Davide Cerotti

495 total citations
25 papers, 221 citations indexed

About

Davide Cerotti is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Davide Cerotti has authored 25 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 10 papers in Information Systems and 5 papers in Hardware and Architecture. Recurrent topics in Davide Cerotti's work include Cloud Computing and Resource Management (6 papers), Mobile Ad Hoc Networks (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Davide Cerotti is often cited by papers focused on Cloud Computing and Resource Management (6 papers), Mobile Ad Hoc Networks (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Davide Cerotti collaborates with scholars based in Italy, Russia and United States. Davide Cerotti's co-authors include Marco Gribaudo, Andrea Bobbio, Susanna Donatelli, G. Franceschinis, Marco Beccuti, Antonio Puliafito, Salvatore Distefano, Pietro Piazzolla, Giovanni Merlino and Dario Bruneo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Reliability Engineering & System Safety.

In The Last Decade

Davide Cerotti

24 papers receiving 209 citations

Peers

Davide Cerotti
Yuqi Chen China
Philipp Reinecke United Kingdom
Lee United States
Michele Sevegnani United Kingdom
Mariem Gzara Tunisia
Davide Cerotti
Citations per year, relative to Davide Cerotti Davide Cerotti (= 1×) peers Leı̈la Kloul

Countries citing papers authored by Davide Cerotti

Since Specialization
Citations

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

Fields of papers citing papers by Davide Cerotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Cerotti

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Cerotti. A scholar is included among the top collaborators of Davide Cerotti 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 Davide Cerotti. Davide Cerotti 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.
Cerotti, Davide, et al.. (2020). Evidence-Based Analysis of Cyber Attacks to Security Monitored Distributed Energy Resources. Applied Sciences. 10(14). 4725–4725. 6 indexed citations
3.
Cerotti, Davide, Antonio Miele, Marco Gribaudo, Andrea Bobbio, & Cristiana Bolchini. (2019). Scalable analytical model for reliability measures in aging VLSI by interacting Markovian agents. Performance Evaluation. 132. 21–37. 1 indexed citations
4.
Pinciroli, Riccardo, Andrea Bobbio, Cristiana Bolchini, et al.. (2017). Epistemic uncertainty propagation in a Weibull environment for a two-core system-on-chip. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 516–520. 2 indexed citations
5.
Bobbio, Andrea, Cristiana Bolchini, Davide Cerotti, Marco Gribaudo, & Antonio Miele. (2017). Scalable analytical model of the reliability of multi-core systems-on-chip by interacting Markovian agents. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 156–163. 1 indexed citations
6.
Cerotti, Davide, Salvatore Distefano, Giovanni Merlino, & Antonio Puliafito. (2016). A Crowd-Cooperative Approach for Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 1–11. 28 indexed citations
7.
Cerotti, Davide, Marco Gribaudo, Pietro Piazzolla, & Giuseppe Serazzi. (2015). Asymptotic Behavior and Performance Constraints of Replication Policies. Electronic Notes in Theoretical Computer Science. 310. 49–63. 2 indexed citations
8.
Cerotti, Davide, Marco Gribaudo, Mauro Iacono, & Pietro Piazzolla. (2015). Modeling and analysis of performances for concurrent multithread applications on multicore and graphics processing unit systems. Concurrency and Computation Practice and Experience. 28(2). 438–452. 9 indexed citations
9.
Cerotti, Davide, Marco Gribaudo, Pietro Piazzolla, Riccardo Pinciroli, & Giuseppe Serazzi. (2015). Multi-Class Queuing Networks Models for Energy Optimization. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Bolzern, Paolo, Davide Cerotti, Patrizio Colaneri, & Marco Gribaudo. (2014). Probabilistic consensus in Markovian multi-agent networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 558–563. 3 indexed citations
11.
Cerotti, Davide, Marco Gribaudo, Mauro Iacono, & Pietro Piazzolla. (2014). Workload Characterization Of Multithreaded Applications On Multicore Architectures. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 480–486. 3 indexed citations
12.
Gribaudo, Marco, Davide Cerotti, Pietro Piazzolla, & Giuseppe Serazzi. (2014). Performance optimization with JMT: Java Modelling Tools. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1 indexed citations
13.
Cerotti, Davide, Marco Gribaudo, Pietro Piazzolla, & Giuseppe Serazzi. (2014). Matching performance objectives for open and closed workloads by consolidation and replication. Annals of Operations Research. 239(2). 589–612. 1 indexed citations
14.
Cerotti, Davide, Marco Gribaudo, & Andrea Bobbio. (2014). Markovian agents models for wireless sensor networks deployed in environmental protection. Reliability Engineering & System Safety. 130. 149–158. 12 indexed citations
15.
Cerotti, Davide, Marco Gribaudo, Pietro Piazzolla, & Giuseppe Serazzi. (2012). Flexible CPU Provisioning in Clouds: A New Source of Performance Unpredictability. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 230–237. 11 indexed citations
16.
Bruneo, Dario, Marco Scarpa, Andrea Bobbio, Davide Cerotti, & Marco Gribaudo. (2011). Markovian agent modeling swarm intelligence algorithms in wireless sensor networks. Performance Evaluation. 69(3-4). 135–149. 21 indexed citations
17.
Bruneo, Dario, Marco Scarpa, Andrea Bobbio, Davide Cerotti, & Marco Gribaudo. (2010). Adaptive swarm intelligence routing algorithms for WSN in a changing environment. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1813–1818. 3 indexed citations
18.
Beccuti, Marco, et al.. (2009). The GreatSPN tool. ACM SIGMETRICS Performance Evaluation Review. 36(4). 4–9. 70 indexed citations
19.
Gribaudo, Marco, Davide Cerotti, & Andrea Bobbio. (2008). Analysis of On-off policies in Sensor Networks Using Interacting Markovian Agents. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 300–305. 18 indexed citations
20.
Cerotti, Davide, et al.. (2006). Verifying Stochastic Well-formed Nets with CSL Model-Checking Tools. 4. 143–152. 4 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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