Daniele Codetta‐Raiteri

931 total citations
44 papers, 637 citations indexed

About

Daniele Codetta‐Raiteri is a scholar working on Software, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Daniele Codetta‐Raiteri has authored 44 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Software, 20 papers in Statistics, Probability and Uncertainty and 19 papers in Artificial Intelligence. Recurrent topics in Daniele Codetta‐Raiteri's work include Risk and Safety Analysis (20 papers), Bayesian Modeling and Causal Inference (18 papers) and Software Reliability and Analysis Research (16 papers). Daniele Codetta‐Raiteri is often cited by papers focused on Risk and Safety Analysis (20 papers), Bayesian Modeling and Causal Inference (18 papers) and Software Reliability and Analysis Research (16 papers). Daniele Codetta‐Raiteri collaborates with scholars based in Italy and France. Daniele Codetta‐Raiteri's co-authors include Luigi Portinale, Stefania Montani, Andrea Bobbio, G. Franceschinis, Marco Beccuti, Serge Haddad, Marco Gribaudo, Davide Cerotti and Giovanna Dondossola and has published in prestigious journals such as The EMBO Journal, Reliability Engineering & System Safety and Energies.

In The Last Decade

Daniele Codetta‐Raiteri

41 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Codetta‐Raiteri Italy 12 356 251 190 172 131 44 637
Hichem Boudali Netherlands 8 473 1.3× 410 1.6× 321 1.7× 134 0.8× 146 1.1× 15 788
M. Minichino Italy 6 605 1.7× 248 1.0× 243 1.3× 194 1.1× 95 0.7× 16 800
Ester Ciancamerla Italy 7 607 1.7× 248 1.0× 244 1.3× 199 1.2× 95 0.7× 18 809
Sergio Guarro United States 13 303 0.9× 192 0.8× 227 1.2× 155 0.9× 55 0.4× 44 626
Salvatore J. Bavuso United States 7 350 1.0× 501 2.0× 314 1.7× 126 0.7× 123 0.9× 23 818
Ewen Denney United States 13 218 0.6× 312 1.2× 358 1.9× 59 0.3× 142 1.1× 69 632
Ganesh Pai United States 12 196 0.6× 397 1.6× 323 1.7× 53 0.3× 100 0.8× 32 623
Félicita Di Giandomenico Italy 14 69 0.2× 143 0.6× 100 0.5× 157 0.9× 116 0.9× 85 645
Silvano Chiaradonna Italy 11 71 0.2× 123 0.5× 96 0.5× 144 0.8× 54 0.4× 49 460
Nga Nguyen France 12 54 0.2× 101 0.4× 118 0.6× 113 0.7× 66 0.5× 31 357

Countries citing papers authored by Daniele Codetta‐Raiteri

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Codetta‐Raiteri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Codetta‐Raiteri. 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 Daniele Codetta‐Raiteri. The network helps show where Daniele Codetta‐Raiteri may publish in the future.

Co-authorship network of co-authors of Daniele Codetta‐Raiteri

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Codetta‐Raiteri. A scholar is included among the top collaborators of Daniele Codetta‐Raiteri 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 Daniele Codetta‐Raiteri. Daniele Codetta‐Raiteri 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.
Cerotti, Davide, et al.. (2024). SecuriDN: A Modeling Tool Supporting the Early Detection of Cyberattacks to Smart Energy Systems. Energies. 17(16). 3882–3882.
2.
Codetta‐Raiteri, Daniele, et al.. (2014). Decision Networks for Modeling and Analysis of Attack/Defense Scenarios in Critical Infrastructures. The Florida AI Research Society. 1 indexed citations
3.
Codetta‐Raiteri, Daniele & Luigi Portinale. (2014). Approaching dynamic reliability with predictive and diagnostic purposes by exploiting dynamic Bayesian networks. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 228(5). 488–503. 22 indexed citations
4.
Codetta‐Raiteri, Daniele, et al.. (2014). Quantitative evaluation of attack/defense scenarios through Decision Network modelling and analysis. 1–6. 4 indexed citations
5.
Codetta‐Raiteri, Daniele & Luigi Portinale. (2014). A GSPN based tool to inference Generalized Continuous Time Bayesian Networks. 1 indexed citations
6.
Beccuti, Marco, G. Franceschinis, Daniele Codetta‐Raiteri, & Serge Haddad. (2013). Computing Optimal Repair Strategies by Means of NdRFT Modeling and Analysis. The Computer Journal. 57(12). 1870–1892. 6 indexed citations
7.
Codetta‐Raiteri, Daniele. (2013). A Preliminary Application of Generalized Fault Trees to Security. 609–614.
8.
Portinale, Luigi, et al.. (2012). ARPHA: An Innovative On-Board FDIR Reasoning Engine for Autonomous System. ESASP. 701. 24. 1 indexed citations
9.
Codetta‐Raiteri, Daniele. (2011). Modeling and simulating a benchmark on dynamic reliability as a Stochastic Activity Network. 545–554. 1 indexed citations
10.
Codetta‐Raiteri, Daniele & Luigi Portinale. (2010). Generalized Continuous Time Bayesian Networks and their GSPN Semantics. The EMBO Journal. 15(3). 528–37. 5 indexed citations
11.
Codetta‐Raiteri, Daniele, et al.. (2010). EVALUATION OF COMMUNICATION SCENARIOS INSIDE THE ELECTRICAL POWER SYSTEM. International Journal of Modelling and Simulation. 30(3). 1 indexed citations
12.
Portinale, Luigi, Daniele Codetta‐Raiteri, & Stefania Montani. (2009). Supporting reliability engineers in exploiting the power of Dynamic Bayesian Networks. International Journal of Approximate Reasoning. 51(2). 179–195. 44 indexed citations
13.
Bobbio, Andrea, Daniele Codetta‐Raiteri, Stefania Montani, & Luigi Portinale. (2009). Modeling Cascading Failure Propagation through Dynamic Bayesian Networks. IFAC Proceedings Volumes. 42(5). 209–214. 4 indexed citations
14.
Beccuti, Marco, Daniele Codetta‐Raiteri, G. Franceschinis, & Serge Haddad. (2007). A framework to design and solve Markov Decision Well-formed Net models. 3920. 165–166. 11 indexed citations
15.
Montani, Stefania, Luigi Portinale, Andrea Bobbio, & Daniele Codetta‐Raiteri. (2006). Automatically translating dynamic fault trees into dynamic Bayesian networks by means of a software tool. 1484. 6 pp.–809. 22 indexed citations
16.
Codetta‐Raiteri, Daniele, G. Franceschinis, & Marco Gribaudo. (2006). Defining formalisms and models in the Draw-Net Modeling System. 123–144. 6 indexed citations
17.
Codetta‐Raiteri, Daniele. (2006). BDD based analysis of parametric fault trees. 442–449. 7 indexed citations
18.
Montani, Stefania, et al.. (2006). A tool for automatically translating dynamic fault trees into dynamic bayesian networks. 434–441. 27 indexed citations
19.
Codetta‐Raiteri, Daniele & Andrea Bobbio. (2006). Stochastic Petri Nets Supporting Dynamic Reliability Evaluation. 2 indexed citations
20.
Montani, Stefania, et al.. (2005). DBNet, a tool to convert Dynamic Fault Trees into Dynamic. 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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