Bruno Buonomo
- Public Health, Environmental and Occupational Health top 1%
- Modeling and Simulation top 0.2%
- Genetics top 5%
- Infectious Diseases top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Deborah LacitignolaAlberto d’OnofrioCruz Vargas‐De‐LeónRossella Della MarcaSalvatore RioneroNakul ChitnisMarianna CerasuoloIvonne Sgura
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (45 papers)COVID-19 epidemiological studies (32 papers)Evolution and Genetic Dynamics (28 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Theoretical BiologyEcological Modelling
In The Last Decade
Bruno Buonomo
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Public Health, Environmental and Occupational Health 1.1k
- Modeling and Simulation 908
- Genetics 577
- Infectious Diseases 138
- Statistical and Nonlinear Physics 120
Countries citing papers authored by Bruno Buonomo
This map shows the geographic impact of Bruno Buonomo'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 Bruno Buonomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Buonomo more than expected).
Fields of papers citing papers by Bruno Buonomo
This network shows the impact of papers produced by Bruno Buonomo. 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 Bruno Buonomo. The network helps show where Bruno Buonomo may publish in the future.
Co-authorship network of co-authors of Bruno Buonomo
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Buonomo. A scholar is included among the top collaborators of Bruno Buonomo 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 Bruno Buonomo. Bruno Buonomo 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 37 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 52 | |
| 11 | 33 | |
| 12 | 34 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 20 | |
| 16 | 94 | |
| 17 | 29 | |
| 18 | 10 | |
| 19 | 36 | |
| 20 | 41 |
About Bruno Buonomo
Bruno Buonomo is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (45 papers), COVID-19 epidemiological studies (32 papers) and Evolution and Genetic Dynamics (28 papers). The work is most often cited by research in Modeling and Simulation (908 citations), Public Health, Environmental and Occupational Health (1.1k citations) and Genetics (577 citations). Bruno Buonomo has collaborated with scholars based in Italy, France and Mexico. Frequent co-authors include Deborah Lacitignola, Alberto d’Onofrio, Cruz Vargas‐De‐León, Rossella Della Marca, Salvatore Rionero, Nakul Chitnis, Marianna Cerasuolo, Ivonne Sgura, Maria Groppi and Piero Manfredi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Ecological Modelling.
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.