Marco Carone

3.7k total citations
81 papers, 2.0k citations indexed

About

Marco Carone is a scholar working on Statistics and Probability, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Marco Carone has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 10 papers in Epidemiology. Recurrent topics in Marco Carone's work include Statistical Methods and Inference (20 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods and Bayesian Inference (11 papers). Marco Carone is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods and Bayesian Inference (11 papers). Marco Carone collaborates with scholars based in United States, Canada and Netherlands. Marco Carone's co-authors include Farrah J. Mateen, Mark J. van der Laan, Romain Pirracchio, Peter B. Gilbert, David M. Yousem, Sylvie Chevret, Maya Petersen, Matthieu Resche‐Rigon, David Benkeser and Anand V. Sahai and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Marco Carone

77 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Carone United States 25 319 268 249 226 209 81 2.0k
Carmén Cadarso-Suárez Spain 28 307 1.0× 516 1.9× 259 1.0× 203 0.9× 172 0.8× 130 3.3k
Maria Blettner Germany 29 354 1.1× 279 1.0× 231 0.9× 134 0.6× 287 1.4× 53 2.9k
Meng Sha China 18 234 0.7× 104 0.4× 250 1.0× 374 1.7× 211 1.0× 80 2.7k
Jessica Barrett United Kingdom 23 412 1.3× 366 1.4× 657 2.6× 235 1.0× 139 0.7× 67 3.9k
Bo Zhang United States 25 486 1.5× 114 0.4× 166 0.7× 141 0.6× 282 1.3× 226 2.4k
Ruwanthi Kolamunnage‐Dona United Kingdom 26 486 1.5× 369 1.4× 216 0.9× 192 0.8× 91 0.4× 73 2.1k
Priya Ranganathan India 22 250 0.8× 84 0.3× 390 1.6× 242 1.1× 149 0.7× 89 2.7k
Karel G. M. Moons Netherlands 16 551 1.7× 164 0.6× 679 2.7× 191 0.8× 352 1.7× 33 3.3k
Menelaos Pavlou United Kingdom 19 346 1.1× 175 0.7× 277 1.1× 86 0.4× 174 0.8× 41 2.4k
Danielle Burke United Kingdom 18 280 0.9× 215 0.8× 414 1.7× 143 0.6× 100 0.5× 35 2.5k

Countries citing papers authored by Marco Carone

Since Specialization
Citations

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

Fields of papers citing papers by Marco Carone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Carone

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Carone. A scholar is included among the top collaborators of Marco Carone 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 Marco Carone. Marco Carone 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.
Carone, Marco & Andrea Rotnitzky. (2025). Reinforcement Learning for Finding Optimal Dynamic Treatment Regimes Using Observational Data. JAMA. 335(3). 267–267.
2.
Blanco, Magali N., Rachel M. Shaffer, Sara D. Adar, et al.. (2024). Traffic-related air pollution and dementia incidence in the Adult Changes in Thought Study. Environment International. 183. 108418–108418. 6 indexed citations
3.
Gilbert, Peter B., Youyi Fong, Nima S. Hejazi, et al.. (2024). Four statistical frameworks for assessing an immune correlate of protection (surrogate endpoint) from a randomized, controlled, vaccine efficacy trial. Vaccine. 42(9). 2181–2190. 5 indexed citations
4.
Cox, Sarah N., Emily Scott, Julia H. Rogers, et al.. (2023). Burden of long COVID among adults experiencing sheltered homelessness: a longitudinal cohort study in King County, WA between September 2020—April 2022. BMC Public Health. 23(1). 1079–1079. 3 indexed citations
5.
Luedtke, Alex, et al.. (2022). Deep Learning for Marginal Bayesian Posterior Inference with Recurrent Neural Networks. Statistica Sinica. 33(SI). 1507–1532. 2 indexed citations
6.
Williamson, Brian D., Peter B. Gilbert, Marco Carone, & Noah Simon. (2020). Nonparametric variable importance assessment using machine learning techniques. Biometrics. 77(1). 9–22. 54 indexed citations
7.
Magaret, Craig A., David Benkeser, Brian D. Williamson, et al.. (2019). Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. PLoS Computational Biology. 15(4). e1006952–e1006952. 27 indexed citations
8.
Whitney, David J., Ali Shojaie, & Marco Carone. (2019). Comment: Models as (Deliberate) Approximations. Statistical Science. 34(4). 591–598. 7 indexed citations
9.
Feng, Jean, Brian D. Williamson, Noah Simon, & Marco Carone. (2018). Nonparametric variable importance using an augmented neural network with multi-task learning. International Conference on Machine Learning. 1496–1505. 2 indexed citations
10.
Jang, Minyoung, et al.. (2018). Impact of poorly controlled epilepsy in the Republic of Guinea. Seizure. 61. 71–77. 17 indexed citations
11.
Mateen, Farrah J., et al.. (2017). Areca catechu (palm tree) nut chewing and seizures: An observational study. Epilepsy & Behavior. 74. 76–80. 7 indexed citations
12.
Carone, Marco, et al.. (2016). Comparing Preliminary and Final Neuroradiology Reports: What Factors Determine the Differences?. American Journal of Neuroradiology. 37(11). 1977–1982. 2 indexed citations
13.
Díaz, Iván, Marco Carone, & Mark J. van der Laan. (2016). Second-Order Inference for the Mean of a Variable Missing at Random. The International Journal of Biostatistics. 12(1). 333–349. 5 indexed citations
14.
Pirracchio, Romain, Maya Petersen, Marco Carone, et al.. (2014). Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study. The Lancet Respiratory Medicine. 3(1). 42–52. 251 indexed citations
15.
Carone, Marco, Masoud Asgharian, & Nicholas P. Jewell. (2013). Estimating the Lifetime Risk of Dementia in the Canadian Elderly Population Using Cross-Sectional Cohort Survival Data. Journal of the American Statistical Association. 109(505). 24–35. 26 indexed citations
16.
Carone, Marco, Netsiri Dumrongpisutikul, Jarunee Intrapiromkul, et al.. (2012). Imaging Characteristics of Oligodendrogliomas That Predict Grade. American Journal of Neuroradiology. 33(5). 852–857. 51 indexed citations
17.
Casey, Gerard J., et al.. (2012). Increased Birth Weight Associated with Regular Pre-Pregnancy Deworming and Weekly Iron-Folic Acid Supplementation for Vietnamese Women. PLoS neglected tropical diseases. 6(4). e1608–e1608. 33 indexed citations
18.
Mateen, Farrah J., Rajanandini Muralidharan, Marco Carone, et al.. (2011). Progressive multifocal leukoencephalopathy in transplant recipients. Annals of Neurology. 70(2). 305–322. 118 indexed citations
19.
Carone, Marco, et al.. (2011). Sacroiliac joint vacuum phenomenon—underreported finding. Clinical Imaging. 35(6). 465–469. 16 indexed citations
20.
Leibler, Jessica H., Marco Carone, & Ellen K. Silbergeld. (2010). Contribution of Company Affiliation and Social Contacts to Risk Estimates of Between-Farm Transmission of Avian Influenza. PLoS ONE. 5(3). e9888–e9888. 22 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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