Iain Marshall

73 papers receiving 3.1k citations

Iain Marshall's Hit Papers

Toward systematic review automation: a practical guide to using machine learning tools in research synthesis 2019 · 315 citations
3150+2+5Years since publication100200300

Peers

Iain Marshall
Comparison fields: 5 of 167
  • Health Informatics 134
  • Statistics, Probability and Uncertainty 375
  • Family Practice 76
  • Rehabilitation 204
  • Artificial Intelligence 491
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Countries citing papers authored by Iain Marshall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Iain Marshall Line = papers co-authored together Iain Marshall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toward systematic review automation: a practical guide to using machine learning tools in research synthesis
Hit paper breakdown →
2019315
2
Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide
Hit paper breakdown →
2018293
3 2015274
4 2012263
5 2016194
6 2015190
7 2020167
8 2020131
9 2022117
10 2017116
11 202398
12
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision.
201680
13 202058
14 201858
15 201756
16 202048
17 201848
18 202043
19 201941
20 201540

About Iain Marshall

Iain Marshall is a scholar working on Rehabilitation, Epidemiology, Artificial Intelligence, Molecular Biology and Statistics, Probability and Uncertainty, having authored 81 papers that have together received 3.2k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (17 papers), Stroke Rehabilitation and Recovery (17 papers), Topic Modeling (13 papers), Biomedical Text Mining and Ontologies (11 papers), Meta-analysis and systematic reviews (10 papers), Dementia and Cognitive Impairment Research (5 papers), Machine Learning in Healthcare (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Health Informatics (134 citations), Statistics, Probability and Uncertainty (375 citations), Family Practice (76 citations), Rehabilitation (204 citations) and Artificial Intelligence (491 citations). Iain Marshall has collaborated with scholars based in United Kingdom, United States and Sierra Leone. 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, PLoS ONE, International Journal of Stroke, BMJ Open 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.

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