Stéphane Ghozzi
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
Papers in
-
- Data-Driven Disease Surveillance 6
-
- COVID-19 epidemiological studies 6
- Co-authors
- Michael Lässig (1 shared paper)Karin Schnetz (1 shared paper)Johannes Berg (1 shared paper)Lília Perfeito (1 shared paper)Alexander Ullrich (5 shared papers)Gordon Pipa (1 shared paper)Martín Lotto Batista (3 shared papers)Stefanie Castell (3 shared papers)
- Journals
- Eurosurveillance (2 papers)Physics Letters B (1 paper)International Journal of Infectious Diseases (1 paper)PLoS Computational Biology (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomSpain
In The Last Decade
Stéphane Ghozzi
15 papers receiving 181 citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 28
- Nuclear and High Energy Physics 47
- Parasitology 13
- Genetics 39
- Infectious Diseases 23
Countries citing papers authored by Stéphane Ghozzi
This map shows the geographic impact of Stéphane Ghozzi'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 Stéphane Ghozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Ghozzi more than expected).
Fields of papers citing papers by Stéphane Ghozzi
This network shows the impact of papers produced by Stéphane Ghozzi. 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 Stéphane Ghozzi. The network helps show where Stéphane Ghozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Ghozzi, 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 | 2004 | 49 | |
| 2 | 2011 | 43 | |
| 3 | 2019 | 18 | |
| 4 | 2020 | 17 | |
| 5 | 2023 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2018 | 4 | |
| 10 | 2010 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 0 |
About Stéphane Ghozzi
Stéphane Ghozzi is a scholar working on Epidemiology, Modeling and Simulation, Parasitology, Infectious Diseases and Genetics, having authored 16 papers that have together received 184 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (6 papers), COVID-19 epidemiological studies (6 papers), Viral Infections and Vectors (3 papers), Leptospirosis research and findings (2 papers), Gene Regulatory Network Analysis (2 papers), Vector-borne infectious diseases (2 papers), Vaccine Coverage and Hesitancy (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Nuclear and High Energy Physics (47 citations), Parasitology (13 citations), Genetics (39 citations) and Infectious Diseases (23 citations). Stéphane Ghozzi has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Michael Lässig, Karin Schnetz, Johannes Berg, Lília Perfeito, Alexander Ullrich, Gordon Pipa, Martín Lotto Batista, Stefanie Castell, Manas K. Akmatov and Emily Nightingale. Their work appears in journals such as Eurosurveillance, Physics Letters B, International Journal of Infectious Diseases, PLoS Computational Biology and Philosophical Transactions of the Royal Society B Biological Sciences.
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.