Richard D Riley

644 total papers · 49.2k total citations
340 papers, 27.5k citations indexed

About

Richard D Riley is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Richard D Riley has authored 340 papers receiving a total of 27.5k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Statistics, Probability and Uncertainty, 85 papers in Statistics and Probability and 71 papers in Economics and Econometrics. Recurrent topics in Richard D Riley's work include Meta-analysis and systematic reviews (129 papers), Health Systems, Economic Evaluations, Quality of Life (61 papers) and Statistical Methods in Clinical Trials (53 papers). Richard D Riley is often cited by papers focused on Meta-analysis and systematic reviews (129 papers), Health Systems, Economic Evaluations, Quality of Life (61 papers) and Statistical Methods in Clinical Trials (53 papers). Richard D Riley collaborates with scholars based in United Kingdom, Netherlands and United States. Richard D Riley's co-authors include Karel G.M. Moons, Gary S. Collins, Jonathan J Deeks, Julian P. T. Higgins, Joie Ensor, Kym I E Snell, Paul C. Lambert, Johannes B. Reitsma, Thomas P. A. Debray and Dan Jackson and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Richard D Riley

313 papers receiving 27.1k citations

Hit Papers

Interpretation of random ... 2006 2026 2012 2019 2011 2018 2006 2015 2020 500 1000 1.5k 2.0k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Interpretation of random effects meta-analyses
    2011 2.1k citations Richard D Riley, Julian P. T. Higgins et al. BMJ profile →
  2. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
    2018 1.4k citations Robert Wolff, Karel G.M. Moons et al. Annals of Internal Medicine profile →
  3. Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups
    2006 1.4k citations Mary Dixon‐Woods, Debbie Cavers et al. BMC Medical Research Methodology profile →
  4. Preferred Reporting Items for a Systematic Review and Meta-analysis of Individual Participant Data
    2015 1.3k citations Lesley Stewart, Mike Clarke et al. JAMA profile →
  5. Calculating the sample size required for developing a clinical prediction model
    2020 1.2k citations Richard D Riley, Joie Ensor et al. BMJ profile →
  6. Meta-analysis of individual participant data: rationale, conduct, and reporting
    2010 1.1k citations Richard D Riley, Paul C. Lambert et al. BMJ profile →
  7. Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research
    2013 979 citations Ewout W. Steyerberg, Karel G.M. Moons et al. PLoS Medicine profile →
  8. PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration
    2018 923 citations Karel G.M. Moons, Robert Wolff et al. Annals of Internal Medicine profile →
  9. Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
    2018 561 citations Richard D Riley, Kym I E Snell et al. Statistics in Medicine profile →
  10. Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research
    2013 556 citations Richard D Riley, Jill A. Hayden et al. PLoS Medicine profile →
  11. A guide to systematic review and meta-analysis of prognostic factor studies
    2019 510 citations Richard D Riley, Karel G.M. Moons et al. BMJ profile →
  12. Quantifying the impact of between‐study heterogeneity in multivariate meta‐analyses
    2012 481 citations Dan Jackson, Ian R. White et al. Statistics in Medicine profile →
  13. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
    2021 462 citations Gary S. Collins, Paula Dhiman et al. BMJ Open profile →
  14. Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes
    2013 448 citations Harry Hemingway, Peter Croft et al. BMJ profile →
  15. A guide to systematic review and meta-analysis of prediction model performance
    2017 397 citations Thomas P. A. Debray, Johanna AAG Damen et al. BMJ profile →
  16. External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
    2016 346 citations Richard D Riley, Joie Ensor et al. BMJ profile →
  17. Prognosis research strategy (PROGRESS) 4: Stratified medicine research
    2013 343 citations Aroon D. Hingorani, Daniëlle van der Windt et al. BMJ profile →
  18. GRADE Guidelines 28: Use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks
    2020 247 citations Farid Foroutan, Gordon Guyatt et al. Journal of Clinical Epidemiology profile →
  19. Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
    2021 216 citations Constanza L. Andaur Navarro, Johanna AAG Damen et al. BMJ profile →
  20. Minimum sample size for external validation of a clinical prediction model with a binary outcome
    2021 182 citations Richard D Riley, Thomas P. A. Debray et al. Statistics in Medicine profile →
  21. Evaluation of clinical prediction models (part 1): from development to external validation
    2024 169 citations Gary S. Collins, Paula Dhiman et al. BMJ profile →
  22. Evaluation of clinical prediction models (part 2): how to undertake an external validation study
    2024 95 citations Richard D Riley, Lucinda Archer et al. BMJ profile →
  23. Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study
    2024 64 citations Richard D Riley, Kym I E Snell et al. BMJ profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Richard D Riley 4.0k 3.9k 3.5k 2.9k 2.9k 340 27.5k
A. E. Ades 5.1k 1.3× 4.1k 1.0× 3.9k 1.1× 3.3k 1.1× 2.0k 0.7× 282 29.4k
Keith R. Abrams 3.5k 0.9× 3.7k 1.0× 2.5k 0.7× 2.1k 0.7× 1.8k 0.6× 331 22.7k
Georgia Salanti 3.6k 0.9× 5.6k 1.4× 3.8k 1.1× 3.5k 1.2× 3.8k 1.3× 250 37.6k
Alvan R. Feinstein 4.8k 1.2× 4.7k 1.2× 2.7k 0.7× 4.9k 1.7× 3.1k 1.1× 357 32.1k
Philippe Ravaud 3.9k 1.0× 6.1k 1.6× 4.0k 1.1× 2.2k 0.8× 2.9k 1.0× 544 30.3k
Nicky J. Welton 3.0k 0.8× 3.1k 0.8× 2.4k 0.7× 2.2k 0.8× 1.8k 0.6× 266 19.3k
Jesse A. Berlin 4.5k 1.1× 6.9k 1.8× 2.9k 0.8× 3.6k 1.2× 5.1k 1.8× 289 39.6k
James R. Carpenter 3.1k 0.8× 2.6k 0.7× 1.7k 0.5× 1.8k 0.6× 1.8k 0.6× 322 25.2k
Kay Dickersin 2.6k 0.7× 4.1k 1.0× 5.3k 1.5× 2.4k 0.8× 2.1k 0.7× 163 28.0k
Alex J. Sutton 5.0k 1.3× 6.2k 1.6× 5.4k 1.5× 3.7k 1.3× 3.5k 1.2× 324 44.3k

Countries citing papers authored by Richard D Riley

Since Specialization
Citations

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

Fields of papers citing papers by Richard D Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard D Riley. 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 Richard D Riley. The network helps show where Richard D Riley may publish in the future.

Co-authorship network of co-authors of Richard D Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D Riley. A scholar is included among the top collaborators of Richard D Riley 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 Richard D Riley. Richard D Riley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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