Davide Liuzza

54 papers receiving 1.4k citations

Peers

Davide Liuzza
Comparison fields: 5 of 109
  • Energy Engineering and Power Technology 145
  • Modeling and Simulation 126
  • Computer Networks and Communications 504
  • Control and Systems Engineering 399
  • Nuclear and High Energy Physics 158
Replace Shaohong Cai with:
Shaohong Cai China
Vaithianathan Mani Venkatasubramanian United States
Muhammad Adil Khan Pakistan
Chuang Liu China
J. Zaborszky United States
Ammara Mehmood Pakistan
Corrado Possieri Italy
Mario Sassano Italy
Chika O. Nwankpa United States
Davide Liuzza relative to Shaohong Cai China Shaohong Cai's profile →
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Citations per year

Countries citing papers authored by Davide Liuzza

Since Specialization
Citations

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

Fields of papers citing papers by Davide Liuzza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Liuzza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Liuzza Line = papers co-authored together Davide Liuzza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015149
2 2020143
3 2019132
4 2016102
5
DTT - Divertor Tokamak Test facility - Interim Design Report
201968
6 201564
7 202361
8 202160
9 202454
10 202149
11 201044
12 202239
13 202337
14 201732
15 201429
16 201427
17 202427
18 201525
19 202422
20 202221

About Davide Liuzza

Davide Liuzza is a scholar working on Computer Networks and Communications, Energy Engineering and Power Technology, Nuclear and High Energy Physics, Control and Systems Engineering and Automotive Engineering, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (14 papers), Neural Networks Stability and Synchronization (12 papers), Magnetic confinement fusion research (11 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Hybrid Renewable Energy Systems (7 papers), Microgrid Control and Optimization (6 papers), Reinforcement Learning in Robotics (4 papers) and Electric Vehicles and Infrastructure (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (145 citations), Modeling and Simulation (126 citations), Computer Networks and Communications (504 citations), Control and Systems Engineering (399 citations) and Nuclear and High Energy Physics (158 citations). Davide Liuzza has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Mario di Bernardo, Luigi Glielmo, Dimos V. Dimarogonas, Karl Henrik Johansson, Pietro De Lellis, Muhammad Bakr Abdelghany, Valerio Mariani, Giuseppe Silano, Guodong Shi and Francesco Alderisio. Their work appears in journals such as Nuclear Fusion, Fusion Engineering and Design, IEEE Control Systems Letters, IEEE Transactions on Control of Network Systems and International Journal of Hydrogen Energy.

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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