 27
  • Modeling and Simulation 17
  • Infectious Diseases 38
  • Public Health, Environmental and Occupational Health 26
  • Ecological Modeling 3
  • Agronomy and Crop Science 6
Replace Ramat T. Kamorudeen with:
Ramat T. Kamorudeen Nigeria
Yangni He China
Vance Brown United States
Adamu Tayachew Ethiopia
Hervé Kadjo Ivory Coast
Gina Cuomo-Dannenburg United Kingdom
Joseph Rukelibuga Rwanda
Henry Kyobe Bosa Uganda
Olusola Ogunsanya Nigeria
Simon Kyazze Uganda
Anoushka Millear relative to Ramat T. Kamorudeen Nigeria Ramat T. Kamorudeen's profile →
Citations per field
00.5×1.5×
Ramat T. Kamorudeen · 1×
Citations per year

Countries citing papers authored by Anoushka Millear

Since Specialization
Citations

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

Fields of papers citing papers by Anoushka Millear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Anoushka Millear, 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 Anoushka Millear Line = papers co-authored together Anoushka Millear links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Anoushka Millear

Anoushka Millear is a scholar working on Infectious Diseases, Health, Pediatrics, Perinatology and Child Health, Sociology and Political Science and Obstetrics and Gynecology, having authored 4 papers that have together received 67 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (2 papers), COVID-19 Impact on Reproduction (1 paper), Vaccine Coverage and Hesitancy (1 paper), Global Maternal and Child Health (1 paper), Zoonotic diseases and public health (1 paper), Disaster Management and Resilience (1 paper), Viral Infections and Vectors (1 paper) and Global Security and Public Health (1 paper). The work is most often cited by research in Modeling and Simulation (17 citations), Infectious Diseases (38 citations), Public Health, Environmental and Occupational Health (26 citations), Ecological Modeling (3 citations) and Agronomy and Crop Science (6 citations). Anoushka Millear has collaborated with scholars based in United States, Mali and Australia. Frequent co-authors include Daniel J. Weiss, Catherine L. Moyes, Samir Bhatt, Freya M. Shearer, Simon I Hay, Chloe Morozoff, Oliver J. Brady, Nick Golding, Barbara A. Han and David M. Pigott. Their work appears in journals such as BMJ Open, eLife, HIMALAYA and SSRN Electronic Journal.

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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