Silvia Metelli

550 total citations · 1 hit paper
11 papers, 250 citations indexed

About

Silvia Metelli is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Silvia Metelli has authored 11 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Computer Networks and Communications. Recurrent topics in Silvia Metelli's work include Statistical Methods and Bayesian Inference (3 papers), Complex Network Analysis Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Silvia Metelli is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Complex Network Analysis Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Silvia Metelli collaborates with scholars based in United Kingdom, France and Greece. Silvia Metelli's co-authors include Anna Chaimani, Carla Rampichini, Leonardo Grilli, Nicholas A. Heard, Simone Claudiani, Mhairi Copland, Gillian A. Horne, Nikolaos Fragakis, Jamshid S. Khorashad and Lars Karlsson and has published in prestigious journals such as Blood, BMC Medicine and Journal of the Royal Statistical Society Series A (Statistics in Society).

In The Last Decade

Silvia Metelli

11 papers receiving 250 citations

Hit Papers

Challenges in meta-analyses with observational studies 2020 2026 2022 2024 2020 50 100 150

Peers

Silvia Metelli
Noah A. Schuster Netherlands
Jaeun Choi United States
Anthony G. Sena United States
Christine Lundquist United States
Hannah Johns Australia
Matthew Tudball United Kingdom
Noah A. Schuster Netherlands
Silvia Metelli
Citations per year, relative to Silvia Metelli Silvia Metelli (= 1×) peers Noah A. Schuster

Countries citing papers authored by Silvia Metelli

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Metelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Metelli

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

All Works

11 of 11 papers shown
1.
Evrenoglou, Theodoros, Silvia Metelli, Spyridon Siafis, et al.. (2024). Sharing information across patient subgroups to draw conclusions from sparse treatment networks. Biometrical Journal. 66(3). e2200316–e2200316. 1 indexed citations
2.
Metelli, Silvia, Dimitris Mavridis, Perrine Créquit, & Anna Chaimani. (2023). Bayesian model-based outlier detection in network meta-analysis. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(4). 754–771. 1 indexed citations
3.
Charitakis, Emmanouil, Silvia Metelli, Lars Karlsson, et al.. (2022). Comparing efficacy and safety in catheter ablation strategies for atrial fibrillation: a network meta-analysis. BMC Medicine. 20(1). 193–193. 10 indexed citations
4.
Charitakis, Emmanouil, Silvia Metelli, Lars Karlsson, et al.. (2022). Comparing Efficacy and Safety in Catheter Ablation Strategies for Paroxysmal Atrial Fibrillation: A Network Meta-Analysis of Randomized Controlled Trials. Diagnostics. 12(2). 433–433. 4 indexed citations
5.
Metelli, Silvia & Anna Chaimani. (2020). Challenges in meta-analyses with observational studies. Evidence-Based Mental Health. 23(2). 83–87. 194 indexed citations breakdown →
6.
Claudiani, Simone, Silvia Metelli, Richard Szydlo, et al.. (2019). Introducing a Predictive Score for Successful Treatment Free Remission in Chronic Myeloid Leukemia (CML). Blood. 134(Supplement_1). 26–26. 8 indexed citations
7.
Metelli, Silvia & Nicholas A. Heard. (2019). On Bayesian new edge prediction and anomaly detection in computer networks. The Annals of Applied Statistics. 13(4). 6 indexed citations
8.
Metelli, Silvia & Nicholas A. Heard. (2016). Model-based clustering and new edge modelling in large computer networks. Spiral (Imperial College London). 91–96. 3 indexed citations
9.
Grilli, Leonardo, Silvia Metelli, & Carla Rampichini. (2014). Bayesian estimation with integrated nested Laplace approximation for binary logit mixed models. Journal of Statistical Computation and Simulation. 85(13). 2718–2726. 18 indexed citations
10.
Metelli, Silvia & Nicholas A. Heard. (2014). Modelling New Edge Formation in a Computer Network through Bayesian Variable Selection. Spiral (Imperial College London). 45. 272–275. 3 indexed citations
11.
Metelli, Silvia, Leonardo Grilli, & Carla Rampichini. (2013). Bayesian estimation with INLA for logistic multilevel models. 693–696. 2 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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