Matteo Quartagno

2.2k citations
41 papers · 761 · h-index 14

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 12
    • Statistical Methods in Clinical Trials 7
    • Advanced Causal Inference Techniques 5
    • Statistical Methods and Inference 4
    • Cancer Immunotherapy and Biomarkers 5

Matteo Quartagno

35 papers receiving 753 citations

Peers

Matteo Quartagno
Comparison fields: 5 of 105
  • Statistics and Probability 175
  • Statistics, Probability and Uncertainty 41
  • Oncology 91
  • Pediatrics, Perinatology and Child Health 59
  • Biological Psychiatry 7
Replace Claire Keeble with:
Claire Keeble United Kingdom
Tra My Pham United Kingdom
Bennett Levitan United States
Lucia C. Petito United States
Kellyn F Arnold United Kingdom
Shahab Jolani Netherlands
Laura Flight United Kingdom
Airlane Pereira Alencar Brazil
Bo Fu China
Thomas Klausch Netherlands
Matteo Quartagno relative to Claire Keeble United Kingdom Claire Keeble's profile →
Citations per field
00.5×1.5×2.2×
Claire Keeble · 1×
Citations per year

Countries citing papers authored by Matteo Quartagno

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Quartagno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Quartagno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matteo Quartagno Line = papers co-authored together Matteo Quartagno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202097
2 201994
3 201892
4 202162
5 201559
6 202037
7 201936
8 202336
9 201932
10 201931
11 202027
12 201819
13 202314
14 202013
15 202212
16 202311
17 201910
18
jomo: Multilevel Joint Modelling Multiple Imputation
201610
19 20227
20 20237

About Matteo Quartagno

Matteo Quartagno is a scholar working on Statistics and Probability, Oncology, Economics and Econometrics, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 761 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Statistical Methods in Clinical Trials (7 papers), Advanced Causal Inference Techniques (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Statistical Methods and Inference (4 papers), Global Maternal and Child Health (3 papers) and Meta-analysis and systematic reviews (3 papers). The work is most often cited by research in Statistics and Probability (175 citations), Statistics, Probability and Uncertainty (41 citations), Oncology (91 citations), Pediatrics, Perinatology and Child Health (59 citations) and Biological Psychiatry (7 citations). Matteo Quartagno has collaborated with scholars based in United Kingdom, Kenya and Netherlands. Frequent co-authors include James R. Carpenter, Simon Grund, Ian R. White, Vincent Audigier, Matthieu Resche‐Rigon, Harvey Goldstein, Shahab Jolani, Stef van Buuren, Thomas P. A. Debray and Tim P. Morris. Their work appears in journals such as Statistics in Medicine, Contemporary Clinical Trials, Clinical Trials, Biometrical Journal and The Lancet Oncology.

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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