Massimo Ciotti
Impact in
- Endocrinology top 5%
- Diphtheria, Corynebacterium, and Tetanus
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Outbreaks Research 9
-
- Data-Driven Disease Surveillance 6
- Influenza Virus Research Studies 3
- Co-authors
- Svetla Tsolova (11 shared papers)D Coulombier (5 shared papers)Reinhard Kaiser (3 shared papers)Christophe Paquet (2 shared papers)Jonathan E. Suk (5 shared papers)Peter M. Strebel (1 shared paper)Charles Vitek (1 shared paper)Robert Steinglass (1 shared paper)
- Journals
- Eurosurveillance (6 papers)BMC Health Services Research (2 papers)European Journal of Public Health (2 papers)Health Security (1 paper)BMC Public Health (1 paper)
- Partner nations
- SwedenUnited KingdomNetherlands
In The Last Decade
Massimo Ciotti
26 papers receiving 556 citations
Peers
Comparison fields: 5 of 92
- Endocrinology 117
- Modeling and Simulation 60
- Infectious Diseases 173
- Emergency Medical Services 60
- Small Animals 39
Countries citing papers authored by Massimo Ciotti
This map shows the geographic impact of Massimo Ciotti'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 Massimo Ciotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Ciotti more than expected).
Fields of papers citing papers by Massimo Ciotti
This network shows the impact of papers produced by Massimo Ciotti. 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 Massimo Ciotti. The network helps show where Massimo Ciotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Ciotti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 142 | |
| 2 | 2006 | 130 | |
| 3 | 2020 | 51 | |
| 4 | 2014 | 47 | |
| 5 | 2018 | 29 | |
| 6 | 2018 | 25 | |
| 7 | 2012 | 25 | |
| 8 | 2017 | 22 | |
| 9 | 2016 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2006 | 5 | |
| 17 | 2005 | 5 | |
| 18 | [New therapeutic strategies for the treatment of difficult wounds]. | 2008 | 5 |
| 19 | 2021 | 4 | |
| 20 | 2008 | 4 |
About Massimo Ciotti
Massimo Ciotti is a scholar working on Infectious Diseases, Epidemiology, Emergency Medical Services, Sociology and Political Science and Modeling and Simulation, having authored 27 papers that have together received 608 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (9 papers), Disaster Response and Management (7 papers), Data-Driven Disease Surveillance (6 papers), COVID-19 epidemiological studies (5 papers), Zoonotic diseases and public health (3 papers), Disaster Management and Resilience (3 papers), Influenza Virus Research Studies (3 papers) and Global Security and Public Health (2 papers). The work is most often cited by research in Endocrinology (117 citations), Modeling and Simulation (60 citations), Infectious Diseases (173 citations), Emergency Medical Services (60 citations) and Small Animals (39 citations). Massimo Ciotti has collaborated with scholars based in Sweden, United Kingdom and Netherlands. Frequent co-authors include Svetla Tsolova, D Coulombier, Reinhard Kaiser, Christophe Paquet, Jonathan E. Suk, Peter M. Strebel, Charles Vitek, Robert Steinglass, Iain R. B. Hardy and Artur Galazka. Their work appears in journals such as Eurosurveillance, BMC Health Services Research, European Journal of Public Health, Health Security and BMC Public Health.
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.