Fabrizio Ruggeri

4.1k citations
122 papers · 2.0k · h-index 23

Impact in

Papers in

Fabrizio Ruggeri

108 papers receiving 1.9k citations

Peers

Fabrizio Ruggeri
Comparison fields: 5 of 162
  • Statistics, Probability and Uncertainty 688
  • Statistics and Probability 530
  • Radiological and Ultrasound Technology 138
  • Management Science and Operations Research 302
  • Software 90
Replace Thomas A. Mazzuchi with:
Thomas A. Mazzuchi United States
Johan René van Dorp United States
Tim Bedford United Kingdom
David Rı́os Insua Spain
Vicki M. Bier United States
Jian-Bo Yang United Kingdom
Babak Abbasi Australia
Prakash P. Shenoy United States
Jason R. W. Merrick United States
Lawrence M. Leemis United States
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Citations per field
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Thomas A. Mazzuchi · 1×
Citations per year

Countries citing papers authored by Fabrizio Ruggeri

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Ruggeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabrizio Ruggeri, 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 Fabrizio Ruggeri Line = papers co-authored together Fabrizio Ruggeri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007409
2 2000115
3 200198
4 200077
5 201960
6 201652
7 201550
8
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
201448
9 200343
10
BAMS Method: Theory and Simulations
200142
11 201238
12 201233
13 201931
14 200430
15 199830
16 201830
17 200728
18 199327
19 201825
20 199225

About Fabrizio Ruggeri

Fabrizio Ruggeri is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Artificial Intelligence, Safety, Risk, Reliability and Quality and Management Science and Operations Research, having authored 122 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (18 papers), Advanced Statistical Process Monitoring (18 papers), Advanced Statistical Methods and Models (17 papers), Risk and Safety Analysis (15 papers), Probabilistic and Robust Engineering Design (14 papers), Reliability and Maintenance Optimization (13 papers), Statistical Methods and Bayesian Inference (11 papers) and Bayesian Modeling and Causal Inference (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (688 citations), Statistics and Probability (530 citations), Radiological and Ultrasound Technology (138 citations), Management Science and Operations Research (302 citations) and Software (90 citations). Fabrizio Ruggeri has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include David Rı́os Insua, Enrico Cagno, Paolo Trucco, Víctor Leiva, Michael P. Wiper, Brani Vidaković, Antonio Pievatolo, Franco Caron, Refik Soyer and Mauro Mancini. Their work appears in journals such as Reliability Engineering & System Safety, Journal of Statistical Planning and Inference, International Journal of Approximate Reasoning, Bayesian Analysis and Applied Stochastic Models in Business and Industry.

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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