William Marsh
Impact in
- Software top 2%
- Software Reliability and Analysis Research
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- Risk and Safety Analysis
Papers in
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- Bayesian Modeling and Causal Inference 20
- Machine Learning in Healthcare 7
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- Risk and Safety Analysis 10
- Co-authors
- Norman Fenton (16 shared papers)Martin Neil (7 shared papers)Barbaros Yet (17 shared papers)Łukasz Radliński (3 shared papers)Nigel Tai (18 shared papers)Anthony C. Constantinou (6 shared papers)Zane Perkins (17 shared papers)Paul Krause (3 shared papers)
- Journals
- Artificial Intelligence in Medicine (4 papers)Journal of Biomedical Informatics (4 papers)International Journal of Medical Informatics (2 papers)British journal of surgery (2 papers)Annals of Surgery (2 papers)
- Partner nations
- United KingdomUnited StatesTürkiye
In The Last Decade
William Marsh
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 157
- Software 323
- Statistics, Probability and Uncertainty 195
- Health Informatics 32
- Computer Science Applications 121
- Radiological and Ultrasound Technology 96
Countries citing papers authored by William Marsh
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
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-authors
The 25 scholars most cited alongside William Marsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 150 | |
| 2 | 2016 | 116 | |
| 3 | 2008 | 110 | |
| 4 | 2015 | 77 | |
| 5 | 2004 | 67 | |
| 6 | 2005 | 66 | |
| 7 | 2013 | 53 | |
| 8 | 2016 | 45 | |
| 9 | 2012 | 42 | |
| 10 | 2018 | 39 | |
| 11 | 2017 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2015 | 34 | |
| 14 | 2021 | 32 | |
| 15 | 2007 | 32 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 30 | |
| 18 | 2004 | 28 | |
| 19 | 2015 | 28 | |
| 20 | 2014 | 27 |
About William Marsh
William Marsh is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty, Health Information Management, Software and Safety, Risk, Reliability and Quality, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (20 papers), Risk and Safety Analysis (10 papers), Software Reliability and Analysis Research (9 papers), Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (7 papers), Software Engineering Research (5 papers), Teaching and Learning Programming (5 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). The work is most often cited by research in Software (323 citations), Statistics, Probability and Uncertainty (195 citations), Health Informatics (32 citations), Computer Science Applications (121 citations) and Radiological and Ultrasound Technology (96 citations). William Marsh has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Norman Fenton, Martin Neil, Barbaros Yet, Łukasz Radliński, Nigel Tai, Anthony C. Constantinou, Zane Perkins, Paul Krause, Peter Hearty and Paul Curzon. Their work appears in journals such as Artificial Intelligence in Medicine, Journal of Biomedical Informatics, International Journal of Medical Informatics, British journal of surgery and Annals of Surgery.
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.