Giampaolo Liuzzi
- Computational Theory and Mathematics top 1%
- Numerical Analysis top 2%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Ocean Engineering top 5%
- Co-authors
- Stefano LucidiVeronica PiccialliFrancesco RinaldiMarco SciandroneEmilio F. CampanaMatteo DiezAndrea SeraniMarco Villani
- Topics
- Advanced Optimization Algorithms Research (31 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)Optimization and Variational Analysis (8 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Giampaolo Liuzzi
53 papers receiving 805 citations
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 452
- Numerical Analysis 350
- Artificial Intelligence 219
- Control and Systems Engineering 151
- Ocean Engineering 120
Countries citing papers authored by Giampaolo Liuzzi
This map shows the geographic impact of Giampaolo Liuzzi'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 Giampaolo Liuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giampaolo Liuzzi more than expected).
Fields of papers citing papers by Giampaolo Liuzzi
This network shows the impact of papers produced by Giampaolo Liuzzi. 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 Giampaolo Liuzzi. The network helps show where Giampaolo Liuzzi may publish in the future.
Co-authorship network of co-authors of Giampaolo Liuzzi
This figure shows the co-authorship network connecting the top 25 collaborators of Giampaolo Liuzzi. A scholar is included among the top collaborators of Giampaolo Liuzzi 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 Giampaolo Liuzzi. Giampaolo Liuzzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 23 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 11 | |
| 16 | A Linesearch-based Derivative-free Approach for Nonsmooth Optimization | 1 |
| 17 | 13 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 49 |
About Giampaolo Liuzzi
Giampaolo Liuzzi is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 58 papers that have together received 836 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (31 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Optimization and Variational Analysis (8 papers). The work is most often cited by research in Numerical Analysis (350 citations), Computational Theory and Mathematics (452 citations) and Statistics, Probability and Uncertainty (70 citations). Giampaolo Liuzzi has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Stefano Lucidi, Veronica Piccialli, Francesco Rinaldi, Marco Sciandrone, Emilio F. Campana, Matteo Diez, Andrea Serani, Marco Villani, Giovanni Fasano and F. Parasiliti. Their work appears in journals such as BMC Bioinformatics, Mathematical Programming and IEEE Transactions on Magnetics.
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.