Giovanni Giannoccaro
-
- Microgrid Control and Optimization 13
- Real-time simulation and control systems 12
- Smart Grid Security and Resilience 7
-
- Smart Grid Energy Management 14
- Photonic and Optical Devices 4
- Electric Vehicles and Infrastructure 3
- Optimal Power Flow Distribution 3
- Electric Power System Optimization 3
- Co-authors
- Massimo La ScalaSérgio BrunoVittorio M. N. PassaroBenedetto TroiaFrancesco De LeonardisYang MiJie WangAndrea Mazza
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
In The Last Decade
Giovanni Giannoccaro
28 papers receiving 364 citations
Peers
Comparison fields: 5 of 56
- Control and Systems Engineering 160
- Electrical and Electronic Engineering 302
- Energy Engineering and Power Technology 16
- Atomic and Molecular Physics, and Optics 94
- Automotive Engineering 23
Countries citing papers authored by Giovanni Giannoccaro
This map shows the geographic impact of Giovanni Giannoccaro'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 Giovanni Giannoccaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Giannoccaro more than expected).
Fields of papers citing papers by Giovanni Giannoccaro
This network shows the impact of papers produced by Giovanni Giannoccaro. 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 Giovanni Giannoccaro. The network helps show where Giovanni Giannoccaro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giovanni Giannoccaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 43 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 8 | |
| 14 | Energy Router for Optimizing Resources in a Demand Response Framework | 2017 | 2 |
| 15 | 2017 | 3 | |
| 16 | 2016 | 8 | |
| 17 | 2014 | 14 | |
| 18 | PHOTONIC STRUCTURES BASED ON SLOT WAVEGUIDES FOR NANOSENSORS: STATE OF THE ART AND FUTURE DEVELOPMENTS | 2012 | 12 |
| 19 | 2012 | 122 | |
| 20 | 2011 | 1 |
About Giovanni Giannoccaro
Giovanni Giannoccaro is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Condensed Matter Physics, having authored 30 papers that have together received 384 indexed citations. Recurring topics across this work include Smart Grid Energy Management (14 papers), Microgrid Control and Optimization (13 papers), Real-time simulation and control systems (12 papers), Smart Grid Security and Resilience (7 papers), Photonic and Optical Devices (4 papers), Electric Vehicles and Infrastructure (3 papers), Optimal Power Flow Distribution (3 papers) and Electric Power System Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (160 citations), Electrical and Electronic Engineering (302 citations) and Energy Engineering and Power Technology (16 citations). Giovanni Giannoccaro has collaborated with scholars based in Italy, Germany and Mexico. Frequent co-authors include Massimo La Scala, Sérgio Bruno, Vittorio M. N. Passaro, Benedetto Troia, Francesco De Leonardis, Francesco De Leonardis, Yang Mi, Jie Wang, Andrea Mazza and Enrico Pons. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Industry Applications.
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.