Iain Marshall
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Meta-analysis and systematic reviews
Papers in
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- Artificial Intelligence in Healthcare and Education 9
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- Stroke Rehabilitation and Recovery 22
- Co-authors
- Byron WallaceCharles WolfeJoël KuiperChristopher McKevittJames ThomasAnna H Noel-StorrYanzhong WangAnthony Rudd
- Journals
- Journal of the American Medical Informatics Association (4 papers)International Journal of Stroke (4 papers)PLoS ONE (4 papers)Stroke (3 papers)Journal of Clinical Epidemiology (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Iain Marshall
70 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Health Informatics 258
- Statistics, Probability and Uncertainty 491
- Family Practice 117
- Rehabilitation 300
- Health Information Management 100
Countries citing papers authored by Iain Marshall
This map shows the geographic impact of Iain Marshall'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 Iain Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain Marshall more than expected).
Fields of papers citing papers by Iain Marshall
This network shows the impact of papers produced by Iain Marshall. 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 Iain Marshall. The network helps show where Iain Marshall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iain Marshall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 43 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 2 | |
| 17 | Identifying Diagnostic Test Accuracy Publications using a Deep Model. | 2017 | 1 |
| 18 | 2017 | 20 | |
| 19 | 2017 | 6 | |
| 20 | 2016 | 191 |
About Iain Marshall
Iain Marshall is a scholar working on Health Informatics, Rehabilitation, Statistics, Probability and Uncertainty, Epidemiology and Psychiatry and Mental health, having authored 80 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (27 papers), Stroke Rehabilitation and Recovery (22 papers), Topic Modeling (15 papers), Meta-analysis and systematic reviews (14 papers), Biomedical Text Mining and Ontologies (13 papers), Dementia and Cognitive Impairment Research (11 papers), Artificial Intelligence in Healthcare and Education (9 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Health Informatics (258 citations), Statistics, Probability and Uncertainty (491 citations), Family Practice (117 citations), Rehabilitation (300 citations) and Health Information Management (100 citations). Iain Marshall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Byron Wallace, Charles Wolfe, Joël Kuiper, Christopher McKevitt, James Thomas, Anna H Noel-Storr, Yanzhong Wang, Anthony Rudd, Ye Zhang and Siobhan Crichton. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Stroke, PLoS ONE, Stroke and Journal of Clinical Epidemiology.
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.