Giulia Giordano
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 12
-
- Advanced Control Systems Optimization 13
- Stability and Control of Uncertain Systems 8
- Co-authors
- Franco BlanchiniPatrizio ColaneriRaffaele BrunoMarta ColaneriDi Filippo AAngela Di MatteoElisa FrancoChristian Cuba Samaniego
- Journals
- IEEE Control Systems Letters (11 papers)Automatica (8 papers)Scientific Reports (5 papers)IEEE Transactions on Automatic Control (5 papers)Annual Reviews in Control (4 papers)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Giulia Giordano
119 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Modeling and Simulation 1.2k
- Infectious Diseases 558
- Statistical and Nonlinear Physics 152
- Economics and Econometrics 337
- Control and Systems Engineering 275
Countries citing papers authored by Giulia Giordano
This map shows the geographic impact of Giulia Giordano'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 Giulia Giordano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Giordano more than expected).
Fields of papers citing papers by Giulia Giordano
This network shows the impact of papers produced by Giulia Giordano. 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 Giulia Giordano. The network helps show where Giulia Giordano may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Giordano, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 37 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2014 | 60 |
About Giulia Giordano
Giulia Giordano is a scholar working on Modeling and Simulation, Control and Systems Engineering, Biophysics, Computer Networks and Communications and Physical and Theoretical Chemistry, having authored 131 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (41 papers), Advanced Control Systems Optimization (13 papers), COVID-19 epidemiological studies (12 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Distributed Control Multi-Agent Systems (9 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Neural Networks Stability and Synchronization (8 papers) and Stability and Control of Uncertain Systems (8 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Infectious Diseases (558 citations), Statistical and Nonlinear Physics (152 citations), Economics and Econometrics (337 citations) and Control and Systems Engineering (275 citations). Giulia Giordano has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Franco Blanchini, Patrizio Colaneri, Raffaele Bruno, Marta Colaneri, Di Filippo A, Angela Di Matteo, Elisa Franco, Christian Cuba Samaniego, Pier Luca Montessoro and Paolo Bolzern. Their work appears in journals such as IEEE Control Systems Letters, Automatica, Scientific Reports, IEEE Transactions on Automatic Control and Annual Reviews in Control.
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.