F. Postiglione

10.8k total citations
48 papers, 400 citations indexed

About

F. Postiglione is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, F. Postiglione has authored 48 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 17 papers in Electrical and Electronic Engineering and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in F. Postiglione's work include Software-Defined Networks and 5G (20 papers), Reliability and Maintenance Optimization (9 papers) and Network Traffic and Congestion Control (9 papers). F. Postiglione is often cited by papers focused on Software-Defined Networks and 5G (20 papers), Reliability and Maintenance Optimization (9 papers) and Network Traffic and Congestion Control (9 papers). F. Postiglione collaborates with scholars based in Italy, United States and China. F. Postiglione's co-authors include M. Longo, Mario Di Mauro, Maurizio Guida, Gianpaolo Pulcini, Walter Zamboni, Éric Monmasson, Luigi De Simone, Massimiliano Giorgio, Roberto Natella and Giuseppe De Marco and has published in prestigious journals such as IEEE Communications Magazine, Energy and Reliability Engineering & System Safety.

In The Last Decade

F. Postiglione

42 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Postiglione Italy 11 176 145 86 53 53 48 400
Zhiying Wu China 12 100 0.6× 126 0.9× 55 0.6× 36 0.7× 242 4.6× 30 467
Akhilesh Shrestha United States 11 166 0.9× 78 0.5× 226 2.6× 16 0.3× 45 0.8× 18 436
Xining Li China 9 53 0.3× 161 1.1× 19 0.2× 167 3.2× 82 1.5× 53 366
Tao Zheng China 13 97 0.6× 529 3.6× 26 0.3× 14 0.3× 227 4.3× 98 687
Hongsheng Su China 9 21 0.1× 184 1.3× 73 0.8× 18 0.3× 173 3.3× 90 387
Washington Velásquez Ecuador 9 72 0.4× 89 0.6× 33 0.4× 21 0.4× 60 1.1× 42 291
Minfang Peng China 12 71 0.4× 217 1.5× 39 0.5× 13 0.2× 169 3.2× 66 431
Yanyan Hu China 12 227 1.3× 82 0.6× 16 0.2× 32 0.6× 257 4.8× 48 474
Lui Wang United States 8 22 0.1× 24 0.2× 31 0.4× 27 0.5× 63 1.2× 26 319

Countries citing papers authored by F. Postiglione

Since Specialization
Citations

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

Fields of papers citing papers by F. Postiglione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Postiglione

This figure shows the co-authorship network connecting the top 25 collaborators of F. Postiglione. A scholar is included among the top collaborators of F. Postiglione 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 F. Postiglione. F. Postiglione 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.
Simone, Luigi De, Mario Di Mauro, Roberto Natella, & F. Postiglione. (2024). Performability Evaluation of Softwarized Multi-Tenant 5G Architectures with Rejuvenation. 1–6.
2.
Simone, Luigi De, Mario Di Mauro, Roberto Natella, & F. Postiglione. (2024). Performance and Availability Challenges in Designing Resilient 5G Architectures. IEEE Transactions on Network and Service Management. 21(5). 5291–5303. 10 indexed citations
3.
Simone, Luigi De, Mario Di Mauro, M. Longo, Roberto Natella, & F. Postiglione. (2023). Multi-Provider IMS Infrastructure With Controlled Redundancy: A Performability Evaluation. IEEE Transactions on Network and Service Management. 20(4). 3984–3998. 4 indexed citations
4.
Simone, Luigi De, Mario Di Mauro, M. Longo, Roberto Natella, & F. Postiglione. (2022). Performability Assessment of Containerized Multi-Tenant IMS through Multidimensional UGF. 145–153. 4 indexed citations
5.
6.
Giorgio, Massimiliano, F. Postiglione, & Gianpaolo Pulcini. (2020). Bayesian estimation and prediction for the transformed Wiener degradation process. Applied Stochastic Models in Business and Industry. 36(4). 660–678. 8 indexed citations
7.
Mauro, Mario Di, et al.. (2020). A Tool for Automated Generation of Availability Models for Service Function Chains. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 446–451.
8.
Giorgio, Massimiliano, F. Postiglione, & Gianpaolo Pulcini. (2019). A Bayesian Estimation Approach for the Age- and State-Dependent Transformed Wiener Degradation Process. Proceedings of the 29th European Safety and Reliability Conference (ESREL). 707–714.
9.
Mauro, Mario Di, M. Longo, & F. Postiglione. (2018). Availability Evaluation of Multi-Tenant Service Function Chaining Infrastructures by Multidimensional Universal Generating Function. IEEE Transactions on Services Computing. 14(5). 1320–1332. 42 indexed citations
10.
Mauro, Mario Di, M. Longo, & F. Postiglione. (2017). Performability Evaluation of Software Defined Networking Infrastructures. 2 indexed citations
11.
Mauro, Mario Di, et al.. (2017). Service function chaining deployed in an NFV environment: An availability modeling. 42–47. 27 indexed citations
12.
Sorrentino, Marco, Dario Marra, Cesare Pianese, et al.. (2014). On the Use of Neural Networks and Statistical Tools for Nonlinear Modeling and On-field Diagnosis of Solid Oxide Fuel Cell Stacks. Energy Procedia. 45. 298–307. 30 indexed citations
13.
Mauro, Mario Di, et al.. (2011). An architecture for threats detection in mobile operators networks. International Conference on Software, Telecommunications and Computer Networks. 1–5.
14.
Guida, Maurizio, M. Longo, & F. Postiglione. (2010). Performance Evaluation of IMS-Based Core Networks in Presence of Failures. 1–5. 10 indexed citations
15.
Guida, Maurizio, M. Longo, & F. Postiglione. (2009). Reliability Analysis of IMS Signaling Networks. 1–5. 1 indexed citations
16.
Guida, Maurizio, M. Longo, & F. Postiglione. (2008). Reliability and survivability methodologies for next generation networks. 326–331. 2 indexed citations
17.
Bourguignon, Françoìs, et al.. (2005). PARIS-JOURDAN SCIENCES ECONOMIQUES. 1 indexed citations
18.
Croce, R. P., T. Demma, Vincenzo Galdi, et al.. (2004). Rejection properties of stochastic-resonance-based detectors of weak harmonic signals. Physical Review E. 69(6). 62104–62104. 5 indexed citations
19.
Longo, M., et al.. (2004). An IP-based Conference Architecture for Beyond-3G Networks. 1. 55–59. 1 indexed citations
20.
Croce, R. P., T. Demma, V. Pierro, I. M. Pinto, & F. Postiglione. (2000). Nearly minimum redundant correlator interpolation formula for gravitational wave chirp detection. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 62(12). 8 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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