William Marsh

62 papers and 960 indexed citations i.

About

William Marsh is a scholar working on Artificial Intelligence, Health Information Management and Statistics, Probability and Uncertainty. According to data from OpenAlex, William Marsh has authored 62 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 11 papers in Health Information Management and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in William Marsh’s work include Bayesian Modeling and Causal Inference (17 papers), Electronic Health Records Systems (9 papers) and Trauma and Emergency Care Studies (8 papers). William Marsh is often cited by papers focused on Bayesian Modeling and Causal Inference (17 papers), Electronic Health Records Systems (9 papers) and Trauma and Emergency Care Studies (8 papers). William Marsh collaborates with scholars based in United Kingdom, United States and Türkiye. William Marsh's co-authors include Norman Fenton, Barbaros Yet, Martin Neil, Anthony C. Constantinou, Nigel Tai, Łukasz Radliński, Zane Perkins, Peter Hearty, Paul Krause and Todd E. Rasmussen and has published in prestigious journals such as Annals of Surgery, Analytica Chimica Acta and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of William Marsh i

Fields of papers citing papers by William Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Marsh

Since Specialization
Citations

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