Oliver Dukes

856 total citations
31 papers, 526 citations indexed

About

Oliver Dukes is a scholar working on Statistics and Probability, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Oliver Dukes has authored 31 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 8 papers in Economics and Econometrics and 4 papers in Epidemiology. Recurrent topics in Oliver Dukes's work include Advanced Causal Inference Techniques (20 papers), Statistical Methods and Inference (15 papers) and Statistical Methods and Bayesian Inference (11 papers). Oliver Dukes is often cited by papers focused on Advanced Causal Inference Techniques (20 papers), Statistical Methods and Inference (15 papers) and Statistical Methods and Bayesian Inference (11 papers). Oliver Dukes collaborates with scholars based in Belgium, United Kingdom and United States. Oliver Dukes's co-authors include Stijn Vansteelandt, Torben Martinussen, Ellen Fragaszy, Andrew Hayward, Andrew Copas, Lili Wang, Jonathan S. Nguyen‐Van‐Tam, Nilu Goonetilleke, Elizabeth R. C. Millett and Margaret Johnson and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Respiratory and Critical Care Medicine and American Journal of Epidemiology.

In The Last Decade

Oliver Dukes

30 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Dukes Belgium	13	212	179	129	66	54	31	526
Jon Smith United States	5	77 0.4×	19 0.1×	21 0.2×	49 0.7×	18 0.3×	5	344
William C. Louv United States	9	172 0.8×	28 0.2×	43 0.3×	82 1.2×	8 0.1×	21	564
K Muth United States	11	138 0.7×	76 0.4×	30 0.2×	164 2.5×	22 0.4×	20	369
Su H China	12	280 1.3×	50 0.3×	10 0.1×	43 0.7×	8 0.1×	40	583
Jeffrey S. Murray United States	13	322 1.5×	15 0.1×	31 0.2×	355 5.4×	19 0.4×	31	729
Guoxing Soon United States	11	68 0.3×	178 1.0×	9 0.1×	65 1.0×	79 1.5×	25	388
Laurence P. Skendzel United States	8	145 0.7×	34 0.2×	19 0.1×	54 0.8×	16 0.3×	19	364
Hannah Green United Kingdom	14	120 0.6×	7 0.0×	97 0.8×	618 9.4×	22 0.4×	28	962
Henry Rolka United States	11	95 0.4×	48 0.3×	6 0.0×	60 0.9×	18 0.3×	15	398
Roberta Luskin‐Hawk United States	8	233 1.1×	66 0.4×	22 0.2×	270 4.1×	15 0.3×	9	447

Countries citing papers authored by Oliver Dukes

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Dukes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Dukes

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

All Works

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20 of 20 papers shown

Dukes, Oliver, et al.. (2025). Change scores and baseline adjustment: splitting the difference (in differences). International Journal of Epidemiology. 54(3). 1 indexed citations

Dukes, Oliver, et al.. (2024). Using negative controls to identify causal effects with invalid instrumental variables. Biometrika. 112(1). asae064–asae064. 1 indexed citations

Bretz, Frank, et al.. (2024). Covariate adjustment in randomized controlled trials: General concepts and practical considerations. Clinical Trials. 21(4). 399–411. 15 indexed citations

Gao, Fei, et al.. (2024). Generalizing the Intention-to-Treat Effect of an Active Control from Historical Placebo-Controlled Trials: A Case Study of the Efficacy of Daily Oral TDF/FTC in the HPTN 084 Study. Journal of the American Statistical Association. 119(548). 2478–2492.

Richardson, David B., Oliver Dukes, & Eric J. Tchetgen Tchetgen. (2023). Estimating the Effect of a Treatment When There Is Nonadherence in a Trial. American Journal of Epidemiology. 192(10). 1772–1780. 2 indexed citations

Stensrud, Mats Julius & Oliver Dukes. (2022). Translating questions to estimands in randomized clinical trials with intercurrent events. Statistics in Medicine. 41(16). 3211–3228. 20 indexed citations

Dukes, Oliver, et al.. (2022). Demystifying Statistical Learning Based on Efficient Influence Functions. The American Statistician. 76(3). 292–304. 43 indexed citations

Vansteelandt, Stijn, et al.. (2022). Assumption-Lean Cox Regression. Journal of the American Statistical Association. 119(545). 475–484. 9 indexed citations

Dukes, Oliver, et al.. (2021). On Identification of the Principal Stratum Effect in Patients Who Would Comply If Treated. Statistics in Biopharmaceutical Research. 13(4). 508–510. 3 indexed citations

10.

Seaman, Shaun R., Ruth H. Keogh, Oliver Dukes, & Stijn Vansteelandt. (2021). Using generalized linear models to implement g‐estimation for survival data with time‐varying confounding. Statistics in Medicine. 40(16). 3779–3790. 2 indexed citations

11.

Tillmann, Taavi, Kristi Läll, Oliver Dukes, et al.. (2020). Development and validation of two SCORE-based cardiovascular risk prediction models for Eastern Europe: a multicohort study. European Heart Journal. 41(35). 3325–3333. 19 indexed citations

12.

Dukes, Oliver & Stijn Vansteelandt. (2020). Inference for treatment effect parameters in potentially misspecified high-dimensional models. Biometrika. 108(2). 321–334. 9 indexed citations

13.

Dukes, Oliver, et al.. (2018). High-dimensional doubly robust tests for regression parameters. arXiv (Cornell University). 3 indexed citations

14.

Dukes, Oliver, Torben Martinussen, Eric J. Tchetgen Tchetgen, & Stijn Vansteelandt. (2018). On Doubly Robust Estimation of the Hazard Difference. Biometrics. 75(1). 100–109. 21 indexed citations

15.

Vansteelandt, Stijn, Oliver Dukes, & Torben Martinussen. (2017). Survivor bias in Mendelian randomization analysis. Biostatistics. 19(4). 426–443. 32 indexed citations

16.

Fragaszy, Ellen, Charlotte Warren‐Gash, Lili Wang, et al.. (2016). Cohort Profile: The Flu Watch Study. International Journal of Epidemiology. 46(2). dyv370–dyv370. 12 indexed citations

17.

Mehta, Nishchay, Anne GM Schilder, Ellen Fragaszy, et al.. (2016). Antibiotic prescribing in patients with self-reported sore throat. Journal of Antimicrobial Chemotherapy. 72(3). dkw497–dkw497. 18 indexed citations

18.

Goonetilleke, Nilu, A Bermingham, Oliver Dukes, et al.. (2015). NATURAL T CELL MEDIATED PROTECTION AGAINST SEASONAL AND PANDEMIC INFLUENZA. UCL Discovery (University College London). 6 indexed citations

19.

Hayward, Andrew, Lili Wang, Nilu Goonetilleke, et al.. (2015). Natural T Cell–mediated Protection Against Seasonal and Pandemic Influenza. Results of the Flu Watch Cohort Study. American Journal of Respiratory and Critical Care Medicine. 191(12). 1422–1431. 210 indexed citations

20.

Fragaszy, Ellen, et al.. (2015). Serum Albumin Concentrations in a Multi-Ethnic Cohort of Patients with Human Immunodeficiency Virus Infection from South East London. BioResearch open access. 4(1). 160–163. 3 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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