Joe Hasell

3.2k total citations · 1 hit paper
5 papers, 1.6k citations indexed

About

Joe Hasell is a scholar working on Modeling and Simulation, Infectious Diseases and Health. According to data from OpenAlex, Joe Hasell has authored 5 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Modeling and Simulation, 2 papers in Infectious Diseases and 1 paper in Health. Recurrent topics in Joe Hasell's work include COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 diagnosis using AI (1 paper). Joe Hasell is often cited by papers focused on COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 diagnosis using AI (1 paper). Joe Hasell collaborates with scholars based in United Kingdom, Sweden and United States. Joe Hasell's co-authors include Edouard Mathieu, Charlie Giattino, Max Roser, Esteban Ortiz-Ospina, Hannah Ritchie, Cameron Appel, Bobbie Macdonald and Diana Beltekian and has published in prestigious journals such as Scientific Data, Nature Human Behaviour and The Lancet Public Health.

In The Last Decade

Joe Hasell

5 papers receiving 1.6k citations

Hit Papers

A global database of COVID-19 vaccinations 2021 2026 2022 2024 2021 250 500 750 1000

Peers

Joe Hasell
Charlie Giattino United Kingdom
Edouard Mathieu United Kingdom
Esteban Ortiz-Ospina United Kingdom
Max Roser United Kingdom
Amanda Yufika Indonesia
Wira Winardi Indonesia
Chad R. Wells United States
Oliver J. Watson United Kingdom
Charlie Giattino United Kingdom
Joe Hasell
Citations per year, relative to Joe Hasell Joe Hasell (= 1×) peers Charlie Giattino

Countries citing papers authored by Joe Hasell

Since Specialization
Citations

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

Fields of papers citing papers by Joe Hasell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Hasell

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Hasell. A scholar is included among the top collaborators of Joe Hasell 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 Joe Hasell. Joe Hasell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Mathieu, Edouard, Hannah Ritchie, Charlie Giattino, et al.. (2024). Best practices for government agencies to publish data: lessons from COVID-19. The Lancet Public Health. 9(6). e407–e410. 1 indexed citations
2.
Mathieu, Edouard, Hannah Ritchie, Esteban Ortiz-Ospina, et al.. (2021). Author Correction: A global database of COVID-19 vaccinations. Nature Human Behaviour. 5(7). 956–959. 22 indexed citations
3.
Mathieu, Edouard, Hannah Ritchie, Esteban Ortiz-Ospina, et al.. (2021). A global database of COVID-19 vaccinations. Nature Human Behaviour. 5(7). 947–953. 1146 indexed citations breakdown →
4.
Hasell, Joe, Edouard Mathieu, Diana Beltekian, et al.. (2020). A cross-country database of COVID-19 testing. Scientific Data. 7(1). 345–345. 359 indexed citations
5.
Ritchie, Hannah, Edouard Mathieu, Cameron Appel, et al.. (2020). Coronavirus Pandemic (COVID-19). 114 indexed citations

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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