Daniel Burns

17 papers and 189 indexed citations
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About

Daniel Burns is a scholar working on Artificial Intelligence, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Burns has authored 17 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Epidemiology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Burns’s work include COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Daniel Burns is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Daniel Burns collaborates with scholars based in United Kingdom, United States and Switzerland. Daniel Burns's co-authors include Apostolos Pilaftsis, Michael Boniface, Francis Chmiel, Zlatko Zlatev, T. Daniels, N.M. White, Christopher Duckworth, Salah Mansour, Ivo Tews and Mike Surridge and has published in prestigious journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Daniel Burns

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

Fields of papers citing papers by Daniel Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Burns

Since Specialization
Citations

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

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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2026