Donato Zarrilli

553 total citations
18 papers, 410 citations indexed

About

Donato Zarrilli is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Donato Zarrilli has authored 18 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 11 papers in Control and Systems Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Donato Zarrilli's work include Optimal Power Flow Distribution (10 papers), Smart Grid Energy Management (10 papers) and Microgrid Control and Optimization (9 papers). Donato Zarrilli is often cited by papers focused on Optimal Power Flow Distribution (10 papers), Smart Grid Energy Management (10 papers) and Microgrid Control and Optimization (9 papers). Donato Zarrilli collaborates with scholars based in Italy and United Kingdom. Donato Zarrilli's co-authors include Antonio Vicino, Simone Paoletti, Antonio Giannitrapani, Gianni Bianchini, Marco Casini, Pierluigi Mancarella, Lorenzo Fagiano, Alessio La Bella, Riccardo Scattolini and Fabio Bonassi and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Donato Zarrilli

18 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donato Zarrilli Italy 7 359 274 102 49 31 18 410
Huy Truong Dinh South Korea 7 318 0.9× 173 0.6× 75 0.7× 47 1.0× 28 0.9× 9 367
Anders Thavlov Denmark 9 270 0.8× 190 0.7× 107 1.0× 62 1.3× 19 0.6× 17 330
Sandeep Kakran India 7 335 0.9× 232 0.8× 41 0.4× 43 0.9× 39 1.3× 17 387
B. Lokeshgupta India 10 528 1.5× 320 1.2× 87 0.9× 71 1.4× 56 1.8× 24 573
Minnesh Bipath South Africa 7 265 0.7× 193 0.7× 45 0.4× 51 1.0× 70 2.3× 7 331
Sahar Rahim Pakistan 7 312 0.9× 195 0.7× 73 0.7× 60 1.2× 18 0.6× 11 346
Rodrigo Fiorotti Brazil 10 262 0.7× 122 0.4× 55 0.5× 57 1.2× 27 0.9× 23 320
Mohsen Shayestegan Malaysia 7 331 0.9× 173 0.6× 95 0.9× 116 2.4× 18 0.6× 13 396
Hideharu Sugihara Japan 9 412 1.1× 297 1.1× 33 0.3× 92 1.9× 27 0.9× 60 498
Iason-Iraklis Avramidis Luxembourg 10 301 0.8× 153 0.6× 51 0.5× 32 0.7× 15 0.5× 26 333

Countries citing papers authored by Donato Zarrilli

Since Specialization
Citations

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

Fields of papers citing papers by Donato Zarrilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donato Zarrilli

This figure shows the co-authorship network connecting the top 25 collaborators of Donato Zarrilli. A scholar is included among the top collaborators of Donato Zarrilli 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 Donato Zarrilli. Donato Zarrilli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Mitridati, Lesia, et al.. (2025). The value of ancillary services for electrolyzers. Computers & Chemical Engineering. 204. 109360–109360. 1 indexed citations
2.
Bonassi, Fabio, et al.. (2020). Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids’ aggregators. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 985–989. 5 indexed citations
3.
Zarrilli, Donato, Antonio Giannitrapani, Simone Paoletti, & Antonio Vicino. (2017). Energy Storage Operation for Voltage Control in Distribution Networks: A Receding Horizon Approach. IEEE Transactions on Control Systems Technology. 26(2). 599–609. 45 indexed citations
4.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2017). Coordinated control of on-load tap changer and energy storage systems for voltage support in distribution networks. Use Siena air (University of Siena). pp. 825–830. 1 indexed citations
5.
Giannitrapani, Antonio, et al.. (2017). Sizing of energy storage systems considering uncertainty on demand and generation. IFAC-PapersOnLine. 50(1). 8861–8866. 6 indexed citations
6.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2017). Optimal allocation of energy storage systems for voltage control in LV distribution networks. 1–1. 12 indexed citations
7.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2016). Optimal Allocation of Energy Storage Systems for Voltage Control in LV Distribution Networks. IEEE Transactions on Smart Grid. 8(6). 2859–2870. 146 indexed citations
8.
Giannitrapani, Antonio, et al.. (2016). Energy storage sizing for voltage control in LV networks under uncertainty on PV generation. Use Siena air (University of Siena). 1–6. 5 indexed citations
9.
Bianchini, Gianni, Marco Casini, Antonio Vicino, & Donato Zarrilli. (2016). Demand-response in building heating systems: A Model Predictive Control approach. Applied Energy. 168. 159–170. 136 indexed citations
10.
Zarrilli, Donato, Antonio Vicino, & Pierluigi Mancarella. (2016). Sharing energy resources in distribution networks: An initial investigation through OPF studies. 306–311. 2 indexed citations
11.
Zarrilli, Donato, Antonio Giannitrapani, Simone Paoletti, & Antonio Vicino. (2016). Receding Horizon Voltage Control in LV Networks with Energy Storage. Use Siena air (University of Siena). 85. 7496–7501. 2 indexed citations
12.
Paoletti, Simone, Antonio Vicino, & Donato Zarrilli. (2015). Computational methods for technical validation of demand response products. Use Siena air (University of Siena). 13. 117–122. 1 indexed citations
13.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2015). Algorithms for placement and sizing of energy storage systems in low voltage networks. Use Siena air (University of Siena). pp. 3945–3950. 7 indexed citations
14.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2015). Bidding Wind Energy Exploiting Wind Speed Forecasts. IEEE Transactions on Power Systems. 31(4). 2647–2656. 21 indexed citations
15.
Bianchini, Gianni, Marco Casini, Antonio Vicino, & Donato Zarrilli. (2014). Receding horizon control for demand-response operation of building heating systems. Use Siena air (University of Siena). 4862–4867. 5 indexed citations
16.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2014). Bidding strategies for renewable energy generation with non stationary statistics. IFAC Proceedings Volumes. 47(3). 10784–10789. 6 indexed citations
17.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2013). Wind power bidding in a soft penalty market. Use Siena air (University of Siena). 1013–1018. 5 indexed citations
18.
Giannitrapani, Antonio, Simone Paoletti, Antonio Vicino, & Donato Zarrilli. (2013). Exploiting weather forecasts for sizing photovoltaic energy bids. Use Siena air (University of Siena). 1–5. 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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