Ira M. Longini
- Modeling and Simulation top 0.01%
- Epidemiology top 0.1%
- Infectious Diseases top 0.05%
- Public Health, Environmental and Occupational Health top 0.2%
- Health top 0.1%
- Co-authors
- M. Elizabeth HalloranJames S. KoopmanAzhar NizamDennis L. ChaoAlessandro VespignaniClaúdio J. StruchinerAna Pastore y PionttiNatalie E. Dean
- Topics
- COVID-19 epidemiological studies (115 papers)Influenza Virus Research Studies (77 papers)Vaccine Coverage and Hesitancy (32 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Ira M. Longini
213 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Modeling and Simulation 10.0k
- Epidemiology 8.2k
- Infectious Diseases 6.5k
- Public Health, Environmental and Occupational Health 3.4k
- Health 2.0k
Countries citing papers authored by Ira M. Longini
This map shows the geographic impact of Ira M. Longini'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 Ira M. Longini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ira M. Longini more than expected).
Fields of papers citing papers by Ira M. Longini
This network shows the impact of papers produced by Ira M. Longini. 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 Ira M. Longini. The network helps show where Ira M. Longini may publish in the future.
Co-authorship network of co-authors of Ira M. Longini
This figure shows the co-authorship network connecting the top 25 collaborators of Ira M. Longini. A scholar is included among the top collaborators of Ira M. Longini 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 Ira M. Longini. Ira M. Longini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 51 | |
| 5 | Household Secondary Attack Rates of SARS-CoV-2 by Variant and Vaccination Statusbreakdown → | 123 |
| 6 | 2 | |
| 7 | The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreakbreakdown → | 2411 |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 41 | |
| 11 | 10 | |
| 12 | 47 | |
| 13 | 20 | |
| 14 | 15 | |
| 15 | 34 | |
| 16 | 109 | |
| 17 | 63 | |
| 18 | 53 | |
| 19 | 215 | |
| 20 | 148 |
About Ira M. Longini
Ira M. Longini is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 215 papers that have together received 19.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (115 papers), Influenza Virus Research Studies (77 papers) and Vaccine Coverage and Hesitancy (32 papers). The work is most often cited by research in Modeling and Simulation (10.0k citations), Infectious Diseases (6.5k citations) and Epidemiology (8.2k citations). Ira M. Longini has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include M. Elizabeth Halloran, James S. Koopman, Azhar Nizam, Dennis L. Chao, Alessandro Vespignani, Claúdio J. Struchiner, Ana Pastore y Piontti, Natalie E. Dean, M. Elizabeth Halloran and Arnold S. Monto. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.