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 15
-
- Data-Driven Disease Surveillance 5
- 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)Artur Galazka (1 shared paper)Anastasia Pharris (1 shared paper)C. Roure (1 shared paper)
- Journals
- Eurosurveillance (6 papers)European Journal of Public Health (2 papers)BMC Health Services Research (2 papers)BMJ Open (1 paper)Evidence & Policy (1 paper)
- Partner nations
- SwedenNetherlandsUnited Kingdom
In The Last Decade
Massimo Ciotti
24 papers receiving 505 citations
Peers
Comparison fields: 5 of 93
- Endocrinology 97
- Modeling and Simulation 81
- Emergency Medical Services 92
- Infectious Diseases 205
- Small Animals 40
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 111 | |
| 2 | 2006 | 108 | |
| 3 | 2020 | 48 | |
| 4 | 2014 | 44 | |
| 5 | 2018 | 29 | |
| 6 | 2018 | 24 | |
| 7 | 2012 | 24 | |
| 8 | 2017 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2016 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 14 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2006 | 5 | |
| 17 | 2005 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2020 | 3 |
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 25 papers that have together received 534 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (15 papers), Disaster Response and Management (8 papers), COVID-19 epidemiological studies (7 papers), Disaster Management and Resilience (5 papers), Data-Driven Disease Surveillance (5 papers), Zoonotic diseases and public health (4 papers), Influenza Virus Research Studies (3 papers) and Public Health Policies and Education (2 papers). The work is most often cited by research in Endocrinology (97 citations), Modeling and Simulation (81 citations), Emergency Medical Services (92 citations), Infectious Diseases (205 citations) and Small Animals (40 citations). Massimo Ciotti has collaborated with scholars based in Sweden, Netherlands and United Kingdom. Frequent co-authors include Svetla Tsolova, D Coulombier, Reinhard Kaiser, Christophe Paquet, Jonathan E. Suk, Artur Galazka, Anastasia Pharris, C. Roure, S Dittmann and Peter M. Strebel. Their work appears in journals such as Eurosurveillance, European Journal of Public Health, BMC Health Services Research, BMJ Open and Evidence & Policy.
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.