Lucinda Archer

2.5k total citations · 4 hit papers
34 papers, 1.2k citations indexed

About

Lucinda Archer is a scholar working on Economics and Econometrics, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Lucinda Archer has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 8 papers in Epidemiology and 8 papers in Artificial Intelligence. Recurrent topics in Lucinda Archer's work include Health Systems, Economic Evaluations, Quality of Life (10 papers), Machine Learning in Healthcare (8 papers) and Meta-analysis and systematic reviews (8 papers). Lucinda Archer is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (10 papers), Machine Learning in Healthcare (8 papers) and Meta-analysis and systematic reviews (8 papers). Lucinda Archer collaborates with scholars based in United Kingdom, Netherlands and Belgium. Lucinda Archer's co-authors include Richard D Riley, Gary S. Collins, Kym I E Snell, Joie Ensor, Maarten van Smeden, Thomas P. A. Debray, Glen P. Martin, Paula Dhiman, Matthew Sperrin and Mohammed T Hudda and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and BMJ.

In The Last Decade

Lucinda Archer

27 papers receiving 1.2k citations

Hit Papers

Minimum sample size for external validation of a clinical... 2021 2026 2022 2024 2021 2024 2024 2024 50 100 150
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. Minimum sample size for external validation of a clinical prediction model with a binary outcome
    2021 186 citations Richard D Riley, Thomas P. A. Debray et al. Statistics in Medicine 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 →
  4. Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study
    2024 68 citations Richard D Riley, Kym I E Snell 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
Lucinda Archer United Kingdom 13 274 198 195 170 129 34 1.2k
Chava L. Ramspek Netherlands 16 177 0.6× 225 1.1× 140 0.7× 209 1.2× 122 0.9× 33 1.2k
Pauline Heus Netherlands 17 212 0.8× 202 1.0× 127 0.7× 364 2.1× 179 1.4× 41 1.7k
Pavel S Roshanov Canada 17 293 1.1× 166 0.8× 59 0.3× 244 1.4× 122 0.9× 41 1.5k
Rose Wharton United Kingdom 13 274 1.0× 268 1.4× 77 0.4× 186 1.1× 246 1.9× 24 1.4k
Sacha E. Bleeker Netherlands 9 219 0.8× 295 1.5× 78 0.4× 98 0.6× 160 1.2× 11 1.3k
Jesper Ryg Denmark 24 454 1.7× 240 1.2× 54 0.3× 167 1.0× 96 0.7× 142 2.1k
Eric Widen United States 14 96 0.4× 195 1.0× 169 0.9× 128 0.8× 59 0.5× 19 925
James A Black United Kingdom 11 304 1.1× 148 0.7× 72 0.4× 269 1.6× 48 0.4× 15 1.1k
Kabir Yadav United States 21 384 1.4× 212 1.1× 96 0.5× 88 0.5× 181 1.4× 68 1.5k

Countries citing papers authored by Lucinda Archer

Since Specialization
Citations

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

Fields of papers citing papers by Lucinda Archer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucinda Archer. 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 Lucinda Archer. The network helps show where Lucinda Archer may publish in the future.

Co-authorship network of co-authors of Lucinda Archer

This figure shows the co-authorship network connecting the top 25 collaborators of Lucinda Archer. A scholar is included among the top collaborators of Lucinda Archer 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 Lucinda Archer. Lucinda Archer 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.
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
2.
Koshiaris, Constantinos, Ariel Wang, Lucinda Archer, et al.. (2025). Predicting hypotension, syncope, and fracture risk in patients indicated for antihypertensive treatment: the STRATIFY models. Nature Communications. 16(1). 9371–9371.
3.
Whittle, Rebecca, Joie Ensor, Lucinda Archer, et al.. (2025). Extended sample size calculations for evaluation of prediction models using a threshold for classification. BMC Medical Research Methodology. 25(1). 170–170. 2 indexed citations
4.
5.
Archer, Lucinda, Derbew Fikadu Berhe, J. M. Gill, et al.. (2025). Assessing the potential utility of large language models for assisting community health workers: protocol for a prospective, observational study in Rwanda. BMJ Open. 15(10). e110927–e110927. 1 indexed citations
6.
Riley, Richard D, Joie Ensor, Kym I E Snell, et al.. (2025). Importance of sample size on the quality and utility of AI-based prediction models for healthcare. The Lancet Digital Health. 7(6). 100857–100857. 8 indexed citations
7.
8.
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 →
9.
Pablo, Gonzalo Salazar de, Raquel Iniesta, Alessio Bellato, et al.. (2024). Individualized prediction models in ADHD: a systematic review and meta-regression. Molecular Psychiatry. 29(12). 3865–3873. 6 indexed citations
10.
Moriarty, Andrew S., Lewis W. Paton, Kym I E Snell, et al.. (2024). Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies. SHILAP Revista de lepidopterología. 27(1). e301226–e301226.
11.
Moriarty, Andrew, Lucinda Archer, Kym I E Snell, et al.. (2023). Predicting and preventing relapse of depression in primary care: a mixed methods study. PubMed Central. 4660–4660.
12.
13.
Koshiaris, Constantinos, Lucinda Archer, Sarah Lay‐Flurrie, et al.. (2023). Predicting the risk of acute kidney injury in primary care: derivation and validation of STRATIFY-AKI. British Journal of General Practice. 73(733). e605–e614. 7 indexed citations
14.
15.
Riley, Richard D, Alexander Pate, Paula Dhiman, et al.. (2023). Clinical prediction models and the multiverse of madness. BMC Medicine. 21(1). 502–502. 21 indexed citations
16.
Archer, Lucinda, Constantinos Koshiaris, Sarah Lay‐Flurrie, et al.. (2022). Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study. BMJ. 379. e070918–e070918. 18 indexed citations
17.
Hudda, Mohammed T, Lucinda Archer, Maarten van Smeden, et al.. (2022). Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review. Journal of Clinical Epidemiology. 154. 75–84. 4 indexed citations
18.
Albasri, Ali, Miriam Hattle, Constantinos Koshiaris, et al.. (2021). Association between antihypertensive treatment and adverse events: systematic review and meta-analysis. BMJ. 372. n189–n189. 88 indexed citations
19.
Riley, Richard D, Gary S. Collins, Joie Ensor, et al.. (2021). Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome. Statistics in Medicine. 41(7). 1280–1295. 56 indexed citations
20.
Snell, Kym I E, Lucinda Archer, Joie Ensor, et al.. (2021). External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb. Journal of Clinical Epidemiology. 135. 79–89. 65 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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