Monica Vitali

636 total citations
30 papers, 313 citations indexed

About

Monica Vitali is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Monica Vitali has authored 30 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 14 papers in Information Systems and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Monica Vitali's work include Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (11 papers) and Green IT and Sustainability (10 papers). Monica Vitali is often cited by papers focused on Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (11 papers) and Green IT and Sustainability (10 papers). Monica Vitali collaborates with scholars based in Italy, Germany and United States. Monica Vitali's co-authors include Cinzia Cappiello, Barbara Pernici, Pierluigi Plebani, Danilo Ardagna, Edoardo Fadda, Alexandre Ferreira, Una-May O’Reilly, Mariagrazia Fugini, Usman Wajid and Kostas Kavoussanakis and has published in prestigious journals such as IEEE Access, Information Sciences and Future Generation Computer Systems.

In The Last Decade

Monica Vitali

26 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica Vitali Italy 11 156 146 75 60 56 30 313
Izabella Lokshina United States 8 65 0.4× 87 0.6× 96 1.3× 34 0.6× 69 1.2× 46 270
Ana Radovanović United States 12 102 0.7× 257 1.8× 76 1.0× 132 2.2× 48 0.9× 33 462
Tony Field United Kingdom 10 61 0.4× 138 0.9× 36 0.5× 33 0.6× 19 0.3× 24 309
Muhammad Ehsan Rana Malaysia 12 121 0.8× 88 0.6× 44 0.6× 50 0.8× 14 0.3× 106 394
Thomas Setzer Germany 12 288 1.8× 270 1.8× 51 0.7× 79 1.3× 63 1.1× 40 466
Tobias Conte Germany 7 104 0.7× 40 0.3× 59 0.8× 88 1.5× 49 0.9× 29 288
Somnath Mazumdar Denmark 10 177 1.1× 190 1.3× 29 0.4× 52 0.9× 20 0.4× 30 308
Bouchaïb Bounabat Morocco 8 57 0.4× 77 0.5× 57 0.8× 12 0.2× 26 0.5× 50 255
Ana Respício Portugal 10 109 0.7× 53 0.4× 43 0.6× 10 0.2× 56 1.0× 32 280
Morgen E. Peck United States 8 328 2.1× 117 0.8× 76 1.0× 92 1.5× 13 0.2× 8 424

Countries citing papers authored by Monica Vitali

Since Specialization
Citations

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

Fields of papers citing papers by Monica Vitali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Vitali

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Vitali. A scholar is included among the top collaborators of Monica Vitali 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 Monica Vitali. Monica Vitali 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.
Potika, Katerina, et al.. (2025). Special issue on big data computing service and machine learning applications. Future Generation Computer Systems. 171. 107836–107836.
2.
Soldani, Jacopo, Roberto Amadini, Antonio Brogi, et al.. (2024). Towards Sustainable Deployment of Microservices over the Cloud-IoT Continuum, with FREEDA. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4.
3.
Vitali, Monica, et al.. (2024). Balancing Environmental Sustainability and User Experience: Preliminary Insights from Green Search Engines. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 1 indexed citations
4.
Metsch, Thijs, et al.. (2023). Intent-Driven Orchestration: Enforcing Service Level Objectives for Cloud Native Deployments. SN Computer Science. 4(3). 9 indexed citations
5.
Plebani, Pierluigi, et al.. (2022). Efficient Data as a Service in Fog Computing: An Adaptive Multi-Agent Based Approach. IEEE Transactions on Cloud Computing. 11(3). 2646–2663. 3 indexed citations
6.
Vitali, Monica, Pierluigi Plebani, David Bermbach, & Erik Elmroth. (2021). Special issue on co-design of data and computation management in Fog Computing. Future Generation Computer Systems. 129. 423–424. 1 indexed citations
7.
Cappiello, Cinzia, Barbara Pernici, Pierluigi Plebani, et al.. (2020). Improving Health Monitoring With Adaptive Data Movement in Fog Computing. Frontiers in Robotics and AI. 7. 96–96. 3 indexed citations
8.
Fadda, Edoardo, Pierluigi Plebani, & Monica Vitali. (2019). Monitoring-Aware Optimal Deployment for Applications Based on Microservices. IEEE Transactions on Services Computing. 14(6). 1849–1863. 16 indexed citations
9.
Fiore, Sandro, Donatello Elia, Carlos Eduardo Santos Pires, et al.. (2019). An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management. IEEE Access. 7. 117652–117677. 39 indexed citations
10.
Ardagna, Danilo, et al.. (2018). Context-aware data quality assessment for big data. Future Generation Computer Systems. 89. 548–562. 70 indexed citations
11.
Cappiello, Cinzia, et al.. (2018). Quality awareness for a Successful Big Data Exploitation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 37–44. 16 indexed citations
12.
Plebani, Pierluigi, David Bermbach, Cinzia Cappiello, et al.. (2017). Information Logistics and Fog Computing: The DITAS* Approach.. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 129–136. 7 indexed citations
13.
Cappiello, Cinzia, et al.. (2017). Towards Reliable Data Analyses for Smart Cities. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 304–308. 6 indexed citations
14.
Fugini, Mariagrazia, et al.. (2016). Uso delle piattaforme ICT a supporto dei servizi socio-sanitari: il progetto Attiv@bili. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 125–140.
15.
Vitali, Monica & Barbara Pernici. (2014). A Survey on Energy Efficiency in Information Systems. International Journal of Cooperative Information Systems. 23(3). 1450001–1450001. 10 indexed citations
16.
Cappiello, Cinzia, Paco Melià, Barbara Pernici, Pierluigi Plebani, & Monica Vitali. (2014). Sustainable choices for cloud applications: a focus on CO2 emissions. Advances in computer science research. 6 indexed citations
17.
Cappiello, Cinzia, Barbara Pernici, Pierluigi Plebani, & Monica Vitali. (2014). Eco-Reports in Clouds.. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 10–13. 1 indexed citations
18.
Vitali, Monica. (2014). Measuring and improving energy efficiency of a data center in a self adaptive context. 1 indexed citations
19.
Vitali, Monica, Una-May O’Reilly, & Kalyan Veeramachaneni. (2013). Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring. 36. 103–108. 2 indexed citations
20.
Cappiello, Cinzia, Mariagrazia Fugini, Alexandre Ferreira, Pierluigi Plebani, & Monica Vitali. (2011). Business process co-design for energy-aware adaptation. 38. 463–470. 12 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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