William Marsh

2.1k total citations
71 papers, 1.2k citations indexed

About

William Marsh is a scholar working on Artificial Intelligence, Health Information Management and Emergency Medicine. According to data from OpenAlex, William Marsh has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Health Information Management and 9 papers in Emergency Medicine. Recurrent topics in William Marsh's work include Bayesian Modeling and Causal Inference (19 papers), Electronic Health Records Systems (11 papers) and Trauma and Emergency Care Studies (9 papers). William Marsh is often cited by papers focused on Bayesian Modeling and Causal Inference (19 papers), Electronic Health Records Systems (11 papers) and Trauma and Emergency Care Studies (9 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, Nigel Tai, Łukasz Radliński, Anthony C. Constantinou, Zane Perkins, Paul Krause, Peter Hearty and Todd E. Rasmussen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Expert Systems with Applications.

In The Last Decade

William Marsh

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Marsh United Kingdom 20 305 279 263 123 118 71 1.2k
Marek J. Drużdżel United States 23 175 0.6× 1.0k 3.6× 81 0.3× 74 0.6× 51 0.4× 101 2.0k
Ibrahim Habli United Kingdom 22 154 0.5× 398 1.4× 411 1.6× 82 0.7× 27 0.2× 100 1.6k
Aaron Brown United States 15 396 1.3× 323 1.2× 106 0.4× 123 1.0× 94 0.8× 34 1.9k
Peter Lucas Netherlands 28 208 0.7× 1.2k 4.2× 97 0.4× 76 0.6× 24 0.2× 202 2.5k
Jim Davies United Kingdom 21 407 1.3× 695 2.5× 401 1.5× 35 0.3× 91 0.8× 115 2.2k
Dario A. Giuse United States 23 161 0.5× 460 1.6× 91 0.3× 52 0.4× 27 0.2× 79 1.7k
Ellen J. Bass United States 21 48 0.2× 182 0.7× 137 0.5× 248 2.0× 320 2.7× 173 1.7k
Stefania Montani Italy 25 224 0.7× 767 2.7× 175 0.7× 60 0.5× 9 0.1× 112 2.0k
Richard M. Golden United States 21 137 0.4× 327 1.2× 141 0.5× 40 0.3× 84 0.7× 66 1.3k
Mei Liu China 21 191 0.6× 312 1.1× 92 0.3× 12 0.1× 19 0.2× 60 1.4k

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).

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.

Co-authorship network of co-authors of William Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of William Marsh. A scholar is included among the top collaborators of William Marsh 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 William Marsh. William Marsh 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
1.
Marsden, Max, Zane Perkins, William Marsh, et al.. (2025). Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting. Emergency Medicine Journal. 42(10). 654–661.
2.
Morrissey, Dylan, et al.. (2025). “It’s the future, come on!”: a think aloud study exploring clinicians’ use of knowledge-based AI decision support. International Journal of Medical Informatics. 204. 106089–106089. 1 indexed citations
3.
Kyrimi, Evangelia, et al.. (2024). Counterfactual reasoning using causal Bayesian networks as a healthcare governance tool. International Journal of Medical Informatics. 193. 105681–105681. 1 indexed citations
4.
Wohlgemut, Jared M., Evangelia Kyrimi, Christian Sandrock, et al.. (2024). Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome. Trauma Surgery & Acute Care Open. 9(1). e001214–e001214. 10 indexed citations
5.
Wohlgemut, Jared M., et al.. (2024). A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems. BMC Medical Informatics and Decision Making. 24(1). 323–323.
6.
7.
Curzon, Paul, Hamit Soyel, William Marsh, et al.. (2023). Attitudes towards technology supported rheumatoid arthritis care: investigating patient- and clinician-perceived opportunities and barriers. Rheumatology Advances in Practice. 7(3). rkad089–rkad089. 2 indexed citations
8.
Wohlgemut, Jared M., Max Marsden, Evangelia Kyrimi, et al.. (2023). Diagnostic accuracy of clinical examination to identify life- and limb-threatening injuries in trauma patients. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 31(1). 18–18. 19 indexed citations
9.
Şakar, Ceren Tuncer, et al.. (2022). Reducing the question burden of patient reported outcome measures using Bayesian networks. Journal of Biomedical Informatics. 135. 104230–104230. 3 indexed citations
10.
Huda, M. S. B., et al.. (2021). mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review. Diabetic Medicine. 39(1). e14735–e14735. 28 indexed citations
11.
Alwashmi, Meshari F, et al.. (2021). Usability Testing of a Digital Assessment Routing Tool: Protocol for an Iterative Convergent Mixed Methods Study. JMIR Research Protocols. 10(5). e27205–e27205. 3 indexed citations
12.
Kyrimi, Evangelia, et al.. (2021). Bayesian networks in healthcare: What is preventing their adoption?. Artificial Intelligence in Medicine. 116. 102079–102079. 28 indexed citations
13.
Kyrimi, Evangelia, et al.. (2020). An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. Artificial Intelligence in Medicine. 103. 101812–101812. 17 indexed citations
14.
Kyrimi, Evangelia, et al.. (2020). Medical idioms for clinical Bayesian network development. Journal of Biomedical Informatics. 108. 103495–103495. 22 indexed citations
15.
Kyrimi, Evangelia & William Marsh. (2016). A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision Making. 275–286. 4 indexed citations
16.
Constantinou, Anthony C., Norman Fenton, William Marsh, & Łukasz Radliński. (2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artificial Intelligence in Medicine. 67. 75–93. 105 indexed citations
17.
Perkins, Zane, Barbaros Yet, Simon Glasgow, et al.. (2014). PS170. Prognostic Factors for Amputation Following Surgical Repair of Lower Extremity Vascular Trauma: A Systematic Review and Meta-Analysis of Observational Studies. Journal of Vascular Surgery. 59(6). 75S–75S. 1 indexed citations
18.
Yet, Barbaros, Zane Perkins, Todd E. Rasmussen, Nigel Tai, & William Marsh. (2014). Combining data and meta-analysis to build Bayesian networks for clinical decision support. Journal of Biomedical Informatics. 52. 373–385. 27 indexed citations
19.
Yet, Barbaros, Zane Perkins, Norman Fenton, Nigel Tai, & William Marsh. (2013). Not just data: A method for improving prediction with knowledge. Journal of Biomedical Informatics. 48. 28–37. 48 indexed citations
20.
Marsh, William, et al.. (2013). Change and safety: decision-making from data. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 227(6). 704–714. 12 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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