Edward M. Hill

3.4k total citations · 1 hit paper
64 papers, 1.8k citations indexed

About

Edward M. Hill is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Edward M. Hill has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Modeling and Simulation, 23 papers in Infectious Diseases and 17 papers in Epidemiology. Recurrent topics in Edward M. Hill's work include COVID-19 epidemiological studies (36 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Influenza Virus Research Studies (10 papers). Edward M. Hill is often cited by papers focused on COVID-19 epidemiological studies (36 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Influenza Virus Research Studies (10 papers). Edward M. Hill collaborates with scholars based in United Kingdom, United States and Australia. Edward M. Hill's co-authors include Matt J. Keeling, Michael J. Tildesley, Louise Dyson, Sam Moore, Naomi E. Lohr, Kenneth R. Silk, Drew Westen, Seonjoo Lee, Thomas House and Alex Holmes and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Edward M. Hill

60 papers receiving 1.8k citations

Hit Papers

Vaccination and non-pharmaceutical interventions for COVI... 2021 2026 2022 2024 2021 100 200 300

Peers

Edward M. Hill
Comparison fields: 5 of 133
  • Modeling and Simulation 830
  • Infectious Diseases 658
  • Clinical Psychology 603
  • Health 348
  • Epidemiology 239
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Citations per field, relative to Edward M. Hill
Edward M. Hill · 1×
Citations per year, relative to Edward M. Hill
Edward M. Hill · 1×

Countries citing papers authored by Edward M. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Edward M. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward M. Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Edward M. Hill. A scholar is included among the top collaborators of Edward M. Hill 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 Edward M. Hill. Edward M. Hill 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
# Work Indexed citations
1 0
2 18
3 1
4 5
5 14
6 24
7 21
8 65
9 10
10 13
11 4
12 8
13 70
14 38
15 10
16 6
17 27
18 6
19
Dietary patterns and β-amyloid deposition in aging Australian women
3
20
Standardisation of information submitted to an endpoint committee for cause of death assignment in a cancer screening trial - Lessons learnt from CAP (Cluster randomised triAl of PSA testing for Prostate cancer) Data collection, quality, and reporting
2

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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