Máire A Connolly
- Infectious Diseases top 5%
- Emergency Medical Services top 1%
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Michelle GayerJohn T. WatsonDominique HeymannMichael J. RyanPaul SpiegelPeter SalamaDominique LegrosPierre Formenty
- Topics
- COVID-19 epidemiological studies (10 papers)Disaster Response and Management (8 papers)Viral Infections and Outbreaks Research (7 papers)
- Journals
- The LancetEmerging infectious diseasesInternational Journal of Environmental Research and Public Health
- Partner nations
- IrelandSwitzerlandNetherlands
In The Last Decade
Máire A Connolly
26 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Infectious Diseases 469
- Emergency Medical Services 305
- General Health Professions 269
- Sociology and Political Science 226
- Public Health, Environmental and Occupational Health 226
Countries citing papers authored by Máire A Connolly
This map shows the geographic impact of Máire A Connolly'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 Máire A Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máire A Connolly more than expected).
Fields of papers citing papers by Máire A Connolly
This network shows the impact of papers produced by Máire A Connolly. 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 Máire A Connolly. The network helps show where Máire A Connolly may publish in the future.
Co-authorship network of co-authors of Máire A Connolly
This figure shows the co-authorship network connecting the top 25 collaborators of Máire A Connolly. A scholar is included among the top collaborators of Máire A Connolly 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 Máire A Connolly. Máire A Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Addressing vulnerability to the health risks of extreme heat in urbanising Ahmedabad, India | 1 |
| 17 | 39 | |
| 18 | 34 | |
| 19 | 329 | |
| 20 | 60 |
About Máire A Connolly
Máire A Connolly is a scholar working on Modeling and Simulation, Emergency Medical Services and Infectious Diseases, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Disaster Response and Management (8 papers) and Viral Infections and Outbreaks Research (7 papers). The work is most often cited by research in Emergency Medical Services (305 citations), Modeling and Simulation (153 citations) and Infectious Diseases (469 citations). Máire A Connolly has collaborated with scholars based in Ireland, Switzerland and Netherlands. Frequent co-authors include Michelle Gayer, John T. Watson, Dominique Heymann, Michael J. Ryan, Paul Spiegel, Peter Salama, Dominique Legros, Pierre Formenty, Peter B. Nunn and Patricia Harrington. Their work appears in journals such as The Lancet, Emerging infectious diseases and International Journal of Environmental Research and 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.