Glen P. Martin

9.3k total citations · 3 hit papers
133 papers, 3.1k citations indexed

About

Glen P. Martin is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Glen P. Martin has authored 133 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cardiology and Cardiovascular Medicine, 37 papers in Epidemiology and 24 papers in Artificial Intelligence. Recurrent topics in Glen P. Martin's work include Machine Learning in Healthcare (24 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers) and Acute Myocardial Infarction Research (18 papers). Glen P. Martin is often cited by papers focused on Machine Learning in Healthcare (24 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers) and Acute Myocardial Infarction Research (18 papers). Glen P. Martin collaborates with scholars based in United Kingdom, United States and Canada. Glen P. Martin's co-authors include Richard D Riley, Gary S. Collins, Maarten van Smeden, Kym I E Snell, Joie Ensor, Frank E. Harrell, Matthew Sperrin, Karel G.M. Moons, Johannes B. Reitsma and Niels Peek and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Glen P. Martin

123 papers receiving 3.0k citations

Hit Papers

Calculating the sample size required for developing a cli... 2020 2026 2022 2024 2020 2024 2024 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Calculating the sample size required for developing a clinical prediction model
    2020 1.2k citations Richard D Riley, Joie Ensor et al. BMJ profile →
  2. Evaluation of clinical prediction models (part 1): from development to external validation
    2024 183 citations Gary S. Collins, Paula Dhiman et al. BMJ profile →
  3. Evaluation of clinical prediction models (part 2): how to undertake an external validation study
    2024 102 citations Richard D Riley, Lucinda Archer et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glen P. Martin United Kingdom 25 760 624 490 397 339 133 3.1k
Karel G. M. Moons Netherlands 16 665 0.9× 551 0.9× 679 1.4× 469 1.2× 276 0.8× 33 3.3k
Johanna AAG Damen Netherlands 25 577 0.8× 446 0.7× 432 0.9× 261 0.7× 390 1.2× 66 2.8k
Walter Bouwmeester United Kingdom 11 373 0.5× 436 0.7× 429 0.9× 285 0.7× 222 0.7× 20 2.4k
Romain Pirracchio France 30 552 0.7× 969 1.6× 756 1.5× 441 1.1× 295 0.9× 139 3.5k
Laure Wynants Belgium 26 313 0.4× 559 0.9× 671 1.4× 463 1.2× 405 1.2× 72 3.6k
Ewoud Schuit Netherlands 27 477 0.6× 581 0.9× 353 0.7× 607 1.5× 213 0.6× 155 3.2k
Andrew Fu Wah Ho Singapore 32 523 0.7× 561 0.9× 322 0.7× 335 0.8× 195 0.6× 207 3.2k
Joie Ensor United Kingdom 25 841 1.1× 931 1.5× 963 2.0× 532 1.3× 503 1.5× 66 5.1k
Jan Y. Verbakel Belgium 28 432 0.6× 1.0k 1.7× 631 1.3× 612 1.5× 402 1.2× 134 4.9k
Saul Blecker United States 29 1.4k 1.9× 320 0.5× 627 1.3× 324 0.8× 197 0.6× 109 3.0k

Countries citing papers authored by Glen P. Martin

Since Specialization
Citations

This map shows the geographic impact of Glen P. Martin'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 Glen P. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen P. Martin more than expected).

Fields of papers citing papers by Glen P. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen P. Martin. 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 Glen P. Martin. The network helps show where Glen P. Martin may publish in the future.

Co-authorship network of co-authors of Glen P. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Glen P. Martin. A scholar is included among the top collaborators of Glen P. Martin 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 Glen P. Martin. Glen P. Martin 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.
Michael, Sarah, et al.. (2026). Distant recurrence and margin involvement in invasive breast cancer. British Journal of Cancer. 134(5). 772–780.
2.
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Eisner, Emily, Sandra Bucci, Glen P. Martin, et al.. (2025). A systematic review of passive data for remote monitoring in psychosis and schizophrenia. npj Digital Medicine. 8(1). 62–62. 3 indexed citations
4.
Riley, Richard D, Gary S. Collins, Kym I E Snell, et al.. (2025). Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches. BMJ. 388. e080749–e080749. 5 indexed citations
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Martin, Glen P., Richard D Riley, Joie Ensor, & Stuart W Grant. (2025). Statistical primer: sample size considerations for developing and validating clinical prediction models. European Journal of Cardio-Thoracic Surgery. 67(5).
7.
Martin, Glen P., et al.. (2025). Analysis of case files of children reporting non-fatal strangulation as part of a sexual assault. Child Abuse & Neglect. 167. 107504–107504.
8.
Martin, Glen P., Salwa S. Zghebi, Vicky P. Taxiarchi, et al.. (2025). Drivers of 1-year mortality decline after acute myocardial infarction in England and Wales: a 15-year national cohort study. Heart. 112(8). heartjnl–2024. 1 indexed citations
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Pate, Alexander, Matthew Sperrin, Richard D Riley, et al.. (2024). Calibration plots for multistate risk prediction models. Statistics in Medicine. 43(14). 2830–2852. 2 indexed citations
11.
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Riley, Richard D, Lucinda Archer, Kym I E Snell, et al.. (2024). Evaluation of clinical prediction models (part 2): how to undertake an external validation study. BMJ. 384. e074820–e074820. 102 indexed citations breakdown →
13.
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Pate, Alexander, Matthew Sperrin, Richard D Riley, et al.. (2023). Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. Statistics in Medicine. 42(18). 3184–3207. 2 indexed citations
15.
Kontopantelis, Evangelos, Mamas A. Mamas, Roger T. Webb, et al.. (2022). Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study. PLoS Medicine. 19(2). e1003904–e1003904. 30 indexed citations
16.
Martin, Glen P., Nick Curzen, Andrew Goodwin, et al.. (2021). Indirect Impact of the COVID-19 Pandemic on Activity and Outcomes of Transcatheter and Surgical Treatment of Aortic Stenosis in England. Circulation Cardiovascular Interventions. 14(5). e010413–e010413. 16 indexed citations
17.
Rashid, Muhammad, Adam Timmis, Tim Kinnaird, et al.. (2021). Racial differences in management and outcomes of acute myocardial infarction during COVID-19 pandemic. Heart. 107(9). 734–740. 26 indexed citations
18.
Peek, Niels, et al.. (2020). Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient. Journal of Clinical Epidemiology. 133. 53–60. 15 indexed citations
19.
Peek, Niels, et al.. (2019). Scoping review of informative observation in clinical prediction models. OSF Preprints (OSF Preprints). 1 indexed citations
20.
Scott, Philip, Ronald Cornet, Colin McCowan, et al.. (2017). Informatics for Health 2017: Advancing both science and practice. Journal of Innovation in Health Informatics. 24(1). 1–1. 7 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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