David Heslop

1.1k total citations · 1 hit paper
61 papers, 668 citations indexed

About

David Heslop is a scholar working on Epidemiology, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David Heslop has authored 61 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 13 papers in Modeling and Simulation and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David Heslop's work include COVID-19 epidemiological studies (13 papers), Disaster Response and Management (12 papers) and Viral Infections and Outbreaks Research (9 papers). David Heslop is often cited by papers focused on COVID-19 epidemiological studies (13 papers), Disaster Response and Management (12 papers) and Viral Infections and Outbreaks Research (9 papers). David Heslop collaborates with scholars based in Australia, United States and United Kingdom. David Heslop's co-authors include C. Raina MacIntyre, Abrar Ahmad Chughtai, Valentina Costantino, Kevin A. Keay, Richard Bandler, Reema Harrison, Mitko Aleksandrov, Sisi Zlatanova, Shovon Bhattacharjee and Mohana Kunasekaran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Neuroscience.

In The Last Decade

David Heslop

52 papers receiving 639 citations

Hit Papers

Artificial intelligence in public health: the potential o... 2023 2026 2024 2025 2023 20 40 60

Peers

David Heslop
Comparison fields: 5 of 158
  • Modeling and Simulation 131
  • Infectious Diseases 93
  • Epidemiology 90
  • General Health Professions 77
  • Public Health, Environmental and Occupational Health 75
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Citations per field, relative to David Heslop
David Heslop · 1×
Citations per year, relative to David Heslop
David Heslop · 1×

Countries citing papers authored by David Heslop

Since Specialization
Citations

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

Fields of papers citing papers by David Heslop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Heslop

This figure shows the co-authorship network connecting the top 25 collaborators of David Heslop. A scholar is included among the top collaborators of David Heslop 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 David Heslop. David Heslop 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 0
3 0
4 1
5 0
6 5
7 3
8 0
9 0
10 1
11
Artificial intelligence in public health: the potential of epidemic early warning systems breakdown →
64
12 18
13 26
14 51
15 1
16 3
17 67
18 3
19 6
20 10

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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